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Grid computing: History, Works, Standards & Applications

Grid computing is the use of widely distributed computer resources to reach a common goal. A computing grid can be thought of as a distributed system with non-interactive workloads that involve many files. Grid computing is distinguished from conventional high-performance computing systems such as cluster computing in that grid computers have each node…

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Grid computing topic overview

The analysis highlights History, Works, Standards and Applications as prominent areas in the source structure around Grid computing. 2 topics appear in more than one source area, which can help identify connections that are less obvious in a linear reading.

Related topics
137
Source areas
14
Connected nodes
164
Extracted relationships
57
Related term clusters
65
Bridge connections
164

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Projects and applications · 28 topics
Overview · 23 topics
History · 14 topics
National projects · 12 topics
Design considerations and variations · 11 topics
Fastest virtual supercomputers · 9 topics
Standards and APIs · 9 topics
Market segmentation of the grid computing market · 8 topics
Production grids · 8 topics
Comparison of grids and conventional supercomputers · 5 topics
Alliances and organizations · 4 topics
Related concepts · 4 topics
CPU scavenging · 3 topics
Monitoring frameworks · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

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Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Comparison of grids and conventional supercomputers

Design considerations and variations

Market segmentation of the grid computing market

CPU scavenging

History

Fastest virtual supercomputers

Projects and applications

Related concepts

Alliances and organizations

Production grids

National projects

Standards and APIs

Monitoring frameworks

Bibliography

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Grid computing connects Entity context

The extracted context around Grid computing shows recurring relationship patterns in the source. For example, Grid computing → Berkeley Open Infrastructure, BOINC, CERN, Folding, Grand Challenge, Grid, Grids, Large Hadron Collider, Network Computing, October, One, SETI, TFLOPS, World Community Grid Another extracted example is Grid computing → Buyya/Venugopal, Computing, Corbató, Grid, Ian Foster, IBM, Internet, MIT's Fernando Corbató, Multics, Nontrivial, Open, Plaszczak/Wellner, Three Point Checklist, Today. Use these groups to spot repeated connection types before inspecting the individual relationships.

Grid computing

Top relations

has application · 14
Grid computing → Berkeley Open Infrastructure, BOINC, CERN, Folding, Grand Challenge, Grid, Grids, Large Hadron Collider, Network Computing, October, One, SETI, TFLOPS, World Community Grid
related to Definitions · 14
Grid computing → Buyya/Venugopal, Computing, Corbató, Grid, Ian Foster, IBM, Internet, MIT's Fernando Corbató, Multics, Nontrivial, Open, Plaszczak/Wellner, Three Point Checklist, Today
related to history · 8
Grid computing → Blueprint, Carl Kesselman, CPU, CPU-intensive, Ian Foster, PCs, SETI, The Grid
related to Progress · 8
Grid computing → Edward Seidel, Florida, Grid, HPC, In November, Sidney Fernbach Award, Supercomputing Conference, Tampa
related to Comparison of grids and conventional supercomputers · 3
Grid computing → CPUs, Distributed, Internet
is a · 1
Grid computing → use of widely distributed computer resources to reach a common goal
related to The user side · 1
Grid computing → The IT

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

grid computing network distributed resources applications grids system computers utility also computer infrastructure pdf power ibm many original may middleware

Grid computing relationships Subject–Predicate–Object triples

TTTA extracted 57 structured relationships around Grid computing. Examples in this analysis include Grid computing → is a → use of widely distributed computer resources to reach a common goal and cluster computing in that grid computers have each node set to perform a different task/application → instance of → Grid computing is distinguished from conventional high-performance computing systems. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Grid computingis ause of widely distributed computer resources to reach a common goal0.90text
cluster computing in that grid computers have each node set to perform a different task/applicationinstance ofGrid computing is distinguished from conventional high-performance computing systems0.80text
placing applications in virtual machines.Public systems or those crossing administrative domainsinstance ofnodes must place in the central system0.80text
protein foldinginstance ofProjects and applicationsGrid computing offers a way to solve Grand Challenge problems0.80text
financial modelinginstance ofProjects and applicationsGrid computing offers a way to solve Grand Challenge problems0.80text
earthquake simulationinstance ofProjects and applicationsGrid computing offers a way to solve Grand Challenge problems0.80text
and climate/weather modelinginstance ofProjects and applicationsGrid computing offers a way to solve Grand Challenge problems0.80text
and was integral in enabling the Large Hadron Collider at CERNinstance ofProjects and applicationsGrid computing offers a way to solve Grand Challenge problems0.80text
the simulation of oncological clinical trials.The distributed.net project was started in 1997instance ofThe European Grid Infrastructure has been also used for other research activities and experiments0.80text
Grid computinghas applicationGrid0.60section
Grid computinghas applicationGrand Challenge0.60section
Grid computinghas applicationLarge Hadron Collider0.60section

Related concept clusters Related term clusters

The concept neighborhoods around Grid computing bring nearby vocabulary together. In this analysis, examples include Grid, Distributed and Infrastructure. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Grid computing
    • Grid
    • Distributed
    • Infrastructure
    • Applications
    • Resources
    • Al
    • Et
    • Services
    • Power
    • System
    • Middleware
    • Computers
  • grid computing
    • Grid
    • Distributed
    • Resources
    • Power
    • Utility
    • Infrastructure
    • Applications
    • Market
    • Network
    • Computers
    • Al
    • Et
  • distributed system
    • Resources
    • Power
    • Grids
    • System
    • Applications
    • Information
    • Network
    • Computers
    • Grid
    • Conventional
    • Public
    • Projects
  • distributed computing
    • Grid
    • Resources
    • Power
    • Distributed
    • Grids
    • System
    • Utility
    • Applications
    • Information
    • Market
    • Network
    • Computers
  • parallel computing
    • Grid
    • Distributed
    • Resources
    • Power
    • Utility
    • Applications
    • Market
    • Network
    • Computers
    • Technology
    • Services
    • Grids
  • volunteer computing
    • Grid
    • Distributed
    • Resources
    • Power
    • Utility
    • Applications
    • Market
    • Network
    • Computers
    • Technology
    • Services
    • Grids
  • grid workflow
    • Infrastructure
    • Applications
    • Resources
    • Al
    • Et
    • Services
    • Power
    • System
    • Middleware
    • Computers
    • Also
    • Grids
  • utility computing
    • Grid
    • Market
    • Distributed
    • Resources
    • Computing
    • Power
    • Utility
    • Applications
    • Network
    • Computers
    • Information
    • Services

Connections between topic areas Semantic bridges

For Grid computing, one of the stronger structural bridges in this analysis connects Grid computing with Projects and applications. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Grid computing — Projects and applications · splits 136 ⟂ 29
Grid computing — Overview · splits 141 ⟂ 24
Grid computing — History · splits 150 ⟂ 15
Grid computing — National projects · splits 152 ⟂ 13
Grid computing — Design considerations and variations · splits 153 ⟂ 12
Grid computing — Bibliography · splits 154 ⟂ 11
Grid computing — Fastest virtual supercomputers · splits 155 ⟂ 10
Grid computing — Standards and APIs · splits 155 ⟂ 10
Grid computing — Market segmentation of the grid computing market · splits 156 ⟂ 9
Grid computing — Production grids · splits 156 ⟂ 9
Grid computing — Comparison of grids and conventional supercomputers · splits 159 ⟂ 6
Grid computing — Related concepts · splits 160 ⟂ 5
Grid computing — Alliances and organizations · splits 160 ⟂ 5
Grid computing — CPU scavenging · splits 161 ⟂ 4

Map overview Semantic statistics

Grid computing

Nodes165
Edges164
Triples57
Avg. degree1.99
Density0.012121
Components1

Source & methodology

TTTA analyzes the structure around Grid computing to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Works, Standards & Applications, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Grid computing · EN edition · Analysis: TopicsToTalkAbout

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