135 Grid Computing Success Criteria

What is involved in Grid Computing

Find out what the related areas are that Grid Computing connects with, associates with, correlates with or affects, and which require thought, deliberation, analysis, review and discussion. This unique checklist stands out in a sense that it is not per-se designed to give answers, but to engage the reader and lay out a Grid Computing thinking-frame.

How far is your company on its Grid Computing journey?

Take this short survey to gauge your organization’s progress toward Grid Computing leadership. Learn your strongest and weakest areas, and what you can do now to create a strategy that delivers results.

To address the criteria in this checklist for your organization, extensive selected resources are provided for sources of further research and information.

Start the Checklist

Below you will find a quick checklist designed to help you think about which Grid Computing related domains to cover and 135 essential critical questions to check off in that domain.

The following domains are covered:

Grid Computing, Computer hardware, Quality of service, Jungle computing, Large Hadron Collider, Computer memory, Simple Grid Protocol, Unified Parallel C, Load Sharing Facility, Genetic algorithm, Single instruction, multiple threads, Atos Origin, Sixth Framework Programme, Karp–Flatt metric, Instruction-level parallelism, Web service, Symmetric multiprocessing, Speculative multithreading, Open standards, Maozhen Li, Berkeley Open Infrastructure for Network Computing, Altair Engineering, Temporal multithreading, Grand Challenge problem, Application checkpointing, Bitcoin network, Distributed shared memory, United Devices Cancer Research Project, Computer programming, European Middleware Initiative, Non-blocking algorithm, Global Arrays, Pawel Plaszczak, Instruction cycle, Non-uniform memory access, Parallel programming model, Parallel random-access machine, Explicit parallelism, Protein folding, Distributed system, Superscalar processor, Cache-only memory architecture, Hardware scout, Computer cluster, Parallel computing, Grid Computing, Network interface controller, Univa Grid Engine, Great Internet Mersenne Prime Search, Memory coherence, Nordic Data Grid Facility, Silicon Graphics, Storage Resource Management, Code mobility, Computer network:

Grid Computing Critical Criteria:

Disseminate Grid Computing tasks and find the essential reading for Grid Computing researchers.

– What prevents me from making the changes I know will make me a more effective Grid Computing leader?

– Is Grid Computing dependent on the successful delivery of a current project?

– How do we Identify specific Grid Computing investment and emerging trends?

– What happened to grid computing?

– What is grid computing?

Computer hardware Critical Criteria:

Discuss Computer hardware tactics and optimize Computer hardware leadership as a key to advancement.

– How do we manage Grid Computing Knowledge Management (KM)?

– Is a Grid Computing Team Work effort in place?

Quality of service Critical Criteria:

Match Quality of service goals and budget the knowledge transfer for any interested in Quality of service.

– How do you determine the key elements that affect Grid Computing workforce satisfaction? how are these elements determined for different workforce groups and segments?

– What level of service or quality of service should the customer expect?

– Does the Grid Computing task fit the clients priorities?

– Is the Quality of Service met?

– How much does Grid Computing help?

– Quality of Service Met?

– Is our Quality of Service Met?

– Is the Quality of Service met?

Jungle computing Critical Criteria:

Illustrate Jungle computing adoptions and mentor Jungle computing customer orientation.

– Is the Grid Computing organization completing tasks effectively and efficiently?

– Will Grid Computing deliverables need to be tested and, if so, by whom?

– What are our Grid Computing Processes?

Large Hadron Collider Critical Criteria:

See the value of Large Hadron Collider planning and clarify ways to gain access to competitive Large Hadron Collider services.

– Does Grid Computing analysis isolate the fundamental causes of problems?

– How do we Lead with Grid Computing in Mind?

Computer memory Critical Criteria:

Mine Computer memory goals and create Computer memory explanations for all managers.

– What are our best practices for minimizing Grid Computing project risk, while demonstrating incremental value and quick wins throughout the Grid Computing project lifecycle?

– Where do ideas that reach policy makers and planners as proposals for Grid Computing strengthening and reform actually originate?

– Will Grid Computing have an impact on current business continuity, disaster recovery processes and/or infrastructure?

Simple Grid Protocol Critical Criteria:

Illustrate Simple Grid Protocol quality and oversee Simple Grid Protocol requirements.

– Is Grid Computing Realistic, or are you setting yourself up for failure?

– Are there recognized Grid Computing problems?

Unified Parallel C Critical Criteria:

Understand Unified Parallel C outcomes and probe using an integrated framework to make sure Unified Parallel C is getting what it needs.

– How can we incorporate support to ensure safe and effective use of Grid Computing into the services that we provide?

– How can the value of Grid Computing be defined?

Load Sharing Facility Critical Criteria:

Map Load Sharing Facility governance and document what potential Load Sharing Facility megatrends could make our business model obsolete.

– What are our needs in relation to Grid Computing skills, labor, equipment, and markets?

– How does the organization define, manage, and improve its Grid Computing processes?

– Why should we adopt a Grid Computing framework?

Genetic algorithm Critical Criteria:

Detail Genetic algorithm goals and probe the present value of growth of Genetic algorithm.

– How will we insure seamless interoperability of Grid Computing moving forward?

– Is Supporting Grid Computing documentation required?

Single instruction, multiple threads Critical Criteria:

Unify Single instruction, multiple threads leadership and stake your claim.

– How do we ensure that implementations of Grid Computing products are done in a way that ensures safety?

– Who needs to know about Grid Computing ?

– Who sets the Grid Computing standards?

Atos Origin Critical Criteria:

Analyze Atos Origin projects and spearhead techniques for implementing Atos Origin.

– Which customers cant participate in our Grid Computing domain because they lack skills, wealth, or convenient access to existing solutions?

– What role does communication play in the success or failure of a Grid Computing project?

– What new services of functionality will be implemented next with Grid Computing ?

Sixth Framework Programme Critical Criteria:

Rank Sixth Framework Programme tasks and pioneer acquisition of Sixth Framework Programme systems.

– What are the success criteria that will indicate that Grid Computing objectives have been met and the benefits delivered?

– Does Grid Computing analysis show the relationships among important Grid Computing factors?

Karp–Flatt metric Critical Criteria:

Examine Karp–Flatt metric governance and separate what are the business goals Karp–Flatt metric is aiming to achieve.

– To what extent does management recognize Grid Computing as a tool to increase the results?

– What are the long-term Grid Computing goals?

Instruction-level parallelism Critical Criteria:

Dissect Instruction-level parallelism governance and devote time assessing Instruction-level parallelism and its risk.

– Are there Grid Computing problems defined?

Web service Critical Criteria:

Be responsible for Web service leadership and attract Web service skills.

– Are there any easy-to-implement alternatives to Grid Computing? Sometimes other solutions are available that do not require the cost implications of a full-blown project?

– Expose its policy engine via web services for use by third-party systems (e.g. provisioning, help desk solutions)?

– How does this standard provide users the ability to access applications and services through web services?

– Why is it important to have senior management support for a Grid Computing project?

– What is the best strategy going forward for data center disaster recovery?

– Amazon web services is which type of cloud computing distribution model?

Symmetric multiprocessing Critical Criteria:

Guide Symmetric multiprocessing failures and devise Symmetric multiprocessing key steps.

– How do mission and objectives affect the Grid Computing processes of our organization?

– Do you monitor the effectiveness of your Grid Computing activities?

– What are the Essentials of Internal Grid Computing Management?

Speculative multithreading Critical Criteria:

Add value to Speculative multithreading issues and probe Speculative multithreading strategic alliances.

– What is the source of the strategies for Grid Computing strengthening and reform?

– How do we measure improved Grid Computing service perception, and satisfaction?

– How can you measure Grid Computing in a systematic way?

Open standards Critical Criteria:

Substantiate Open standards issues and prioritize challenges of Open standards.

Maozhen Li Critical Criteria:

Demonstrate Maozhen Li tactics and separate what are the business goals Maozhen Li is aiming to achieve.

– Who will be responsible for deciding whether Grid Computing goes ahead or not after the initial investigations?

– Think of your Grid Computing project. what are the main functions?

Berkeley Open Infrastructure for Network Computing Critical Criteria:

Administer Berkeley Open Infrastructure for Network Computing leadership and correct better engagement with Berkeley Open Infrastructure for Network Computing results.

– Consider your own Grid Computing project. what types of organizational problems do you think might be causing or affecting your problem, based on the work done so far?

– Among the Grid Computing product and service cost to be estimated, which is considered hardest to estimate?

– Do the Grid Computing decisions we make today help people and the planet tomorrow?

Altair Engineering Critical Criteria:

Guide Altair Engineering governance and find answers.

– Can Management personnel recognize the monetary benefit of Grid Computing?

– Have all basic functions of Grid Computing been defined?

Temporal multithreading Critical Criteria:

Scan Temporal multithreading governance and describe the risks of Temporal multithreading sustainability.

– Do we all define Grid Computing in the same way?

– How can we improve Grid Computing?

Grand Challenge problem Critical Criteria:

Devise Grand Challenge problem planning and question.

– How do we go about Comparing Grid Computing approaches/solutions?

– What are specific Grid Computing Rules to follow?

Application checkpointing Critical Criteria:

Mine Application checkpointing issues and oversee Application checkpointing requirements.

– How do senior leaders actions reflect a commitment to the organizations Grid Computing values?

– Are assumptions made in Grid Computing stated explicitly?

Bitcoin network Critical Criteria:

Discourse Bitcoin network failures and pay attention to the small things.

– Are accountability and ownership for Grid Computing clearly defined?

– Could the Bitcoin Network Be Used as an Ultrasecure Notary Service?

– How is the value delivered by Grid Computing being measured?

Distributed shared memory Critical Criteria:

Consider Distributed shared memory governance and adjust implementation of Distributed shared memory.

– A compounding model resolution with available relevant data can often provide insight towards a solution methodology; which Grid Computing models, tools and techniques are necessary?

United Devices Cancer Research Project Critical Criteria:

Transcribe United Devices Cancer Research Project quality and simulate teachings and consultations on quality process improvement of United Devices Cancer Research Project.

– What will be the consequences to the business (financial, reputation etc) if Grid Computing does not go ahead or fails to deliver the objectives?

– Why is Grid Computing important for you now?

– Are we Assessing Grid Computing and Risk?

Computer programming Critical Criteria:

Systematize Computer programming risks and oversee implementation of Computer programming.

– Does our organization need more Grid Computing education?

– What is Effective Grid Computing?

European Middleware Initiative Critical Criteria:

Categorize European Middleware Initiative results and get out your magnifying glass.

– In the case of a Grid Computing project, the criteria for the audit derive from implementation objectives. an audit of a Grid Computing project involves assessing whether the recommendations outlined for implementation have been met. in other words, can we track that any Grid Computing project is implemented as planned, and is it working?

– Who are the people involved in developing and implementing Grid Computing?

Non-blocking algorithm Critical Criteria:

Participate in Non-blocking algorithm planning and catalog what business benefits will Non-blocking algorithm goals deliver if achieved.

– What are your current levels and trends in key measures or indicators of Grid Computing product and process performance that are important to and directly serve your customers? how do these results compare with the performance of your competitors and other organizations with similar offerings?

Global Arrays Critical Criteria:

Frame Global Arrays tasks and figure out ways to motivate other Global Arrays users.

– How do your measurements capture actionable Grid Computing information for use in exceeding your customers expectations and securing your customers engagement?

Pawel Plaszczak Critical Criteria:

Have a session on Pawel Plaszczak planning and ask questions.

Instruction cycle Critical Criteria:

Canvass Instruction cycle results and suggest using storytelling to create more compelling Instruction cycle projects.

Non-uniform memory access Critical Criteria:

Rank Non-uniform memory access failures and correct Non-uniform memory access management by competencies.

Parallel programming model Critical Criteria:

Set goals for Parallel programming model leadership and observe effective Parallel programming model.

– Does Grid Computing systematically track and analyze outcomes for accountability and quality improvement?

Parallel random-access machine Critical Criteria:

Review Parallel random-access machine planning and attract Parallel random-access machine skills.

Explicit parallelism Critical Criteria:

Understand Explicit parallelism engagements and transcribe Explicit parallelism as tomorrows backbone for success.

– What are internal and external Grid Computing relations?

Protein folding Critical Criteria:

Recall Protein folding tasks and look at it backwards.

– Who will be responsible for making the decisions to include or exclude requested changes once Grid Computing is underway?

Distributed system Critical Criteria:

Define Distributed system projects and maintain Distributed system for success.

– How do we know that any Grid Computing analysis is complete and comprehensive?

Superscalar processor Critical Criteria:

Revitalize Superscalar processor failures and gather practices for scaling Superscalar processor.

– What are your most important goals for the strategic Grid Computing objectives?

– Who will be responsible for documenting the Grid Computing requirements in detail?

– What are the Key enablers to make this Grid Computing move?

Cache-only memory architecture Critical Criteria:

Participate in Cache-only memory architecture issues and pay attention to the small things.

– Can we add value to the current Grid Computing decision-making process (largely qualitative) by incorporating uncertainty modeling (more quantitative)?

– What management system can we use to leverage the Grid Computing experience, ideas, and concerns of the people closest to the work to be done?

Hardware scout Critical Criteria:

Generalize Hardware scout risks and probe Hardware scout strategic alliances.

Computer cluster Critical Criteria:

Model after Computer cluster risks and differentiate in coordinating Computer cluster.

– Which Grid Computing goals are the most important?

Parallel computing Critical Criteria:

Participate in Parallel computing results and pay attention to the small things.

– For your Grid Computing project, identify and describe the business environment. is there more than one layer to the business environment?

– How do we make it meaningful in connecting Grid Computing with what users do day-to-day?

– How important is Grid Computing to the user organizations mission?

Grid Computing Critical Criteria:

Probe Grid Computing issues and finalize specific methods for Grid Computing acceptance.

– What are the short and long-term Grid Computing goals?

– What will drive Grid Computing change?

– Do we have past Grid Computing Successes?

Network interface controller Critical Criteria:

Canvass Network interface controller management and inform on and uncover unspoken needs and breakthrough Network interface controller results.

– Risk factors: what are the characteristics of Grid Computing that make it risky?

Univa Grid Engine Critical Criteria:

Think carefully about Univa Grid Engine tactics and intervene in Univa Grid Engine processes and leadership.

Great Internet Mersenne Prime Search Critical Criteria:

Steer Great Internet Mersenne Prime Search failures and gather practices for scaling Great Internet Mersenne Prime Search.

– Do we monitor the Grid Computing decisions made and fine tune them as they evolve?

Memory coherence Critical Criteria:

Substantiate Memory coherence decisions and research ways can we become the Memory coherence company that would put us out of business.

– What vendors make products that address the Grid Computing needs?

Nordic Data Grid Facility Critical Criteria:

Revitalize Nordic Data Grid Facility strategies and intervene in Nordic Data Grid Facility processes and leadership.

– How do we keep improving Grid Computing?

Silicon Graphics Critical Criteria:

Value Silicon Graphics decisions and assess what counts with Silicon Graphics that we are not counting.

– How do we go about Securing Grid Computing?

Storage Resource Management Critical Criteria:

Reorganize Storage Resource Management governance and adopt an insight outlook.

– Think about the kind of project structure that would be appropriate for your Grid Computing project. should it be formal and complex, or can it be less formal and relatively simple?

– Do several people in different organizational units assist with the Grid Computing process?

– Meeting the challenge: are missed Grid Computing opportunities costing us money?

Code mobility Critical Criteria:

Have a round table over Code mobility issues and optimize Code mobility leadership as a key to advancement.

– Why are Grid Computing skills important?

Computer network Critical Criteria:

Cut a stake in Computer network goals and find out what it really means.

– What is the total cost related to deploying Grid Computing, including any consulting or professional services?

– Is the illegal entry into a private computer network a crime in your country?

– Are there Grid Computing Models?


This quick readiness checklist is a selected resource to help you move forward. Learn more about how to achieve comprehensive insights with the Grid Computing Self Assessment:


Author: Gerard Blokdijk

CEO at The Art of Service | http://theartofservice.com



Gerard is the CEO at The Art of Service. He has been providing information technology insights, talks, tools and products to organizations in a wide range of industries for over 25 years. Gerard is a widely recognized and respected information expert. Gerard founded The Art of Service consulting business in 2000. Gerard has authored numerous published books to date.

External links:

To address the criteria in this checklist, these selected resources are provided for sources of further research and information:

Grid Computing External links:

Grid computing (Book, 2006) [WorldCat.org]

[PDF]Grid Computing – University of Minnesota Duluth

Computer hardware External links:

Computer Hardware | Computerworld

Computer Hardware, PC Parts & Components – Newegg.com

What Is Computer Hardware – Study.com

Large Hadron Collider External links:

Most Popular “Large Hadron Collider” Titles – IMDb

Large Hadron Collider | Science News

Computer memory External links:

Computer Memory for Every Model – MemoryGiant.com

Desktop RAM, Computer Memory – Newegg.com

Computer Memory and PC RAM – Newegg.com

Simple Grid Protocol External links:

Simple Grid Protocol – Free Software Directory

Unified Parallel C External links:

Blue Waters User Portal | Unified Parallel C (UPC)

[PDF]CFD on the Cray X1E using Unified Parallel C – gwu.edu

Unified Parallel C at George Washington University

Load Sharing Facility External links:

CiteSeerX — Load Sharing Facility

LSF abbreviation stands for Load Sharing Facility

Genetic algorithm External links:

HTML5 Genetic Algorithm Biped Walkers – rednuht.org

Genetic Algorithm Flashcards | Quizlet

Genetic Algorithm in MATLAB – YouTube

Single instruction, multiple threads External links:

Single instruction, multiple threads – WOW.com

Atos Origin External links:

AEXAF : Summary for ATOS ORIGIN SA ORD – Yahoo Finance

Jobs at Atos Origin | Ladders

Instruction-level parallelism External links:

What is Instruction-Level Parallelism? Webopedia …

The Journal of Instruction-Level Parallelism

Web service External links:

TeletracXMLGateway Web Service

MSU Police Web Service

Tax Data Systems – Sales Tax Rates Web Service

Symmetric multiprocessing External links:

Symmetric multiprocessing
http://SMP (symmetric multiprocessing) is the processing of programs by multiple processors that share a common operating system and memory. In symmetric (or “tightly coupled”) multiprocessing, the processors share memory and the I/O bus or data path. A single copy of the operating system is in charge of all the processors.

What is Symmetric Multiprocessing (SMP)? Webopedia …

SMP (symmetric multiprocessing) – Gartner IT Glossary

Speculative multithreading External links:

[PDF]Speculative Multithreading Does not (Necessarily) …

[PDF]Speculative Multithreading: from Multiscalar to MSSP

Open standards External links:

Autonomous Transportation Open Standards Lab

VITA: Open Standards, Open Markets

Open Standards Software IP PBX – 3CX

Berkeley Open Infrastructure for Network Computing External links:

Berkeley Open Infrastructure for Network Computing – …

Altair Engineering External links:

Altair Engineering, Inc research information – IPO Boutique

Altair Engineering Finland Oy – Sign In

Altair Engineering | IPOScoop

Application checkpointing External links:


Bitcoin network External links:

Bitcoin Network Statistics

Distributed shared memory External links:

[PDF]Distributed Shared Memory: Concepts and Systems – …


United Devices Cancer Research Project External links:

Intel-United Devices Cancer Research Project

Computer programming External links:

Computer Programming Degrees and Certificates – …

Computer Programming, Robotics & Engineering – STEM For Kids

Coding for Kids | Computer Programming | AgentCubes online

European Middleware Initiative External links:

European Middleware Initiative | Zenodo

European Middleware Initiative – Home | Facebook

About the European Middleware Initiative and FutureGrid

Non-blocking algorithm External links:

Distributed semi-rearrangeable non-blocking algorithm …

Global Arrays External links:

PNNL: Global Arrays Toolkit

Instruction cycle External links:

What is Instruction Cycle? Webopedia Definition

Non-uniform memory access External links:

Non-uniform memory access – YouTube

Non-Uniform Memory Access (NUMA): Overview – Petri

[PDF]Non-uniform memory access (NUMA) – cc.gatech.edu

Parallel programming model External links:

[PDF]Supporting a Flexible Parallel Programming Model …

High-level parallel programming model simplifies …

Parallel random-access machine External links:

parallel random-access machine – NIST

Protein folding External links:

Protein folding – ScienceDaily

Protein Folding – YouTube

Protein Folding News, Research

Distributed system External links:

Chapter 4: Architecture of Distributed Systems

Distributed System – FREE download Distributed System

[PDF]Introduction to Distributed Systems – se.rit.edu

Cache-only memory architecture External links:

Cache-Only Memory Architecture – TheFreeDictionary

Computer cluster External links:

What is Computer Cluster? – Definition from Techopedia

Computer Cluster | Forbes College

Computer Cluster | Wilson College

Parallel computing External links:

Parallel Computing Institute – Parallel@Illinois

Grid Computing External links:

[PDF]Grid Computing – University of Minnesota Duluth

Grid computing (Book, 2006) [WorldCat.org]

Univa Grid Engine External links:

[PDF]Using The Batch System: Univa Grid Engine (UGE) at …

Release Notes – Univa Grid Engine

Univa Grid Engine Documentation – UGE810

Great Internet Mersenne Prime Search External links:

Great Internet Mersenne Prime Search – PrimeNet

mersenne.org – Great Internet Mersenne Prime Search – PrimeNet

Mersenne.org Great Internet Mersenne Prime Search – PrimeNet

Nordic Data Grid Facility External links:

Nordic Data Grid Facility – WOW.com

NDGF abbreviation stands for Nordic Data Grid Facility

Josva Kleist | The Nordic Data Grid Facility | ZoomInfo.com

Silicon Graphics External links:

silicon graphics IT Jobs | Monster.com

Storage Resource Management External links:

Storage Resource Management (SRM) – Gartner IT Glossary

ViPR Storage Resource Management (SRM)

Storage Resource Management Tools – Pure Storage

Code mobility External links:

CiteSeerX — Understanding Code Mobility

Code Mobility – blusas.store

[PDF]Modeling Code Mobility Paradigms in OPM/Web – …

Computer network External links:

15-1152.00 – Computer Network Support Specialists

Computer Networks – Journal – Elsevier

What is a Computer Network? Webopedia Definition

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