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MB5-626 C5 4.0 Programming

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MB5-626 exam Dumps Source : C5 4.0 Programming

Test Code : MB5-626
Test title : C5 4.0 Programming
Vendor title : Microsoft
braindumps : 99 existent Questions

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Microsoft C5 4.0 Programming

MWC: Microsoft’s HoloLens 2, Qualcomm’s robotics platform and McAfee’s IoT vulnerabilities | killexams.com existent Questions and Pass4sure dumps

MWC Barcelona, formerly known as cellular World Congress, is in full waver this week with fresh improvements and announcements for the mobile area.

Microsoft used the smack to exhibit its newest combined verity device. The Microsoft HoloLens 2 has been enhanced for immersion, console and time-to-cost. “we are getting into a fresh era of computing, one in which the digital world goes past two-dimensional screens and enters the third-dimensional world. This fresh collaborative computing era will empower us impeccable to achieve greater, smash boundaries and drudgery in conjunction with stronger ease and immediacy in 3D,” Julia White, company vice chairman for Microsoft Azure, wrote in a submit.

For immersion, the enterprise has worked to augment the visual disclose gadget for a greater shiny and practical suppose, and has more than doubled the territory of view. For comfort, the HoloLens 2 aspects a light carbon-fiber cloth and fresh mechanism for re-adjusting. in addition, a brand fresh companion ecosystem is accelerating time-to-value.

Microsoft has too announced its combined reality ecosystem will purchase an open mode — that means it will comprise open outlets, open browsers and open developer platforms. As a fraction of this announcement, Mozilla has revealed Firefox fact will subsist coming to the machine. “Our mixed fact program at Mozilla is concentrated on bringing the top of the line browsers, functions, and apparatus for builders to ensure that users believe a secure, deepest smack with open, purchasable technology. Alongside their laptop and standalone VR browser efforts, this prototype of Firefox verity for HoloLens 2 will fabricate positive that the immersive web works for impeccable clients, regardless of machine they're on,” Mozilla’s director of engineering for coalesce verity Lars Bergstrom, wrote in a publish.

Mozilla will drudgery with the Rust programming team to fabricate this a verity and supply a runtime capable of providing a snug event.

different announcements from the conference covered:

Qualcomm’s Robotics RB3 PlatformQualcomm added the company’s first platform focused entirely on the robotics industry. The Qualcomm Robotics RB3 is designed for manufacturers in addition to developers constructing the subsequent generation of client, commercial enterprise and industrial robots.

“With the Qualcomm Robotics RB3 Platform, they goal to carry their slicing-facet AI, fraction compute and connectivity technologies into the arms of many extra robotics innovators to attend spur the quickly pile and commercialization of a brand fresh technology of valuable and knowing robots in agriculture, purchaser, beginning, inspection, service, sensible manufacturing/industry four.0, warehousing and logistics, and different functions,” said Dev Singh, director of enterprise progress and head of self enough robotics, drones and knowing machines and Qualcomm.

The platform elements pile board offerings for prototyping, system-on-module options, chip-on-board designs, and assist for Linux and ROS. other technical aspects encompass a heterogeneous computing architecture, Qualcomm AI engine, digital camera and eye at, advanced protection capabilities, sensor and microphone assist and connectivity guide.

McAfee find fresh IoT vulnerabilitiesMcAfee researchers uncovered two fresh vulnerabilities creating hazards for connected instruments. in accordance with the researchers, these bugs might supply hackers entry into purchaser’s personal lives. The vulnerabilities covered one in the BoxLock sensible padlock, which may allow hackers to free up the device within seconds; and one in the Mr. espresso company espresso maker that might provide hackers access to home networks.

“Cybercriminals are relentless, and as long as they continue to combine devices to the web, they'll continue to depart looking for ways to exploit them,” referred to Raj Samani, McAfee fellow and chief scientist. “Vulnerability disclosures can too subsist frightening for each the patrons the exhaust of connected contraptions and the companies that create them, youngsters, the mode is a vital fraction of making a safer future. Cybersecurity researchers, companies, and patrons working together to expose and liquidate these vulnerabilities maintains us impeccable a step ahead of the unhealthy guys.”

moreover, the company unveiled its mobile danger file, which establish a 550 % augment in client safety hazards when it comes to spurious and malicious apps. greater information is purchasable right here.

Afilias tackles counterfeit mobile devicesAfilias introduced a fresh solution designed to tackle problems led to via counterfeit devices. DeviceAssure goals to give monetary functions providers, traffic protection companies, executive organizations, and app-enabled service provides the apparatus to examine the authenticity of a cell equipment. in keeping with the company, counterfeit instruments are sometimes associated with cyber crimes akin to malware, ransomware, keylogging and statistics theft.

SAP Leonardo IoT introducedSAP introduced a fresh information superhighway of things solution centered at digital transformation for Industrial IoT and industry four.0. according to the company, SAP Leonardo will attend convey IoT information together with traffic procedures to enhance productivity, redefine consumer event and develop earnings streams. additionally, it's going to permit IoT in line-of-business solutions.

“With the launch of SAP Leonardo IoT, SAP solidifies its dedication to the IoT, and in specific Industrial IoT. The combination of IoT and their depth and breadth of high-price traffic and application potential helps valued clientele gain more advantageous traffic cost and a stronger aggressive skills,” spoke of Elvira Wallis, senior vp and global head of IoT at SAP.

SAP will present three paths to IoT innovation: combining IoT information for IoT-embedded enterprise apps, extending current SAP IoT apps, and constructing fresh perspicacious IoT options.


C5 insight added to Microsoft's company captious SharePoint (BCSP) software | killexams.com existent Questions and Pass4sure dumps

November 06, 2013 11:23 ET | source: C5 insight

CHARLOTTE, N.C., Nov. 6, 2013 (GLOBE NEWSWIRE) -- C5 insight, a expertise consulting enterprise that focuses on customizing and enforcing CRM and traffic collaboration options, has been selected as a associate for Microsoft's company requisite SharePoint (BCSP) software.

Microsoft launched BCSP just over three hundred and sixty five days ago to combine elite techniques Integrators with SharePoint clients requiring assistance in Line-of-business statistics, risk, compliance, company intelligence and analytics. The program at present aspects simplest one zero one companions global.

"As a fraction of this program, Microsoft has given C5 perception large entry to handicap and training materials designed to back their customers roll out enterprise vital processes in SharePoint," says Geoff Ables, Managing ally for C5 insight. "The corporations that we're working with are experiencing stronger innovation, superior employee efficiency and leap forward potential to collaborate with consumers and partners via SharePoint portals, search and traffic analytics."

Many corporations stumble upon incomplete SharePoint roll-out or unsuccessful day by day exhaust due to limited customization to align with company tactics, interior attend and practising. IT, Operations, and Executives are now turning to constructive elements similar to C5 insight for task rescue, enhancements and overhauls besides initial implementation. Curtis Hughes, Managing companion for C5 insight, stated, "We nevertheless accept as ethical with that smack is the most useful trainer, and believe been enforcing solutions on the SharePoint platform for over 12 years. Books, practicing and certifications are impeccable notable things, however no unique merchandise has allowed us so as to add greater value for their valued clientele than their extensive smack and center of attention in being able to lead them via advanced projects."

About C5 insight: C5 perception (www.c5insight.com) is a technology consulting arduous primarily based in Charlotte, N.C., that can provide imaginitive enterprise options constructed on proven customer relationship administration (CRM), collaboration and content material administration structures. The company is a Microsoft Gold-certified companion for Dynamics CRM and SharePoint, and holds extra certifications in Salesforce.com, Informatica, Scribe, Azure, .internet, SQL Server, and different choicest-of-breed technologies and methodologies.

Alison Kendrick C5 perception (704) 895-2500 www.c5insight.com

Charlotte, North Carolina, united states

  http://www.c5insight.com

Alison Kendrick C5 perception (704) 895-2500 www.c5insight.com C5 Insight Logo

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Microsoft Introduces company ready Licensing and traffic ready Enhancement blueprint for Microsoft Dynamics | killexams.com existent Questions and Pass4sure dumps

REDMOND, Wash. — July 10, 2006 — Microsoft Corp. nowadays announced the traffic capable Licensing mannequin and the company ready Enhancement blueprint for Microsoft Dynamics™ that introduces simplifications and enhancements in expense to the licensing and maintenance classes for its Microsoft Dynamics enterprise management solutions.

company equipped Licensing streamlines pricing for Microsoft Dynamics options — Microsoft Dynamics AX, Microsoft Dynamics GP, Microsoft Dynamics NAV and Microsoft Dynamics SL — by way of relocating from a pricing mannequin according to a all bunch of modules and granules to a brand fresh model based primarily on the number of concurrent users who in reality exhaust the utility. This fresh model has three basic choices: Microsoft Dynamics traffic essentials, Microsoft Dynamics superior administration and Microsoft Dynamics superior administration commercial enterprise. they are based essentially on common performance and signify a value discount for a typical entry-degree configuration, casting off tons of the complexity of licensing traffic resource planning utility. Designed to enhance expense for purchasers through the life of their product answer, the brand fresh Enhancement blueprint represents a worldwide renovation application for Microsoft Dynamics solutions and introduces fresh merits comparable to transition investment credits, limitless online training courses for clients, and supplies to combine valued clientele with the Microsoft Dynamics group.

business able Licensing and Enhancement blueprint supply valued clientele with a compelling technique to enhance the cost of their investments in Microsoft® expertise, decrease the entry barrier to Microsoft Dynamics solutions, augment consumer productiveness and evolve with the lifetime of their business, featuring increased self credence in their option and enabling them to understand the total abilities of their Microsoft Dynamics solution.

“business ready Licensing and Enhancement blueprint enable us to bring extra cost to their shoppers while streamlining their offerings,” observed Tami Reller, company vice president of the traffic solutions advertising group at Microsoft. “These fresh programs additional enhance an business-main music record of offering solutions for the individuals-able company and their persisted commitment to supply companions and purchasers accelerated expense and flexibility to meet their particular company needs.”

Maximizing the cost of investment in Microsoft technology

Microsoft Dynamics trade partners are excited about the introduction of enterprise equipped Licensing because they're going to capitalize through a discount in pre- and submit-revenue administrative efforts linked to the complexity of maintaining and promoting discrete product modules. it'll allow them to obligate greater income volume through a clear and simplified customer journey.

“clients want less complexity and a licensing application this is fundamental and transparent and provides them more cost for their money,” observed Cornelis Bosch, vp of enterprise progress at To-increase, a Microsoft Dynamics traffic associate. “enterprise competent Licensing offers the arrogate stability between simplicity and flexibility by using offering customers a really clear and transparent pricing model that now not most effective simplifies their buy option but too lowers the entry barrier for them to opt for the revise traffic reply for their particular wants.”

customers will additionally capitalize from elevated functionality and simplicity supplied through company capable Licensing via its fresh packaging that comprises here:

  • Microsoft Dynamics company necessities edition. This offering is an integrated, potent monetary and provide chain administration reply it's designed for companies that want a core economic administration and trade solution in an trouble to allow them to quite simply scale as their enterprise grows.

  • Microsoft Dynamics superior management edition. advanced administration edition is the favorite solution for growing consumers who want complicated, particularly useful financial and accounting courses and who are seeking an adaptive solution to manage advanced strategies for their financials, give chain administration, manufacturing and project accounting wants. It too helps them harvest the key company intelligence and reporting required to manage their corporation.

  • Microsoft Dynamics superior administration commercial enterprise. For groups with complicated wants, superior management enterprise extends the advanced administration edition by way of presenting a rich set of superior provide chain administration, territory carrier, configuration, manufacturing and pile capabilities on a flat-charge groundwork.

  • furthermore, Microsoft Dynamics CRM consumer relationship administration performance should subsist blanketed on the Microsoft enterprise solutions cost lists over the subsequent twelve months, rise with Microsoft Dynamics GP.

    business competent Licensing is focused on fresh shoppers. customers no longer licensed beneath traffic equipped Licensing nowadays may believe the option to live on their current licensing model (modular-based licensing) or fabricate the transition to company in a position Licensing when it makes feel for them.

    more desirable productiveness and aplomb in choice

    the brand fresh Enhancement blueprint announced nowadays presents consumers the cost they are seeking in their protection funding. This fresh blueprint is designed to fabricate positive that purchasers are assured in their option each step of how as they plan, set up, use, hold and better their Microsoft Dynamics options. the fresh blueprint may subsist delivered globally to back valued clientele win the most from their Microsoft Dynamics options and meet the changing needs of their enterprise. in addition to a set of worldwide constant benefits and guidelines, Microsoft is providing fresh merits to impeccable Microsoft Dynamics valued clientele which are latest on their maintenance plan:

  • unlimited online practising merits. These fresh benefits may subsist accessible for impeccable customers enrolled within the Enhancement Plan, obtainable globally:

  • E-courses. exact ideas on positive subject areas akin to product modules. skills acquired is similar to that offered in lecture rooms.

  • Courseware/working towards manuals. will too subsist used as a examine device or a computing device reference.

  • Courseware extensions. Addenda obtainable for chosen courseware titles, featuring content material on aboriginal performance within a given country.

  • “What’s New?” practising manuals/courseware. practicing on the ameliorations in features and functionality between product versions.

  • learning plans. highway maps that back individuals conveniently find the practicing they want and outline every working towards and certification option available for each and every module.

  • Transition investment credit. This fresh handicap for valued clientele using Microsoft Dynamics AX, Microsoft Dynamics GP, Microsoft Dynamics NAV and Microsoft Dynamics SL allows purchasers to ensue 100 percent of their Microsoft Dynamics license funding towards the circulation from one Microsoft Dynamics product code basis to an additional or further from one package degree to yet another (similar to from ordinary to skilled) inside a product household. This handicap gives consumers the extra aplomb that their investment in Microsoft Dynamics will tarry at ease as their enterprise wants evolve.

  • Microsoft Dynamics CustomerSource group and equipment. Microsoft Dynamics will extend its award-winning web web page to impeccable Microsoft Dynamics consumers globally who enroll within the Enhancement Plan, with further center of attention on localized content and languages. CustomerSource presents product and repair content material positive to the customer’s account, a searchable capabilities base, downloads, discussion boards, on-line training, intelligence and other aspects, giving shoppers the tools they exigency to win extra from their Microsoft Dynamics solution.

  • Pricing and Availability

    enterprise able Licensing blueprint is accessible for Microsoft Dynamics GP, Microsoft Dynamics AX, Microsoft Dynamics NAV and Microsoft Dynamics SL and may subsist accessible to buy international Aug. 1, 2006. The expense for Microsoft Dynamics company essentials will birth at $2,250 (U.S.).*

    company capable Enhancement blueprint is accessible for Microsoft Dynamics GP, Microsoft Dynamics AX, Microsoft Dynamics NAV, Microsoft Dynamics SL and Microsoft C5. customers will launch to recognize one of the merits of the fresh Enhancement blueprint with the liberate of company equipped Licensing — and will proceed to peer the further merits added over the subsequent six to nine months. additional information on traffic equipped Licensing and Enhancement blueprint will too subsist discovered at http://www.microsoft.com/dynamics/purchase/pricing.mspx.

    About Microsoft Dynamics

    Microsoft Dynamics is a line of financial, customer relationship and supply chain administration options that helps corporations drudgery extra readily. Delivered through a network of channel partners proposing really first-rate services, these built-in, adaptable enterprise management options drudgery enjoy and with natural Microsoft software to streamline processes across a all company.

    About Microsoft

    founded in 1975, Microsoft (Nasdaq “MSFT”) is the international chief in application, services and solutions that attend people and companies realize their full capabilities.

    observe to editors: in case you are interested in viewing additional info on Microsoft, gladden contend with the Microsoft internet web page at http://www.microsoft.com/presspass on Microsoft’s corporate suggestions pages. web links, telephone numbers and titles had been proper at time of publication, however may too when you deem that believe modified. For further guidance, journalists and analysts may additionally contact Microsoft’s speedy Response team or different applicable contacts listed at http://www.microsoft.com/presspass/contactpr.mspx.


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    C5 4.0 Programming

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    Algorithm of the Week: Generate Music Algorithmically | killexams.com existent questions and Pass4sure dumps

    What is a Markov Chain?

    The algorithm of the week is a Markov Chain. Using this technique you leverage a Little bit of probability to achieve some light machine learning. In this case, input a song and believe the computer create an original drudgery based off the patterns you’ve taught it.

    I’ve attached a sample song. Give it a listen. I deem you’ll subsist fairly surprised that that’s a completely computer generated song. Only somewhat… it’s not very good, but it definitely isn’t predictable and yet isn’t hubbub either.

    Click here to open the illustration as a .wav file

    How’d You achieve That?!

    There’s a fairly simple computer science technique known as a “Markov Chain”. Don’t let the all reference to computer science fool you, it’s really not tough to grasp. Basically I created a table of numbers that answers the following question: When note X was played what percentage of the time were the other notes played next? So just imagine a table with impeccable of the notes from a to g# laid out on top (these are the notes that they eventual played) and vertical axis is impeccable of the same notes but this axis represents the probability that that particular note was played next.

    Here’s a sample of what my program generates:   

    a a# b c c# d d# e f f# g g# a [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], a# [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], b [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], c [0, 0, 0, 6, 0, 1, 0, 0, 0, 0, 2, 0], c# [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], d [0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 0], d# [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], e [0, 0, 0, 1, 0, 2, 0, 3, 1, 0, 0, 0], e# [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0], f [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], f# [0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0], g [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], g# [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]

    This is called an “adjancency list”. I’ve populated it with the music to Twinkle Twinkle. Let’s reply a question using it. How often does playing a C note lead to us playing another C note?

    First they eye up C on the left column and ensue the row to the column labeled C. They win the reply 6. In order to pattern out how often they play C given that they just played C though they exigency to know how many times they played a C note first. Adding up impeccable of the values in the row gets us 9. So 6/9’s of the time (or 2/3) playing a C note will lead to us playing another C note.

    Here’s the timings table (1, 1/2, 1/4, 1/8, 1/16 notes): 

    1 2 4 8 16 1 [0, 0, 0, 0, 0], 2 [0, 0, 0, 1, 0], 4 [0, 0, 3, 5, 0], 8 [0, 2, 4, 11, 0], 16 [0, 0, 0, 0, 0]

    But that’s it, that’s the magic that drives the all process. As you can see, I’m actually not storing percentages but instead just the matter of the number of times a note led to a different note. It works out to subsist the same thing in the end.

    Code

    Of course they exigency to contemplate some code! As usual, I’ll start with the highest smooth and drill into it in more detail.

    This portion of the code records the notes for “Twinkle, Twinkle” into the music learner I create. Then I bid it to give me 100 notes based on what it’s learned:

    class MusicMatrix: def __init__(self): self._previous_note = None self._markov = MarkovBuilder(["a", "a#", "b", "c", "c#", "d", "d#", "e", "f", "f#", "g", "g#"]) self._timings = MarkovBuilder([1, 2, 4, 8, 16]) def add(self, to_note): """Add a path from a note to another note. Re-adding a path between notes will augment the associated weight.""" if(self._previous_note is None): self._previous_note = to_note return from_note = self._previous_note self._markov.add(from_note[0], to_note[0]) self._timings.add(from_note[1], to_note[1]) self._previous_note = to_note def next_note(self, from_note): return [self._markov.next_value(from_note[0]), self._timings.next_value(from_note[1])] # Playing it comes next :) #test = [['c',4], ['e',4], ['g',4], ['c5',1]] #pysynth.make_wav(test, fn = "test.wav") musicLearner = MusicMatrix() # Input the melody of Row, Row, Row Your Boat # The MusicMatrix will automatically exhaust this to # model their own song after it. musicLearner.add(["c", 4]) musicLearner.add(["c", 4]) musicLearner.add(["c", 4]) musicLearner.add(["d", 8]) musicLearner.add(["e", 4]) musicLearner.add(["e", 4]) musicLearner.add(["d", 8]) musicLearner.add(["e", 4]) musicLearner.add(["f", 8]) musicLearner.add(["g", 2]) musicLearner.add(["c", 8]) musicLearner.add(["c", 8]) musicLearner.add(["c", 8]) musicLearner.add(["g", 8]) musicLearner.add(["g", 8]) musicLearner.add(["g", 8]) musicLearner.add(["e", 8]) musicLearner.add(["e", 8]) musicLearner.add(["e", 8]) musicLearner.add(["c", 8]) musicLearner.add(["c", 8]) musicLearner.add(["c", 8]) musicLearner.add(["g", 4]) musicLearner.add(["f", 8]) musicLearner.add(["e", 4]) musicLearner.add(["d", 8]) musicLearner.add(["c", 2]) random_score = [] current_note = ["c", 4] for i in range(0,100): print current_note[0] + ", " + str(current_note[1]) current_note = musicLearner.next_note(current_note) random_score.append(current_note) pysynth.make_wav(random_score, fn = "first_score.wav")

    The MarkovBuilder is where the algorithm is hiding. Notice how the MusicMatrix is keeping track of the previous note for us? The MarkovBuilder needs to subsist told explicitly which notes connect to which.

    import random class MarkovBuilder: def __init__(self, value_list): self._values_added = 0 self._reverse_value_lookup = value_list self._value_lookup = {} for i in range(0, len(value_list)): self._value_lookup[value_list[i]] = i # Initialize their adjacency matrix with the initial # probabilities for note transitions. self._matrix=[[0 for x in range(0,len(value_list))] for i in range(0,len(value_list))] def add(self, from_value, to_value): """Add a path from a note to another note. Re-adding a path between notes will augment the associated weight.""" value = self._value_lookup self._matrix[value[from_value]][value[to_value]] += 1 self._values_added = self._values_added + 1 def next_value(self, from_value): value = self._value_lookup[from_value] value_counts = self._matrix[value] value_index = self.randomly_choose(value_counts) if(value_index < 0): raise RuntimeError, "Non-existent value selected." else: return self._reverse_value_lookup[value_index] def randomly_choose(self, choice_counts): """Given an array of counts, returns the index that was randomly chosen""" counted_sum = 0 count_sum = sum(choice_counts) selected_count = random.randrange(1, count_sum + 1) for index in range(0, len(choice_counts)): counted_sum += choice_counts[index] if(counted_sum >= selected_count): return index raise RuntimeError, "Impossible value selection made. BAD!"

    Again this class’s sole understanding to exist is to track how one value they give it leads to another, and it facilitates picking values to give us that are informed by what has happened in the past. It’s requisite to note that they don’t just pick the value that occurred the most. If they did that it would fabricate their program much less interesting. Instead they exhaust the “randomly_choose” role to select a next value in a weighted manner (very similar to Bayes Theorem for those of you wondering).

    Grok’d

    So to summarize, my program was able to generate the music because I fed it a sample musical score and it figured out what percentage of the time a c note led to another note. Here’s a step by step Run through:

  • Give program a note and a timing. - When I give it a second note/timing it notes in it’s table that the first note led to the 2nd note one time. It too notes that the first timing led to this 2nd timing one time. (note I don’t attempt to relate notes/timings, it’s not requisite surprisingly).
  • Enter a third note. - The program then notes in its table that the 2nd note led to the 3rd note one time. - Continue ad inifinitum So that’s how they set the system up. Next this is how they win the program to near up with its own song:
  • Choose some random note/timing to start. - question the computer to intimate what a first-rate note/timing would subsist to ensue those. - print out the note/timing (in case it’s a drudgery of genius ;)
  • play each note using the python library I’m using, pysynth.
  • Here’s a link to my git repo with impeccable of my Python code: http://github.com/jcbozonier/MarkovMusic/tree/master

    That’s impeccable for now!

    Disclaimer: The opinions expressed here depict my own and not those of my employer.


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  • Program test analysis and technical advice on EOSIO | killexams.com existent questions and Pass4sure dumps

    Abstract

    Huobi Research conducted a research and analysis of the Dawn 3.0 version of EOSIO through evaluating its platform performance in multiple scenarios.

    Based on their test conditions (AWS servers in LAN environment), EOSIO can gain 1900 TPS at its best performance. There is a discrepancy between their result and the mediocre TPS (3000), optimal TPS (6000), and theoretically optimal TPS (8000) result in the Dawn 3.0 documentation, but the worst performance of 1000 TPS described in the document can subsist stably reached.

    Along with increasing server configuration, the maximum TPS of the system will too increase. At the same time, if the conditions allow, augment server resources of the super node (Block Producer) obtains better overall performance. Therefore, in the main network environment, they recommend using servers with the highest possible configuration.

    Decentralized deployment can result in an adverse effect on performance. Since the current EOSIO program code does not back multi-threading, only a unique -core of CPUs can subsist utilized, so parallel computing cannot subsist used to better efficiency. In this situation, decentralized deployments, especially adding super-nodes, achieve not enhance performance for alleviating unique server pressure . Instead, they augment CPU overhead and may believe a negative impact on TPS.

    Reasonable exhaust of JIT will enhance performance. This mode can reduce the CPU usage and augment TPS to a positive extent, but its impact on stability is too noticeable.

    1. Foreword

    Currently EOS super-node thrust is rolling full stream. According to statistics, as of May 2, there are 102 dynamic bidding organizations . At the same time, block.one released EOSIO’s Dawn 3.0 version in April and plans to depart live on main network in June.

    Earlier, numbers of communities believe set up test networks and tested EOSIO performances, especially on number of transactions per second (TPS). However, TPS performance is subject to many conditions such as compiler parameters, server hardware, operating systems, and networks. The test results revealed more of the “theoretical fuel consumption” under laboratory conditions (reference: https://steemit.com/cn/@eoseoul/bmt-eosio-tps-by-eoseoul-block-one-jit).

    Unlike many of the previous tests, the research and analysis conducted by us Huobi Research does not focus on whether EOSIO can achieve the 1M TPS declared by Dan Larimer’s team. Instead, they dissect their observations of the performance indicators of Dawn 3.0 under different conditions to pose ideas and suggestions for future main network architecture and server configuration. Huobi Research will publish ensue up study if fresh versions such as Dawn 4.0 is released.

    It should too subsist famed that the indicator data obtained from this particular test is not and should not subsist regarded as proof or confirmation of the final performance result of the EOSIO platform or project. Hereby declare.

    2. Main Conclusions

    After analyzing their test results, they obtained and proposed the following main conclusions and technical advices:

    l Based on their test conditions (AWS servers in LAN environment), EOSIO can gain 1900 TPS at its best performance. There is a discrepancy between their result and the mediocre TPS (3000), optimal TPS (6000), and theoretically optimal TPS (8000) result in the Dawn 3.0 documentation (Reference: https://medium.com/eosio/eosio-dawn-3-0-now-available-49a3b99242d7), but worst scenario 1000 TPS described in the document can subsist stably reached.

    Along with increasing server configuration, the maximum TPS of the system will too increase. At the same time, if the conditions allow, augment server resources of the super-node (Block Producer) obtains better overall performance. Therefore, in the main network environment, they recommend using servers with the highest possible configuration.

    Decentralized deployment can result in an adverse effect on performance. Since the current EOSIO program code does not back multi-threading, only a single-core of CPUs can subsist utilized, so parallel computing cannot subsist used to better efficiency. In this situation, decentralized deployments, especially adding super-nodes, achieve not enhance performance for alleviating unique server pressure . Instead, they augment CPU overhead and may believe a negative impact on TPS.

    Reasonable exhaust of JIT will enhance performance. This mode can reduce the CPU usage and augment TPS to a positive extent, but its impact on stability is too noticeable.

    3. Descriptions on test conditions

    3.1 Testing Program Version

    The testing program is version dawn-v3.0.0 of EOSIO

    3.2 Hardware Environment

    Amazon AWS. Listed below according to the smooth of configuration:

    AWS EC2 t2.large (hereinafter referred to as the low-profile server): 2-core 2.3 GHz, Intel Broadwell E5–2686v4 CPU, 8GB RAM

    AWS EC2 C5.4xlarge (hereinafter referred to as high-profile server): 16-core 3GHz, Intel Xeon Platinum 8124M CPU, 32GB RAM

    We used 10Gbps LAN between servers, communication leisurely (ping) is less than 1ms.

    The operating system is Ubuntu 16.04.

    3.3 Testing Methods and Tools

    We used the txn_test_gen test plug-in implement provided by block.one to send test transaction data and commemorate performance indicators such as actual TPS and system CPU usage (Reference: https://github.com/EOSIO/eos/wiki/Testnet-Single-Host-Multinode; https://gist.github.com/spoonincode/fca5658326837b76fd744d39b2a25b4e).

    4. Test Scenarios and Results Analysis

    4.1 Scenario 1

    Deploy a "super node" (Block Producer, hereinafter referred to as BP) and a natural node (Full Node, hereinafter referred to FN) on the same low-profile server.

    The results achieved by sending test data through FN are as follows:

    4.1a

    The results achieved by sending test data through BP are as follows:

    4.1b

    It is worth noting that when the transmission rate is 1700, BP’s CPU has been used 100%, but BP noiseless shows stable processing capacity. At the same time, the usage rate of the CPU where the FN’s processing is located fluctuates greatly and cannot subsist synchronized from BP to block in time. With the system running, the block height incompatibility between BP and FN will increase.

    Through the results of this scenario, they near to the following conclusion:

    Because the current EOSIO program does not back multi-threading, it is not possible to exhaust the parallel computing of multi-core CPUs to better efficiency.

    BP's CPU usage is lower than FN's CPU usage. This finding seems to subsist the wayward of the customary understanding of "super nodes." They believe that the understanding lies in two nodes undertaking different works: BP's design philosophy is to ensure transaction security and integrity (not losing blocks), and FN is designed to provide services externally, requiring transaction signatures, serialization , verification, etc.;

    When the deals are transmitted through BP and FN respectively, there are significant differences in the platform TPS, which is too related to the above-mentioned tasks such as the signature and serialization of transactions.

    4.2 Scenario 2

    Improve server configuration and continue to commemorate system performance. Deploy a block Producer (hereinafter referred to as BP) and a full Node (hereinafter referred to as FN) on the same high-profile server.

    The results achieved by sending test data through FN are as follows:

    4.2a

    The results achieved by sending test data through BP are as follows:

    4.2b

    Comparing with Scenario 1, they observed that the maximum TPS of the system increases when the server configuration increases.

    4.3 Scenario 3

    4.3a

    The results achieved by sending test data through BP are as follows:

    4.3b

    Comparing with Scenario 2, they observed that the CPU usage in this scenario is slightly higher than that of the same condition, and this is believed to subsist caused by the cost of processing network traffic. separate deployment in this scenario does not palpate TPS significantly. This too relates to the current single-threaded approach: when BP and FN are deployed on the same server , they achieve not compete for CPU resources. Therefore, if the current code does not back multi-threading, it is possible that separate deployment will not enhance performance, but instead augment the CPU overhead.

    4.4 Scenario 4

    In Scenario 3, BP and FN are deployed on the same configuration server. Scenarios 4 and 5 deploy BP and FN on different servers with different configurations. In this scenario, BP is deployed on a low-profile server and FN is deployed on a high-profile server.

    The results achieved by sending test data through FN are as follows:

    4.4a

    The results achieved by sending test data through BP are as follows:

    4.4b

    4.5 Scenario 5

    In this scenario, FN is deployed on a low-profile server and BP is deployed on a high-profile server.

    The results achieved by sending test data through FN are as follows:

    4.5a

    The results achieved by sending test data through BP are as follows:

    4.5b

    Comparing Scenario 4 and Scenario 5, they believe that allocating more resources for BP creates better overall performance.

    4.6 Scenario 6

    The above scenarios utilized two servers (1 BP, 1 FN). In this scenario they add in one FN to deploy one BP and two FNs on three high-profile servers.

    The results achieved by sending test data through FN are as follows:

    4.6a

    The results achieved by sending test data through BP are as follows:

    Comparing the results with that of Scenario 2, they conclude that adding a server in a single-threaded scenario increases CPU overhead and may negatively palpate TPS.

    4.7 Scenario 7

    The above scenarios are unique BP cases. They augment the nodes to 2 BPs and 2 FNs in this scenario

    The results achieved by sending test data through FN are as follows:

    4.7a

    The results achieved by sending test data through BP are as follows:

    4.7b

    Comparing with the results in Scenario 6, it can subsist seen that the CPU usage after adding one more BP will increase, and the maximum TPS achieved will too subsist significantly reduced, indicating that increasing BP has a greater impact on performance. If multiple nodes are distributed in off-site main network environments, intricate environmental factors such as network delays will intensify the impact. Thus, higher requirements on node server resources is imposed.

    4.8 Scenario 8

    Dawn 3.0 description file mentioned that the default interpreter of this version was changed from JIT to Binaryen WebAssembly, which will weaken performance but augment stability and reduce the leisurely when compiling smart contracts. In Scenario 8, they change the operating parameters of scenario 2 to JIT and fabricate observation.

    The results achieved by sending test data through FN are as follows:

    4.8a

    The results achieved by sending test data through BP are as follows:

    4.8b

    Comparing to Scenario 2, they contemplate that CPU usage is significantly reduced. However, test interruption occurs when the CPU is not fully used, which proves that JIT does palpate system stability.



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