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000-427 - IBM System z Solution Sales V3 - BrainDump Information

Vendor Name : IBM
Exam Code : 000-427
Exam Name : IBM System z Solution Sales V3
Questions and Answers : 47 Q & A
Updated On : October 12, 2018
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000-427 exam Dumps Source : IBM System z Solution Sales V3

Test Code : 000-427
Test Name : IBM System z Solution Sales V3
Vendor Name : IBM
Q&A : 47 Real Questions

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IBM IBM System z Solution

IBM (IBM) proclaims Collaboration with NVIDIA (NVDA) to extend Open source computer discovering equipment for data Scientists | killexams.com Real Questions and Pass4sure dumps

No result discovered, are attempting new keyword!With IBM's big portfolio of deep researching and machine discovering options, it's optimum positioned to bring ... Senior vp of IBM Cognitive systems. "We appear to proceed to aggressively push ...

IBM revenue: buyers wish to see how Watson holds on to AI, desktop getting to know market | killexams.com Real Questions and Pass4sure dumps

foreign company Machines Corp.’s artificial intelligence product Watson seems to be losing ground to competitors, and investors will possible want to know the way that’s affecting the tech large’s cognitive-options enterprise.

IBM IBM, +0.forty one%  is scheduled to file third-quarter income after the bell on Tuesday. whereas cognitive options, which contains Watson, is anticipated to be IBM’s poorest performing phase in this profits record, it happens in a seasonally susceptible quarter for IBM.

Analysts surveyed via FactSet predict cognitive-solutions profits to say no 2% to $4.31 billion from the year-in the past quarter, and that looks to be happening while IBM is dropping business to rivals like Amazon.com Inc. AMZN, -1.27%  and Microsoft Corp. MSFT, -0.seventy eight%

In a Morgan Stanley survey of chief counsel officers — 76 from U.S. IT businesses and 24 from European businesses, conducted in August and September — the firm found that 43% of CIOs are evaluating the use of AI and desktop researching in their companies, compared with 35% within the yr in the past period. but with that enhance, IBM has misplaced its dominance, in keeping with Morgan Stanley.

Of the CIOs surveyed, 27% preferred Amazon as a vendor, up from 24% in the yr-in the past survey. selection for IBM fell to 24% of respondents from 33% in the 12 months-in the past survey. Microsoft remained in third vicinity at 20%, up from 15% within the year-ago survey.

also, 30% of respondents said they'd an commercial enterprise license agreement with IBM in the third quarter, down from 35% within the first quarter. but of people who had an ELA, 28% pointed out they'd renew at a stronger cost. The survey discovered that fifty three% are expecting to resume an ELA with IBM over the next 18 months, in comparison with fifty eight% within the first quarter.

examine: A 12 months after Equifax, cybersecurity continues to be searching for its Holy Grail

here’s what to are expecting when IBM experiences subsequent week:

revenue: Of the 21 analysts surveyed by FactSet, IBM on usual is anticipated to publish adjusted revenue of $3.39 a share, in comparison with $three.30 a share within the 12 months in the past period. The existing forecast is down from the $three.forty two a share expected initially of the quarter. Estimize, a utility platform that makes use of crowdsourcing from hedge-fund executives, brokerages, purchase-aspect analysts and others, is calling for profits of $three.forty three a share.

earnings: Wall highway expects salary of $19.1 billion from IBM, a decline of 0.3% from the 12 months in the past quarter, in response to 19 analysts polled through FactSet. That’s additionally down from the $19.44 billion forecast initially of the quarter. Estimize expects salary of $19.27 billion.

In IBM’s different company segments, technology capabilities and cloud-platform income is anticipated to slide 0.2% to $eight.44 billion. technology services and cloud-platform includes IBM Cloud, previously referred to as Bluemix.

global business functions profits is anticipated to decline 0.7% to $four.06 billion, and systems profits is forecast to upward thrust three.4% to $1.seventy eight billion from the 12 months-in the past period.

international enterprise services comprises consulting for modernizing business design and business and cloud applications, whereas the programs company comprises operating-systems application and the business’s mainframe enterprise, together with IBM’s z14 line of servers.

stock movement: At Friday’s close, IBM shares are down 3.eight% due to the fact that their previous profits file, in comparison with a 0.6% decline in the Dow Jones Industrial normal DJIA, +0.03% a three.1% decline within the S&P 500 index SPX, -0.14% and a 6.7% drop within the tech-heavy Nasdaq Composite Index COMP, -0.38% over that point. For the yr, IBM’s stock is down eight.2%, in comparison with a 2.5% upward push within the Dow regular, a 3.5% develop in the S&P 500, and an eight.6% gain in the Nasdaq.

What analysts are announcing: Of the 25 analysts who cover IBM, 10 have purchase or overweight ratings, 12 have cling scores and three have promote or underweight scores, with a normal cost target of $163.14, based on FactSet.

Stifel analyst David Grossman, who has a purchase rating on IBM and a $178 expense goal, mentioned that the company’s third quarter is seasonally vulnerable, so he does not predict “a major exchange in sentiment or the primary outlook.”

“At this stage of the cycle, we think the positives outweigh the negatives, notably given the valuation (11x) and dividend yield (four.2%),” Grossman spoke of. “If there's one significant chance other than execution, it's the volatility of the core software belongings (Cognitive), which is mixing from on premise to [Software-as-a-Service] and requiring definite investments to remain competitive.”

examine: The 15 U.S. businesses that are investing essentially the most in day after today’s huge ideas

united states of americaanalyst John Roy, who has a buy score and a $a hundred and eighty price goal on IBM, observed IBM’s third-quarter revenue decline is already baked into expectations.

“The 3Q is usually difficult for IBM with earnings declining 5% sequentially on ordinary for the final five years, slightly more than our -four% estimate,” Roy talked about in a notice. “despite the fact, we believe here is generally embedded in investor expectations. in the ultimate two years IBM has outperformed the S&P post 3Q effects.”

Roy additionally sees cognitive options as contributing to margin development.

“Cognitive options, seventy five% of application profits and 50% of complete PTI, may see improved margin as IBM continues to shift to greater margin segments via know-how tuck-ins while divesting lessen margin products through licensing deals,” Roy talked about.

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hundreds of main international enterprises deploy IBM Cloud private | killexams.com Real Questions and Pass4sure dumps

No outcome found, try new keyword!ARMONK, N.Y., Oct. 11, 2018 /CNW/ -- IBM ... solutions for customer provider and extra. IBM additionally introduced today that IBM Cloud private is now accessible on the IBM Public Cloud, to support customers to easil...


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000-427 exam Dumps Source : IBM System z Solution Sales V3

Test Code : 000-427
Test Name : IBM System z Solution Sales V3
Vendor Name : IBM
Q&A : 47 Real Questions

actual 000-427 exam questions to pass at first strive.
I exceeded the 000-427 examination way to this package. The questions are correct, and so are the subjects and observecourses. The layout may be very convenient and allows you to examine in distinct codecs - practicing at the testingengine, studying PDFs and printouts, so that you can exercise session the fashion and balance thats right for you. I individually loved working towards at the checking out engine. It fully simulates the examination, which is in particularvital for 000-427 exam, with all their precise question types. So, its a bendy yet dependable way to achieve your 000-427 certification. ill be the use of killexams.com for my subsequent stage certification exams, too.


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New Syllabus 000-427 Exam questions are provided here.
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IBM System z Solution Sales V3

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Can IBM Keep the Earnings Surprise Streak Alive in Q3? | killexams.com real questions and Pass4sure dumps

International Business Machines IBM is set to report third-quarter fiscal 2018 results on Oct 16. Notably, the company surpassed the Zacks Consensus Estimate in the trailing four quarters with an average beat of 1.13%.

IBM’s growing presence in the enterprise artificial intelligence (“AI”) market on the back of an increasing clientele bodes well. Moreover, the company is benefiting from strong demand for z14 Mainframe and Power products. Its improving clout in the cloud, security and analytics remains a tailwind.

Additionally, blockchain has steadily gained prominence and is an integral part of IBM’s product offerings. Notably, the company is part of more than 400 blockchain client engagements.

Factors Influencing Q3 Results

For third-quarter 2018, the Zacks Consensus Estimate for IBM’s earnings is projected to be $3.40 per share representing an increase of 0.4% year over year. However, total revenues are anticipated to be $19.1 billion, reflecting a decline of approximately 0.3% from the year-ago quarter.

IBM’s significant investments in “Strategic Imperatives” — cloud computing, mobile, analytics, cognitive technologies and security is a tailwind.

In the second quarter, Strategic Imperatives revenues advanced 13% on a year-over-year basis to $10.1 billion.

IBM’s solid security portfolio is aiding it in winning clients on a regular basis. Security revenues surged 79%, driven by strong demand for the pervasive encryption of IBM Z, and growth in integrated software and services business.

The company is focusing on cloud computing which is evident from the 60 data centers across 18 availability zones, globally. Notably, cloud revenues surged 18% from the year-ago quarter in the last reported quarter to $4.7 billion.

Coming to Systems, the segment comprises both hardware and operating systems software revenues. Broad-based adoption of the z14 mainframe, power systems and strong flash sales remain key catalysts for the segment.

In the second quarter, Systems revenues surged 24.6% on a year-over-year basis to $2.18 billion.  The Zacks Consensus Estimate for the third quarter is pegged at $1.91 billion.

Robust performance from security and analytics offerings is expected to encourage Cognitive Solutions revenues in the to-be-reported quarter.

Cognitive Solutions’ revenues-external increased 0.5% year over year (down 1.3% at cc) to $4.58 billion in the second quarter. The Zacks Consensus Estimate is currently $4.32 billion for the third quarter.

Additionally, in the second quarter, revenues from Global Business Services-external segment were $4.19 billion, up 2.3% from the year-ago quarter primarily driven by growth in digital consulting offerings. The Zacks consensus estimate for the third quarter is pegged at $4.11 billion.

In the second quarter IBM’s signings increased 6% to $11.5 billion with 13 deals above $100 million. However, the Zacks consensus estimate for the third quarter is pegged at $9.2 billion.

Notable Developments

IBM’s advanced AI, Internet of Things (IoT), blockchain, cloud, machine learning (ML) capabilities, among others makes its offerings well poised to gain robust adoption.

The traction witnessed by the company’s Watson offerings and IBM Cloud is expected to boost the top line.

The company ramped up Watson solutions aimed at accelerating artificial intelligence (AI) development. These solutions will cater to nine industries which include agriculture, customer service, human resources, supply chain, manufacturing, building management, automotive, marketing and advertising.

During the third quarter, IBM also entered into a five-year deal worth AU$1 billion with the Australian government to become its technology partner.

While these developments are expected to positively impact results, weakness in Cognitive, GBS and Signings remains a concern. Moreover continued investments on the development of IBM Cloud might limit margin expansion.

What the Zacks Model Unveils

According to the Zacks model, a company with a Zacks Rank #1 (Strong Buy), 2 (Buy) or 3 (Hold) has a good chance of beating estimates if it also has a positive Earnings ESP. The Sell-rated stocks (Zacks Rank #4 or 5) are best avoided.

IBM has a Zacks Rank #4 (Sell) and an Earnings ESP of -0.68%. You can uncover the best stocks to buy or sell before they’re reported with our Earnings ESP Filter.

Story Continues


IBM: Avoid This Poor-Total-Return And Low-Growth Company | killexams.com real questions and Pass4sure dumps

International Business Machines (IBM), one of the largest computer software technology companies is a avoid for the total return investor. International Business Machines has low growth and has plenty of cash, which it uses to increase the dividend each year. With an earnings beat in the last quarter, IBM will be watched for better growth and is an avoid for The Good Business Portfolio, my IRA portfolio of good business companies that are balanced among all styles of investing.

When I scanned the five-year chart, International Business Machines has a poor chart, going down and to the right in a steady slope for all five years. The chart is the kind of chart you want to avoid, negative slope and volatile.

Chart IBM data by YCharts

Fundamentals of International Business Machines will be reviewed on the following topics below.

  • The Good Business Portfolio Guidelines
  • Total Return and Yearly Dividend
  • Last Quarter's Earnings
  • Company Business
  • Takeaways
  • Recent Portfolio Changes
  • I use a set of guidelines that I codified over the last few years to review the companies in The Good Business Portfolio (my portfolio) and other companies that I am taking a further look. For a complete set of the guidelines, please see my article "The Good Business Portfolio: Update To Guidelines and July 2016 Performance Review". These guidelines provide me with a balanced portfolio of income, defensive, total return and growing companies that hopefully keeps me ahead of the Dow average.

    Good Business Portfolio Guidelines

    International Business Machines passes 8 of 11 Good Business Portfolio Guideline, a good score (a good score is 10 or 11). These guidelines are only used to filter companies to be considered in the portfolio. Some of the points brought out by the guidelines are shown below.

  • International Business Machines does meet my dividend guideline of having dividends increase for 8 of the last ten years and having a minimum of 1% yield, with 19 years of increasing dividends and a 4.4% yield. International Business Machines is, therefore, a choice for the dividend income investor but is mitigated by the poor total return. The payout ratio of dividends is moderate at 47%. After paying the dividend, this leaves cash remaining for investment in expanding the business and increasing the dividend.
  • I have a capitalization guideline where the capitalization must be greater than $10 Billion. International Business Machines easily passes this guideline. International Business Machines is a large-cap company with a capitalization of $138 Billion. International Business Machines' 2018 projected cash flow at $12.6 Billion is good, allowing the company to have the means for company growth and dividend increases.
  • I also require the CAGR going forward to be able to cover my yearly expenses and my RMD with a CAGR of 7%. My dividends provide 3.2% of the portfolio as income, and I need 1.9% more for a yearly expense distribution of 5.1%. The three-year forward CAGR of 5% misses my guideline requirement. This poor future growth for International Business Machines may start to improve benefiting from the continued strong growth in the worldwide economy and cloud computing.
  • My total return guideline is that total return must be greater than the Dow's total return over my test period. International Business Machines fails this guideline since the total return is 35.31%, less than the Dow's total return of 57.78%. Looking back five years, $10,000 invested five years ago would now be worth over $9,600 today. This makes International Business Machines a poor investment for the total return investor looking back.
  • One of my guidelines is that the S&P CFRA rating must be three stars or better. IBM's S&P CFRA rating is four stars or buy with a target price to $175.0, passing the guideline. IBM's price is presently 23% below the target. International Business Machines is under the target price at present and has a relatively low PE ratio of 11, making International Business Machines a fair buy at this entry point with possible growth for the long-term investor.
  • One of my guidelines is whether I would buy the whole company if I could. The answer is no. The total return is poor and makes International Business Machines a poor business to own for growth long term while the high dividend yield gives you some income. The Good Business Portfolio likes to embrace all kinds of investment styles but concentrates on buying businesses that can be understood, makes a fair profit, invests profits back into the business and also generates a fair income stream. Most of all what makes International Business Machines interesting is the potential long-term growth of the economy and population. Cloud computing may be the answer to returning IBM to above average growth. IBM was the king in computing 50 years ago, but they have not keep up with the changing technology.
  • Total Return and Yearly Dividend

    The Good Business Portfolio Guidelines are just a screen to start with and not absolute rules. When I look at a company, the total return is a key parameter to see if it fits the objective of the Good Business Portfolio. International Business Machines strongly under-performs against the Dow baseline in my 57.0-month test compared to the Dow average. I chose the 57.0 month test period (starting January 1, 2014, and ending to date) because it includes the great year of 2017, and other years that had fair and bad performance. The poor total return of 35.31% makes International Business Machines a subpar investment for the total return investor. International Business Machines has an above average dividend yield of 4.4% and has had increases for 19 years in a row, making International Business Machines a fair choice for the dividend growth investor but is mitigated by the low total return.

    DOW's 57.0 Month total return baseline is 57.78%

    Company name

    57 Month total return

    The difference from DOW baseline

    Quarterly dividend percentage

    IBM

    35.31%

    -22.47%

    4.4%

    Click to enlarge

    Last Quarter's Earnings

    For the last quarter on July 25, 2018, International Business Machines reported earnings that beat expected by $.04 at $3.08, compared to last year at $2.94. Total revenue was higher at $20 Billion more than a year ago by 3.7% year over year and beat expected revenue by $120 Million. This was a good report, with the bottom line beating expectations and the top line increasing with an increase compared to last year. The next earnings report will be out October 2018 and is expected to be $3.39 compared to last year at $3.26 a small increase.

    The graphic below gives a summary of the third quarter results.

    Source: International Business Machines earnings call slides

    Business Overview

    International Business Machines is one of the largest computer information companies in the United States and foreign countries.

    From Reuters:

    International Business Machines Corporation is a technology company. The Company operates through five segments: Cognitive Solutions, Global Business Services (GBS), Technology Services & Cloud Platforms, Systems, and Global Financing.

    The Cognitive Solutions segment delivers a spectrum of capabilities, from descriptive, predictive and prescriptive analytics to cognitive systems. Global Business Services

    The GBS segment provides clients with consulting, application management services and global process services.

    The Technology Services & Cloud Platforms segment provides information technology (IT) infrastructure services. It delivers a portfolio of cloud, project-based, outsourcing and other managed services focused on clients' enterprise IT infrastructure environments.

    The Systems segment provides clients with infrastructure technologies. It offers a range of systems designed to address computing capacity, security and performance needs of businesses, hyperscale cloud service providers and scientific computing organizations.

    The Global Financing segment includes client financing, commercial financing, and remanufacturing and remarketing. Its client financing offers lease, installment payment plan and loan financing to end users and internal clients."

    Overall International Business Machines is a slow-growing business with 5% CAGR projected growth as the worldwide economy grows going forward with the increasing demand for more computer processing. The fair earnings and revenue growth provides International Business Machines the capability to continue its slow growth as the business increases by foreign expansion.

    The graphic below shows the growth for the last quarter by geographic area.

    Source: International Business Machines earnings call slides

    The Fed has kept interest rates low for some years, and on September 26 they raised the base rate 0.25%, which was expected. I believe that they will not raise the rates anymore this year, but will go slow the rest of 2018, which should help keep the economy on a growth path. If infrastructure spending can be increased, this will even increase the United States growth going forward with better economics for the consumer. The recent downdraft in the market may slow down the Fed as they see the reaction to what they have done.

    From July 18, 2018, earnings release Jim Kavanaugh (Senior Vice President and Chief Financial Officer) said:

    In the second quarter, we delivered $20 billion of revenue, $3.4 billion of operating pretax income and $3.08 of operating earnings per share. Overall, it was a good quarter. We grew revenue, operating gross profit, pretax income, and earnings per share with strong pretax margin performance. Our revenue was up 4% as reported with growth in all four of our major segments and our constant currency revenue growth was 2%. This is our best constant currency growth in seven years. And our pretax income was up 11%, reflecting good operating leverage on that revenue growth.

    Looking at our performance at constant currency. The revenue trajectory improved in both services segments, and both returned to modest growth. This is important to our overall revenue growth profile as services represents about 60% of our revenue on an annual basis. In Cognitive, we had good performance in analytics and in our industry verticals, driven by financial services, and IoT. Growth was mitigated by the same three areas I told you about on our last call as we continue to focus on repositioning these offerings. And we had strong performance and gained share in our Systems business, which was up over 20% with growth across all three hardware platforms.

    Across our segments, we had continue momentum in our strategic imperatives revenue. Over the last 12 months, our strategic imperatives revenue has grown to $39 billion, which represents 48% of IBM's revenue. And within that, cloud is now $18.5 billion. Our strategic imperatives revenue in the quarter was up 15% and accelerated to 13% at constant currency. Revenue performance this quarter was led by security and cloud. Security was up about 80% this quarter, driven by strong demand for the pervasive encryption of IBM Z and growth in our integrated software and services business. Cloud revenue was up 20% or 18% at constant currency, driven by our as-a-Service offerings. We’re exiting the second quarter within as-a-Service annual run rate of over $11 billion, which is up about 25%. This reflects our success in helping enterprise clients with their journey to the cloud, and we’re becoming the destination for mission-critical workloads in hybrid environments. We’re capturing this high-value growth with our unique differentiation of the innovative technology combined with deep industry expertise underpinned with trust and security, all through our integrated model.

    This shows the feelings of top management for the continued growth of the International Business Machines business and shareholder return with an increase in future growth. International Business Machines has slow constant growth and has the potential to grow as the world economy grows to need more software tools and processors.

    The graphic below shows the summary going forward for 2018.

    Source: International Business Machines earnings call slides

    Takeaways

    International Business Machines is a poor investment choice for the total return investor with its below-average total return. International Business Machines will not be considered for The Good Business Portfolio, but I will be watching for future growth. It’s my opinion that International Business Machines should be avoided because of its slow growth and poor total return.

    Recent Portfolio Changes

    I intend to watch the earnings reports for the companies in the portfolio and may finally decide to trim my high flyers that are over 8% of the portfolio so I can invest in good companies on my buy list.

  • On October 10 trimmed Home Depot (HD) from 10.1% of the portfolio to 9.6%. I love HD but don’t want it to get above 10% of the portfolio.
  • On October 10 added starter position of VISA (V) at 0.4% of the portfolio.
  • On August 22 increased the percentage of DLR to 3.3% of the portfolio, I want to get this REIT to a full position of 4%.
  • On August 15 sold all remaining Amerisource Bergen (ABC) in the portfolio.
  • On August 9 reduced Amerisource Bergen(ABC) to 0.4% of the portfolio. I will most likely sell the remainder of ABC next week. The company margin is very thin, and I don't like the present pressure of the opioid crisis. The risk has gotten too high versus the reward.
  • On July 12 bought a small starter position (0.1% of the portfolio) in Simulation Plus (SLP) a small software company that helps test/simulate new drugs before they are released. SLP is a very speculative investment and should be watched carefully.
  • On June 20 closed out covered calls and sold KHC position, I needed some cash. I got a better price using the calls but missed some of the recent gains.
  • On June 8 sold KHC July 57.5 calls against the position and will make 4% if the KHC price remains the same. The calls are now in the money, and I may move them up and out when the time value is small.
  • On May 14, I trimmed the position of Eaton Vance Enhanced Equity Income Fund II (EOS) from 9.2% of the portfolio to 8.9%. I still like EOS and don't want to overweight this fund which is high in technology companies.
  • On March 29 increased position of American Tower (AMT) to 0.8% of the portfolio; I will continue adding to this position as cash is available.
  • On March 29 sold entire position of L Brands (LB); it does not look good for the company going forward.
  • The Good Business Portfolio trims a position when it gets above 8% of the portfolio. The four top companies in the portfolio are: Johnson & Johnson (JNJ) is 8.1% of the portfolio, Eaton Vance Enhanced Equity Income Fund II (EOS) is 8.1% of the portfolio, Home Depot is 9.6% of the portfolio and Boeing (BA) is 13.7% of the portfolio. Therefore BA, EOS, JNJ, and Home Depot are now in trim position, but I am letting them run a bit since they are great companies.

    Boeing is going to be pressed to 14% of the portfolio because of it being cash positive on 787 deferred plane costs at $316 Million in the first quarter of 2017, an increase from the fourth quarter. The second quarter saw deferred costs on the 787 go down $530 Million a big jump from the first quarter. The second quarter of 2017 earnings was fantastic with Boeing beating the estimate by $0.25 at $2.55. The third quarter of 2017 earnings were $2.72, beating the expected by$0.06 with revenue increasing 1.7% over last year, another good report. The first quarter earnings for 2018 were unbelievable at $3.64 compared too expected at $2.64. Farnborough Air Show sales in dollar value just beat out Airbus by about $6 Billion, and both companies had a great number of orders. The second quarter earnings beat expectations by $0.06 at $3.33, but a good report was hurt by a write off expense on the KC-46 which should start delivery in October of 2018. Boeing recently got an order for 18 more KC-46A planes.

    JNJ will be pressed to 9% of the portfolio because it's so defensive in this post-BREXIT world. Earnings in the last quarter beat on the top and bottom line and Mr. Market did like it. JNJ has announced a dividend increase to $0.90/Qtr. which is 56 years in a row of increases. JNJ is not a trading stock but a hold forever; it is now a strong buy as the healthcare sector remains under pressure.

    For the total Good Business Portfolio, please see my article on The Good Business Portfolio: 2018 2nd Quarter Earnings and Performance Review for the complete portfolio list and performance. Become a real-time follower, and you will get each quarter's performance after the next earnings season is over.

    I have written individual articles on JNJ, EOS, GE, IR, MO, BA, PEP, PEP, PM, LB, Omega Health Investors, Digital Investors Trust (DLR) and Automatic Data Processing (ADP) that are in The Good Business Portfolio and other companies being evaluated by the portfolio. If you have an interest, please look for them on my list of previous articles.

    Of course, this is not a recommendation to buy or sell, and you should always do your own research and talk to your financial advisor before any purchase or sale. This is how I manage my IRA retirement account, and the opinions of the companies are my own.

    Disclosure: I am/we are long BA, JNJ, HD, OHI, MO, IR, DLR, GE, PM, LB, MMM, ADP, PEP, V.

    I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.


    Decentralized Logic: The World of Computing on the Blockchain | killexams.com real questions and Pass4sure dumps

    Many consider 1971 as the start of the digital age. This was the year the Intel 4004, the first commercially available microprocessor, was released. Despite the apple iPhone 4 having almost three times the amount of computing power as a supercomputer in 1985, the demand for computing power is humongous with many seeking to apply this computing power to fields which require large amounts of it such as artificial intelligence and prediction modelling (1). This is an industry ruled by large multinationals with Google, Amazon, Alibaba, Salesforce, IBM, and Microsoft offering cloud computing with users being able to pay on-demand for this computational power without investing in the large infrastructure requirements needed to generate it.

    This is a centi-billion dollar industry (2). With centralization comes risk. Companies using these services are completely exposed to this one single point of failure. They may also have privacy concerns with the organizations offering the cloud computing services having the most control and access.

    If the single point of failure were to go down, it could result in billions of economic losses across a variety of industries. With the introduction of the Bitcoin network around one decade ago, decentralized technology is believed by many to have the potential to disrupt some of the largest industries. We will examine in this post some of the largest players in the decentralized computing space and whether it has the potential to disrupt another largely centralized industry.

    Decentralized Computing:

    When it comes to decentralized computing, Ethereum has earned the first mention. With a vision of becoming a decentralized world computer, Ethereum started with an initial coin offering in 2014. The initial price for the ICO was 2000 Ether (the cryptocurrency to operate on the Ethereum network) per bitcoin funded (3). The ICO was met with scepticism in the cryptocurrency community to say the least as can be seen from the Bitcointalk graphic below. Today, Ether is the second largest cryptocurrency by market cap and is worth several hundred dollars.

    The client server model rules computing today and the world computer vision of Ethereum envisioned a decentralized computing model. Ethereum is a Turing complete virtual machine (VM).

    So how does the process work when it comes to computing? The Ethereum blockchain is programmable and can be programmed to do complex computations. Decentralized applications (DApps) can be developed on the blockchain and smart contracts can be coded.

    What is a smart contract? The term was coined by Nick Szabo in 1996 and is essentially a piece of code that executes when certain criteria are met. You can think of a smart contract as an agent of whoever deployed them and will act in the way coded. For example, once Jack submits details x, y, and z that meet requirements a, b, and c, then release a payment of €50 from personal account to Jack’s account.

    The Ethereum virtual machine (EVM) is isolated from the rest of the blockchain and is used to execute the contracts within the network. There are two types of accounts on Ethereum, externally owned accounts which are essentially users, and contract accounts which represent smart contracts. Ether is the cryptocurrency of the network. When Ether is sent to a contract account, the code within the smart contract is executed. Gas is the execution fee for a transaction on the network and is priced in a small amount of Ether. The result of every transaction gets stored on the Ethereum blockchain.

    What is Ethereum

    What’s the key difference between the Bitcoin and Ethereum network when it comes to computing. The difference lies at the programming language. Let’s say I want to programme a simple smart contract into the blockchain that says Jack pays Jill x amount if event y happens. The programming language for contracts in Bitcoin is Ivy-Lang and is extremely difficult to code this type of logic into, making it nearly impossible to describe complex transactions. Ethereum uses Turing-Complete programming language Solidity, and such a transaction as described above would be complete in just a few lines of code.

    However, there lies a problem at the core of computing on Ethereum. Although the vision has been set in place, decentralized technology is still in its early years and having decentralized technology involves a trade-off with safety and scalability. Ethereum developer Vlad Zamfir, whom many consider the lead behind Ethereum’s Proof-of-stake (PoS) Casper protocol, summarises the issue in a tweet posted in March 2017.

    At the crux of the computing issue is the fact that Ethereum can currently only process 15tps which will be unable to keep up with any significant demand for an application. Compare this to Visa’s 45,000tps and we get an idea of how miniscule this is (4). Any decentralized applications (DApps) built on top of Ethereum have limited computational power due to the limitations of the Ethereum VM.

    Taking into account these throughput limitations, what if computing power could be decentralized? What if there was a global marketplace of computing power for anyone to access? Golem aims to create this marketplace where you are monetarily incentivised to rent your CPU and GPU power. The project is developed by Imapp who are also the team which developed OmiseGo. Imapp specialise in distributed computing and technology.

    Golem proclaims itself a distributed supercomputer, tapping into unused computing power across it’s decentralized network resulting in increased speeds for computing tasks. Golem’s native token, GNT, is the cryptocurrency to use the network. If you have a computing task that needs to be complete and you use the golem network, it will find the computers suitable to complete the task and they will be rewarded in the Golem cryptocurrency.

    Software developers can also build DApps on top of the Golem protocol. The different participants and their incentives to participate are illustrated in the table below.

    Golem Ecosystem

    Computational tasks will be partitioned and spread to computers across the network, similar to data sharding, enabling faster computation. This is important as Golem is actually built on the Ethereum blockchain so if it were to bring on the throughput limitations of Ethereum, it would defeat the goal of fast computation.

    Golem network is also hardware agnostic, meaning that computers don’t require any special hardware to be part of the network. This enables a free market and aims to also serve the goal of making the renting of computational power on the network more affordable when compared to the tech giants such as Google and Amazon. Prices will be determined by market demand and supply.

    The first application of Golem is CGI blender rendering. Computers renting their computational power will be paid for completing tasks relating to this. In the future, Golem plans to expand to more intensive computational tasks such as machine learning, natural language processing, and artificial intelligence.

    Software developers can also rent their software in the system. The whole ecosystem can be seen in the below diagram.

    Golem Ecosystem

    The Ethereum blockchain comes in as a payment settlement layer, and also for task initiation. Data is exchanged via a number of peer-to-peer protocols but the contract accounts on Ethereum mentioned above are used to initiate the tasks with smart contracts.

    A possibility for bad actors does come into play with Golem. When the tasks are partitioned and spread across the network, how can we be sure that the providers and software developers will execute the task correctly? As with all distributed technologies, a probabilistic solution is provided where the network participants are monetarily incentivised to act for the good of the network. These incentives are not implemented yet but are proposed to be in the form of a reputation system where GNT are staked with bad actors losing the deposited GNT along with the ability to accept new tasks.

    Currently, the Golem network is still in a very early stage with many of the proposed applications not yet implemented. The project has been ongoing for about two years and in will need to develop a market of both requestors and providers to really provide value and affordability. Golem is also exposed to a lot of risks. Any risks and scalability issues with the Ethereum blockchain are also inherent in Golem as GNT is currently an ERC20 token. The peer-to-peer networks Golem uses for data sharing is also a nascent technology and will exposes Golem to any of the challenges it might face as a new technology. One of the key benefits of decentralization, privacy, is not a feature with Golem’s computational subtasks. To take on the centralized superpowers of the present digital landscape, every benefit of decentralization will need to be leveraged to adopt users. Privacy is a feature which Golem plan to fix going in to the future.

    Another decentralized cloud computing marketplace is iExec. iExec focuses on providing computation power for DApps. iExec looks to leverage off-chain computation off of the Ethereum blockchain.

    At the moment, DApps mostly utilize the Ethereum blockchain for ICO sales and simple transactions but as DApps become more fully implemented, demand and computational requirements will increase.

    While Golem implements a technology similar to data sharding to make their computational marketplace feasible, iExec use off-chain computing. Off-chain computing takes computations off the main blockchain into a separate protocol to achieve higher throughput.

    Currently, the DApps on Ethereum are just capable of completing computational tasks which require simple transactional process. iExec looks to leverage off-chain computation to drastically increase these capabilities.

    Similar to Golem, iExec also envisions a decentralized marketplace where free market economics will lead to affordable pricing lower than its centralized counterparts. A reputation system will also be in place to incentivise those supplying computational power to be reliable. iExec’s native token, RLC, will be the cryptocurrency for the ecosystem.

    The ecosystem will focus on three areas. There will firstly be a DApp store, with Google Play Store and Apples App Store being the comparable centralized versions. The second part of the technology is the marketplace for computational resources, and the third is a marketplace for data.

    iExec will be using a consensus mechanism coined proof-of-contribution to determine who provided what computational resources and reward them accordingly. With this being an experimental consensus mechanism, it may represent one of iExec’s biggest challenges.

    Other challenges would include adopting enough users that the marketplace can be affordable and low-cost, and executing off-chain computation in a way which is secure. Along with the consensus mechanism, experimenting with off-chain computation is only in its beginning stages and its efficacy remains largely unproven.

    With these decentralized computational marketplaces being built on top of the Ethereum blockchain, does Bitcoin have any role to play? Similar to off-chain computation, side chains seek to overcome the limitations of the main blockchain by setting up a separate protocol which involves certain trade-offs. Built as a sidechain to Bitcoin, Rootstock is a Turing-complete VM for Bitcoin providing faster transactions and greater scalability.

    Similar to the drawbacks of iExec and Golem, Rootstock is experimenting with a new and unproven technology in side-chains, so it also brings on the risks inherent in this. Many consider the Bitcoin network as more secure than Ethereum so this can be seen as one advantage to Rootstock.

    The focus from the Rootstock team is clearly on security. While many projects publicise about increased throughput, Rootstock have security as their number one priority. In terms of scalability, Rootstock aims to reach the level of PayPal, at 100tps. This level of scalability can transform the Bitcoin network from a payment system into a system where you can fully deploy smart contracts and DApps.

    Side chains like the one being applied by Rootstock are also being leveraged by Lisk. Side chains are used to make it more attractive to build DApps on Lisk where the side chain can have the dynamic and customisable features suited specifically for your DApp. Each sidechain will be hosted on the main Lisk blockchain.

    By utilising the side chain technology, DApp can utilise increased computing power with greater throughput. In the Lisk ecosystem, the sidechains can be thought of as your DApps own personal blockchain that can be built to be the perfectly optimised for your DApp and its requirements.

    Lisk uses delegated PoS (dPoS) as a consensus mechanism where token holders vote for block producers who are responsible with validating transactions. dPoS is a largely unproven consensus system and there is a lot of question over its effective operation in Lisk with some questioning whether Lisk essentially picks and funds the candidates to be block producers.

    One advantage on Lisk is JavaScript can be can be used to program, which increase the number of developers that can build upon the platform. This is one attractive aspect when compared with Ethereum where developers have to learn Solidity specifically for building on the EVM.

    However, there are a lot of disadvantages to the Lisk technology. Firstly, it does not protect against non-deterministic behaviour. This means that an algorithm can produce different outputs on different runs for a given input. Ethereum apps have no possibility of generating non-deterministic behaviour.

    Lisk also does not have the ability to prevent infinite loops. This a piece of code which lacks an exit and repeats continuously. Lisk lacks the ability to measure total computation or measure memory consumption. It lacks the ability to prevent memory growth also.

    In a competitive environment where a lot of revolutionary teams are working morning to night to come up with innovative solutions to the problems decentralized technology is facing, it seems that Lisk is taking a step backward instead of forward due to its lacking features.

    Computing with a permissioned system:

    What about private blockchains and their role in computing? Some would argue that these are not a blockchain at all as having a blockchain where nodes have to gain permission completely defeats the purpose of decentralization.

    It may be better described as distributed ledger technology (DLT), a system where multiple nodes keep a copy of the ledger as opposed to a single entity as is the case in conventional data storage. Two DLT systems looking to make an impact on the computing space are IBM’s Hyperledger Fabric (Fabric) and R3’s Corda (Corda). Fabric is aiming to be a generic DLT where smart contracts can be applied whereas Corda has a specific focus on the financial services industry.

    Frankfurt School Blockchain Center

    Private blockchains have a completely different vision when it comes to computing applications. The system architecture is designed to prioritize throughput over decentralization.

    How these systems are designed to reach consensus is at the essence of the decentralization subject. Fabric has three types of nodes that have different roles known as clients, peers, and orderers. This is already vastly different from a public blockchain where all nodes have equal tasks. Clients receive messages from the end user and create transactions. Orderers act as the communication channel between clients and peers, with peers being responsible for maintaining the ledger. A subtype of the peer node, known as endorsers are responsible for ensuring transactions are valid. The consensus algorithm applied is known as practical byzantine fault tolerance (BFT). BFT is the ability of a distributed computing system such as a DLT to be able to function effectively and establish consensus despite some malicious parts.

    Smart contracts are used in the consensus system for Corda where the smart contracts check for transaction validity in the form of a signature and also for uniqueness (no two transactions can ever be the exact same as they will have different time stamps, or amounts or, senders, etc.). Smart contracts are known as chaincode within Fabric and can be coded in Go or Java. Smart contracts on Corda can be coded in Kotlin or Java and can also contain legal prose. This serves to root the code in relevant legal prose and makes it more applicable to the highly regulated environment of financial services.

    Fabric has designed their system architecture to be applicable to a number of industries whereas Corda is extensively focussed on the financial services industry. Similar to the way digital tokens can be created on the Ethereum network by deploying smart contracts with certain standards and rules, it is also possible to have a digital token on Fabric by deploying chaincode smart contracts in a certain way. This is not possible on Corda. There has been speculation that Corda will be integrated with Fabric going forward. Corda has been noted for a more straightforward and seamless user experience due to its focus on one industry.

    The computing element of Fabric and Corda essentially come down to whether entities consider these DLT’s attractive to deploy their smart contracts. Smart contracts can be useful in many circumstances and the scalability issues of the Ethereum public blockchain are circumvented by having permissioned nodes. Many would argue that this involves an unacceptable trade-off with security and that it also completely defeats the purpose of decentralization. There are points to this argument, but Fabric and Corda have been adopted by customers which show there are cases where it is providing value. In terms of security issues, if the system is flawed, time will reveal its weaknesses.

    Computing with a Consensus Mechanism System:

    We have seen that different blockchains and DLT’s are designed with varying focuses and values. Some are designed to optimise for speed while others are designed to ensure maximum security and decentralization. Interoperability of different blockchains is looking to be an important area going forward but the question remains that if blockchains have some key limitations in terms of scalability, how will the powering of a network of blockchains be able to function any better.

    Cosmos is a decentralized network of parallel blockchains. The network is organized into hubs and zones. The zones plug in to a central hub and each zone maintains its own governance.

    Cosmos Zones & Hubs

    Cosmos is powered by Tendermint which is middleware designed to provide the network and consensus layers in a blockchain system. Similar to Fabric, Tendermint uses a BFT consensus algorithm. The simplified architecture for a blockchain system consists of a network layer of peer to peer nodes, a consensus layer, and an application layer.

    In terms of creating own applications, Tendermint makes the process a lot easier and attractive to developers. To create an Ethereum DApp, developers would have to both learn solidarity to do it and also conform to the standards of the EVM. Tendermint core enables developers to create their own applications on any sort of deterministic state machine (i.e. does not have to conform to the standards of the EVM), and developers can then run it on top of tendermint core which handles both the network and consensus layers. Tendermint core interacts with your application through the application blockchain interface (ABCI).

    Tendermint has evolved to a point where it can be used as a general consensus engine for the state machines of other blockchains. You can take state machines that are built on top of other consensus algorithms and place them on top of Tendermint core. The EVM on top of Tendermint core is one example, known as Ethermint.

    There are many advantages to Tendermint in terms of computing. It can be used for both private and public blockchains. In the public chain, it will use PoS while in a private system, it will use permissioned nodes. It has instant finality with nodes preferring consistency over availability. This means the chain will never fork. It enables developers to create DApps in any programming language as it separates the consensus and network layer of the blockchain from the application layer. Due to this separation, it is important to note that the development work needs to be deterministic meaning that all nodes calculate the exact same next state given a set of inputs or transactions.

    The main difference with the standard PoS and the Tendermint PoS is there are a number of ways that block producers committed stakes can get slashed further incentivising good behaviour and effective operating of the network. When you forge fake transactions or do not participate in the building of new blocks, nodes will get their stake slashed. This also solves the nothing-at-stake problem which is a key criticism of the standard PoS consensus mechanism. The nothing-at-stake problem is rooted in the issue that validators in traditional PoS are incentivised to build on all chains as they are rewarded for validating and are at no risk of being slashed unless they act maliciously.

    The main drawback is the security of the network with the Tendermint only being able to tolerate 33% of bad actors in the network. Many blockchain professionals would not consider this a secure network. PoS is also still an early consensus mechanism system and has yet to be proven on a wide scale. However, the slashing of stakes is likely to improve it as a consensus algorithm and these incentives are looking to be implemented by Ethereum’s Casper protocol when it is implemented.

    Decentralized Computing Going Forward:

    Cloud computing is another industry dominated by the centralized technology superpowers. It is a centi-billion dollar industry providing valuable computing resources to companies, saving them the large infrastructure investments. Decentralized cloud computing proposes a model whereby users can rent cloud computing power from users across the network.

    To compete with the centralized superpowers, the innovators will need to find a way to fully leverage the benefits of decentralized technology. Affordability could be a strong benefit to using decentralized computing, but this will require mass adoption which has not been achieved so far.

    Computation will have to far surpass the limitations of the EVM. To achieve this so far has required a trade-off with security and decentralization. With the goal being to leverage the benefits of decentralization, the technology will need to keep being experimented with until these trade-offs become verifiably miniscule or non-existent.



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