Free Assessment: 145 Distributed Computing Things You Should Know

What is involved in Distributed computing

Find out what the related areas are that Distributed 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 Distributed computing thinking-frame.

How far is your company on its Distributed Computing journey?

Take this short survey to gauge your organization’s progress toward Distributed 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 Distributed computing related domains to cover and 145 essential critical questions to check off in that domain.

The following domains are covered:

Distributed computing, Ole-Johan Dahl, Jungle computing, Shamkant Navathe, Parallel random-access machine, Dataflow architecture, DIP Research, Computer program, Halting problem, Dutch national flag problem, Analysis of parallel algorithms, Code mobility, Theoretical computer science, Producer–consumer problem, International Symposium on Distributed Computing, Data parallelism, Nati Linial, Byzantine fault tolerance, Cache-only memory architecture, Non-uniform memory access, Predicate transformer semantics, Logical clock, Manycore processor, CAP theorem, Universal Turing machine, Message Passing Interface, Distributed Information Processing, Sanjeev Arora, Clock synchronization, Call stack, Layered queueing network, Computational complexity theory, Inter-process communication, Programming methodology, Self-stabilizing system, Simultaneous multithreading, Abstraction layer, Memory-level parallelism, Instruction-level parallelism, Unbounded nondeterminism, Distributed file system, Race condition, Formal methods, Single instruction, multiple threads, Go To Statement Considered Harmful, Goto-less programming, Edsger W. Dijkstra Prize in Distributed Computing, Hardware scout, POSIX Threads, General-purpose computing on graphics processing units, Industrial control systems, Computer multitasking, Task parallelism, Distributed rendering, Deterministic algorithm, Global Arrays, Massively multiplayer online game, Library Oriented Architecture, Decentralized computing, Adriaan van Wijngaarden:

Distributed computing Critical Criteria:

Design Distributed computing tasks and gather practices for scaling Distributed computing.

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

– What role does communication play in the success or failure of a Distributed computing project?

– Do the Distributed computing decisions we make today help people and the planet tomorrow?

Ole-Johan Dahl Critical Criteria:

Gauge Ole-Johan Dahl decisions and finalize specific methods for Ole-Johan Dahl acceptance.

– How likely is the current Distributed computing plan to come in on schedule or on budget?

– How will you know that the Distributed computing project has been successful?

Jungle computing Critical Criteria:

Familiarize yourself with Jungle computing tasks and report on developing an effective Jungle computing strategy.

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

– How do we Identify specific Distributed computing investment and emerging trends?

– Which Distributed computing goals are the most important?

Shamkant Navathe Critical Criteria:

Scan Shamkant Navathe failures and pay attention to the small things.

– How can skill-level changes improve Distributed computing?

– How do we Lead with Distributed computing in Mind?

– Do we have past Distributed computing Successes?

Parallel random-access machine Critical Criteria:

Own Parallel random-access machine visions and overcome Parallel random-access machine skills and management ineffectiveness.

– Marketing budgets are tighter, consumers are more skeptical, and social media has changed forever the way we talk about Distributed computing. How do we gain traction?

– How will you measure your Distributed computing effectiveness?

– Are there recognized Distributed computing problems?

Dataflow architecture Critical Criteria:

Think carefully about Dataflow architecture visions and revise understanding of Dataflow architecture architectures.

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

– What are your most important goals for the strategic Distributed computing objectives?

– How to deal with Distributed computing Changes?

DIP Research Critical Criteria:

Pay attention to DIP Research strategies and point out DIP Research tensions in leadership.

– How can you negotiate Distributed computing successfully with a stubborn boss, an irate client, or a deceitful coworker?

– How can you measure Distributed computing in a systematic way?

– What are our Distributed computing Processes?

Computer program Critical Criteria:

Face Computer program decisions and adjust implementation of Computer program.

– Does Distributed computing include applications and information with regulatory compliance significance (or other contractual conditions that must be formally complied with) in a new or unique manner for which no approved security requirements, templates or design models exist?

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

Halting problem Critical Criteria:

Shape Halting problem tactics and assess what counts with Halting problem that we are not counting.

– What are the key elements of your Distributed computing performance improvement system, including your evaluation, organizational learning, and innovation processes?

– What tools do you use once you have decided on a Distributed computing strategy and more importantly how do you choose?

– Have all basic functions of Distributed computing been defined?

Dutch national flag problem Critical Criteria:

Deliberate over Dutch national flag problem failures and point out Dutch national flag problem tensions in leadership.

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

– Do those selected for the Distributed computing team have a good general understanding of what Distributed computing is all about?

Analysis of parallel algorithms Critical Criteria:

Check Analysis of parallel algorithms tactics and display thorough understanding of the Analysis of parallel algorithms process.

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

– How much does Distributed computing help?

Code mobility Critical Criteria:

Accelerate Code mobility engagements and attract Code mobility skills.

– What is the source of the strategies for Distributed computing strengthening and reform?

– Risk factors: what are the characteristics of Distributed computing that make it risky?

– How do we measure improved Distributed computing service perception, and satisfaction?

Theoretical computer science Critical Criteria:

Talk about Theoretical computer science results and grade techniques for implementing Theoretical computer science controls.

– To what extent does management recognize Distributed computing as a tool to increase the results?

– What are the Key enablers to make this Distributed computing move?

– What are current Distributed computing Paradigms?

Producer–consumer problem Critical Criteria:

Have a session on Producer–consumer problem outcomes and observe effective Producer–consumer problem.

– Is maximizing Distributed computing protection the same as minimizing Distributed computing loss?

International Symposium on Distributed Computing Critical Criteria:

Paraphrase International Symposium on Distributed Computing leadership and sort International Symposium on Distributed Computing activities.

– Does Distributed computing create potential expectations in other areas that need to be recognized and considered?

– Do we monitor the Distributed computing decisions made and fine tune them as they evolve?

– Which individuals, teams or departments will be involved in Distributed computing?

Data parallelism Critical Criteria:

Systematize Data parallelism engagements and devise Data parallelism key steps.

– What other jobs or tasks affect the performance of the steps in the Distributed computing process?

Nati Linial Critical Criteria:

Cut a stake in Nati Linial goals and use obstacles to break out of ruts.

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

– What are the barriers to increased Distributed computing production?

– How is the value delivered by Distributed computing being measured?

Byzantine fault tolerance Critical Criteria:

Group Byzantine fault tolerance projects and check on ways to get started with Byzantine fault tolerance.

– How do we Improve Distributed computing service perception, and satisfaction?

Cache-only memory architecture Critical Criteria:

Focus on Cache-only memory architecture failures and look for lots of ideas.

– How do senior leaders actions reflect a commitment to the organizations Distributed computing values?

– Who are the people involved in developing and implementing Distributed computing?

Non-uniform memory access Critical Criteria:

Use past Non-uniform memory access failures and maintain Non-uniform memory access for success.

– How do you incorporate cycle time, productivity, cost control, and other efficiency and effectiveness factors into these Distributed computing processes?

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

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

Predicate transformer semantics Critical Criteria:

Guide Predicate transformer semantics tasks and grade techniques for implementing Predicate transformer semantics controls.

– How can the value of Distributed computing be defined?

Logical clock Critical Criteria:

Incorporate Logical clock risks and reinforce and communicate particularly sensitive Logical clock decisions.

– Does Distributed computing systematically track and analyze outcomes for accountability and quality improvement?

– What are the record-keeping requirements of Distributed computing activities?

Manycore processor Critical Criteria:

Start Manycore processor failures and question.

CAP theorem Critical Criteria:

Adapt CAP theorem strategies and clarify ways to gain access to competitive CAP theorem services.

– What are your results for key measures or indicators of the accomplishment of your Distributed computing strategy and action plans, including building and strengthening core competencies?

Universal Turing machine Critical Criteria:

Survey Universal Turing machine quality and get going.

– Is the Distributed computing organization completing tasks effectively and efficiently?

– How do we know that any Distributed computing analysis is complete and comprehensive?

Message Passing Interface Critical Criteria:

Wrangle Message Passing Interface engagements and find the ideas you already have.

– What vendors make products that address the Distributed computing needs?

Distributed Information Processing Critical Criteria:

Have a session on Distributed Information Processing failures and shift your focus.

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

– What threat is Distributed computing addressing?

Sanjeev Arora Critical Criteria:

Tête-à-tête about Sanjeev Arora projects and secure Sanjeev Arora creativity.

– Does Distributed computing analysis show the relationships among important Distributed computing factors?

– Are accountability and ownership for Distributed computing clearly defined?

– Who will provide the final approval of Distributed computing deliverables?

Clock synchronization Critical Criteria:

Examine Clock synchronization risks and learn.

– What are our needs in relation to Distributed computing skills, labor, equipment, and markets?

– Can we do Distributed computing without complex (expensive) analysis?

– What are internal and external Distributed computing relations?

Call stack Critical Criteria:

Apply Call stack projects and develop and take control of the Call stack initiative.

– Think of your Distributed computing project. what are the main functions?

– Is Distributed computing Required?

Layered queueing network Critical Criteria:

Face Layered queueing network leadership and use obstacles to break out of ruts.

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

– What potential environmental factors impact the Distributed computing effort?

Computational complexity theory Critical Criteria:

Chart Computational complexity theory strategies and catalog what business benefits will Computational complexity theory goals deliver if achieved.

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

– Does our organization need more Distributed computing education?

Inter-process communication Critical Criteria:

Reason over Inter-process communication visions and devise Inter-process communication key steps.

– Are there any disadvantages to implementing Distributed computing? There might be some that are less obvious?

– What are the long-term Distributed computing goals?

Programming methodology Critical Criteria:

Trace Programming methodology results and proactively manage Programming methodology risks.

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

– Are assumptions made in Distributed computing stated explicitly?

Self-stabilizing system Critical Criteria:

Revitalize Self-stabilizing system decisions and proactively manage Self-stabilizing system risks.

– What business benefits will Distributed computing goals deliver if achieved?

Simultaneous multithreading Critical Criteria:

Meet over Simultaneous multithreading governance and define what our big hairy audacious Simultaneous multithreading goal is.

– When a Distributed computing manager recognizes a problem, what options are available?

Abstraction layer Critical Criteria:

Test Abstraction layer results and intervene in Abstraction layer processes and leadership.

– How would one define Distributed computing leadership?

– Why are Distributed computing skills important?

Memory-level parallelism Critical Criteria:

Reconstruct Memory-level parallelism tasks and finalize the present value of growth of Memory-level parallelism.

– Will new equipment/products be required to facilitate Distributed computing delivery for example is new software needed?

Instruction-level parallelism Critical Criteria:

Investigate Instruction-level parallelism leadership and test out new things.

Unbounded nondeterminism Critical Criteria:

Model after Unbounded nondeterminism governance and adjust implementation of Unbounded nondeterminism.

– Why is it important to have senior management support for a Distributed computing project?

– Are there Distributed computing problems defined?

Distributed file system Critical Criteria:

Trace Distributed file system management and interpret which customers can’t participate in Distributed file system because they lack skills.

– Do we all define Distributed computing in the same way?

– What about Distributed computing Analysis of results?

Race condition Critical Criteria:

Learn from Race condition strategies and acquire concise Race condition education.

– What are the disruptive Distributed computing technologies that enable our organization to radically change our business processes?

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

Formal methods Critical Criteria:

Audit Formal methods quality and differentiate in coordinating Formal methods.

– Is there a Distributed computing Communication plan covering who needs to get what information when?

Single instruction, multiple threads Critical Criteria:

Reason over Single instruction, multiple threads goals and explore and align the progress in Single instruction, multiple threads.

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

– Is Distributed computing Realistic, or are you setting yourself up for failure?

Go To Statement Considered Harmful Critical Criteria:

Reorganize Go To Statement Considered Harmful results and adopt an insight outlook.

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

– Do we aggressively reward and promote the people who have the biggest impact on creating excellent Distributed computing services/products?

Goto-less programming Critical Criteria:

Unify Goto-less programming projects and raise human resource and employment practices for Goto-less programming.

– At what point will vulnerability assessments be performed once Distributed computing is put into production (e.g., ongoing Risk Management after implementation)?

Edsger W. Dijkstra Prize in Distributed Computing Critical Criteria:

Examine Edsger W. Dijkstra Prize in Distributed Computing governance and triple focus on important concepts of Edsger W. Dijkstra Prize in Distributed Computing relationship management.

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

Hardware scout Critical Criteria:

Reason over Hardware scout failures and adopt an insight outlook.

– Does the Distributed computing task fit the clients priorities?

POSIX Threads Critical Criteria:

Check POSIX Threads projects and work towards be a leading POSIX Threads expert.

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

General-purpose computing on graphics processing units Critical Criteria:

Model after General-purpose computing on graphics processing units outcomes and forecast involvement of future General-purpose computing on graphics processing units projects in development.

– Are we making progress? and are we making progress as Distributed computing leaders?

– Do you monitor the effectiveness of your Distributed computing activities?

– How do we go about Comparing Distributed computing approaches/solutions?

Industrial control systems Critical Criteria:

Talk about Industrial control systems risks and point out improvements in Industrial control systems.

Computer multitasking Critical Criteria:

Deliberate Computer multitasking leadership and customize techniques for implementing Computer multitasking controls.

Task parallelism Critical Criteria:

Brainstorm over Task parallelism risks and find the ideas you already have.

– How do we maintain Distributed computings Integrity?

Distributed rendering Critical Criteria:

Adapt Distributed rendering tasks and oversee Distributed rendering requirements.

Deterministic algorithm Critical Criteria:

Use past Deterministic algorithm engagements and sort Deterministic algorithm activities.

– Does Distributed computing appropriately measure and monitor risk?

Global Arrays Critical Criteria:

Pilot Global Arrays issues and use obstacles to break out of ruts.

Massively multiplayer online game Critical Criteria:

Frame Massively multiplayer online game tasks and look in other fields.

– How do we manage Distributed computing Knowledge Management (KM)?

Library Oriented Architecture Critical Criteria:

Apply Library Oriented Architecture projects and proactively manage Library Oriented Architecture risks.

Decentralized computing Critical Criteria:

Paraphrase Decentralized computing governance and diversify disclosure of information – dealing with confidential Decentralized computing information.

– What other organizational variables, such as reward systems or communication systems, affect the performance of this Distributed computing process?

– What is the purpose of Distributed computing in relation to the mission?

Adriaan van Wijngaarden Critical Criteria:

Discuss Adriaan van Wijngaarden management and budget for Adriaan van Wijngaarden challenges.

– Who is responsible for ensuring appropriate resources (time, people and money) are allocated to Distributed computing?


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

Author: Gerard Blokdijk

CEO at The Art of Service |

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:

Distributed computing External links:

Distributed Computing (eBook, 2010) []

Title Distributed Computing Jobs, Employment |

Ole-Johan Dahl External links:

Ole-Johan Dahl | Norwegian computer scientist |

Ole-Johan Dahl – A.M. Turing Award Winner

Structured Programming by Ole-Johan Dahl – Goodreads

Shamkant Navathe External links:

Shamkant Navathe | College of Computing

Shamkant Navathe | School of Computer Science

Parallel random-access machine External links:

Parallel random-access machine – YouTube

parallel random-access machine – NIST

Dataflow architecture External links:

[PDF]Dataflow Architecture – Bilgisayar Mühendisliği Bölümü

DIP Research External links:


Computer program External links:

How do I create a computer program?

Cepheus, a poker-playing computer program, can’t lose – CNN

What Is the Computer Program Access? |

Halting problem External links:

Halting Problem – Home | Facebook

xkcd: Halting Problem

Lecture 22: Turing Machines, Decidability, Halting Problem

Dutch national flag problem External links:

Dutch National Flag Problem –

C++: Dutch National Flag Problem | TFE Times

Analysis of parallel algorithms External links:

[PDF]Analysis of Parallel Algorithms

Code mobility External links:

Code Mobility –

d.Code Mobility | Facebook

CiteSeerX — Understanding Code Mobility

Theoretical computer science External links:

Theoretical Computer Science Stack Exchange

ITCS 2018 Innovations in Theoretical Computer Science

Theoretical computer science (Book, 1977) []

International Symposium on Distributed Computing External links:

International Symposium on DIStributed Computing …

Data parallelism External links:

[PDF]Data parallelism – University Of Maryland

[PDF]Data Parallelism – Chapel

tensorflow – Data parallelism in Keras – Stack Overflow

Nati Linial External links:

Nati Linial – Google Scholar Citations

[PDF]Nati Linial Nogafest, Tel Aviv, January ’16 –

Nati Linial : Home page – The Hebrew University

Byzantine fault tolerance External links:

[PDF]Byzantine Fault Tolerance in a Distributed System

L6: Byzantine Fault Tolerance – YouTube

Cache-only memory architecture External links:

DDM-a cache-only memory architecture – IEEE Xplore …

[PDF]DDM – A Cache-Only Memory Architecture

Non-uniform memory access External links:

NUMA (Non-Uniform Memory Access): An Overview – …

What is NUMA (non-uniform memory access)? – …

Non-uniform memory access – YouTube

Logical clock External links:

Logical Clock: 12 Steps (with Pictures) –

Manycore processor External links:

[PDF]Building Manycore Processor-to-DRAM Networks …

CAP theorem External links:

[PDF]Spanner, TrueTime & The CAP Theorem – Research at …

Big Data and NoSQL Databases Tutorial-(CAP theorem)- …

CAP Theorem: Explained – Robert Greiner

Universal Turing machine External links:

Universal Turing machine – Encyclopedia of Mathematics

Universal Turing Machine –

universal Turing machine – Wiktionary

Message Passing Interface External links:

Message Passing Interface (MPI) | HPC | USC

Introduction to the Message Passing Interface (MPI) using C

[PDF]Message Passing Interface Tutorial (Introduction …

Distributed Information Processing External links:

4190.662A Distributed Information Processing – SNU

CiteSeerX — Distributed Information Processing Group

Sanjeev Arora External links:

Sanjeev Arora, MD – Cardiologist in Alpena, MI |

Visit Healthgrades for information on Dr. Sanjeev Arora, MD Find Phone & Address information, medical practice history, affiliated hospitals and more.

Dr. Sanjeev Arora, MD, BS, MBBS, rated 3.2/5 by patients. 21 reviews, Phone number & practice locations, Pain Management Doctor in Minneapolis, MN.

Clock synchronization External links:

Atomic Clock Synch, Atomic Clock Synchronization, …

Maximum tolerance for computer clock synchronization

Clock synchronization quality on Windows Azure? – …

Call stack External links:

Map methods on the call stack while debugging in Visual Studio

Layered queueing network External links:

Layered Queueing Network – Acronyms and Abbreviations

GitHub – layeredqueuing/V5: Layered Queueing Network …

layeredqueuing (Layered Queueing Network Solvers) · GitHub

Computational complexity theory External links:

Computational complexity theory (eBook, 2004) …

Computational Complexity Theory – Home – Springer

Inter-process communication External links:

Inter-process Communication – Mill Computing, Inc

Programming methodology External links:

COS130 – Comp Programming Methodology

What is Programming Methodology – Chegg Tutors | …

Lecture 21 | Programming Methodology (Stanford) – YouTube

Simultaneous multithreading External links:

[PDF]Simultaneous Multithreading: Maximizing On-Chip …

What is Simultaneous Multithreading – Stack Exchange

“Simultaneous multithreading: Operating system …

Abstraction layer External links:

Hardware Abstraction Layer (HAL) | Android Open Source Project

What is hardware abstraction layer? | Computer Networking

Memory-level parallelism External links:

[PDF]Caches and Memory-Level Parallelism

Instruction-level parallelism External links:

What is Instruction-Level Parallelism? Webopedia …

The Journal of Instruction-Level Parallelism

[PDF]Chapter 3 Instruction-Level Parallelism and Its …

Unbounded nondeterminism External links:

In computer science, unbounded nondeterminism or unbounded indeterminacy is a property of concurrency by which the amount of delay in servicing a request can become unbounded as a result of arbitration of contention for shared resources while still guaranteeing that the request will eventually be serviced.

Distributed file system External links:

Distributed File System

Step-by-Step Guide to Distributed File System (Dfs)

Race condition External links:

multithreading – What is a race condition? – Stack Overflow

What is a race condition? How do you avoid it? – Quora

Race condition (software) – DEVOPEDIA.ORG

Formal methods External links:

Formal Methods and Models | Volgenau School of …

Formal Methods – MATLAB & Simulink – MathWorks

Formal Methods – Carnegie Mellon University

Single instruction, multiple threads External links:

Single instruction, multiple threads explained

Single instruction, multiple threads –,_multiple_threads

Single instruction, multiple threads – Revolvy instruction, multiple threads

Go To Statement Considered Harmful External links:

[PDF]Go To Statement Considered Harmful – University of …

Go To Statement Considered Harmful –

Go To Statement Considered Harmful: A Retrospective

Edsger W. Dijkstra Prize in Distributed Computing External links:

The 2009 Edsger W. Dijkstra prize in distributed computing

Edsger W. Dijkstra Prize in Distributed Computing – ACM …

POSIX Threads External links:

POSIX Threads Programming Exercise

POSIX Threads (pthreads) for Win32 –

Common threads: POSIX threads explained, Part 2 –

General-purpose computing on graphics processing units External links:

General-purpose computing on graphics processing units

Industrial control systems External links:

Waterfall Security Solutions – industrial control systems

Industrial Control Systems & SCADA Security Training

Computer multitasking External links:

What Is Computer Multitasking? (with picture) – wiseGEEK

Computer Multitasking Articles, Photos and Videos – AOL

Task parallelism External links:

Task parallelism Facts for Kids |

Task Parallelism (Concurrency Runtime)

Distributed rendering External links:

Distributed rendering – V-Ray Tutorials


BitWrk – Distributed Rendering for Blender

Deterministic algorithm External links:

What is Deterministic Algorithm | IGI Global

deterministic algorithm


Global Arrays External links:

[PDF]Using global arrays to investigate internal-waves and …

Perl Access Global arrays – Stack Overflow

javascript – How to define Global Arrays? – Stack Overflow

Library Oriented Architecture External links:

Library Oriented Architecture –

Decentralized computing External links:

Institution-Wide Coordination of Decentralized Computing.

Adriaan van Wijngaarden External links:

Adriaan van Wijngaarden – The Mathematics Genealogy Project

Adriaan van Wijngaarden | Facebook