Grid computing: Difference between revisions

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* Plaszczak/Wellner<ref>P Plaszczak, R Wellner, ''Grid computing'', 2005, Elsevier/Morgan Kaufmann, San Francisco</ref> define grid technology as "the technology that enables resource virtualization, on-demand provisioning, and service (resource) sharing between organizations."

* IBM defines grid computing as “the ability, using a set of open standards and protocols, to gain access to applications and data, processing power, storage capacity and a vast array of other computing resources over the Internet. A grid is a type of parallel and distributed system that enables the sharing, selection, and aggregation of resources distributed across ‘multiple’ administrative domains based on their (resources) availability, capacity, performance, cost and users' quality-of-service requirements”.<ref>IBM Solutions Grid for Business Partners: Helping IBM Business Partners to Grid-enable applications for the next phase of e-business on demand</ref>

* An earlier example of the notion of computing as thea utility was in 1965 by MIT's Fernando Corbató. Corbató and the other designers of the Multics operating system envisioned a computer facility operating “like a power company or water company”.<ref>[http://www.multicians.org/fjcc3.html Structure of the Multics Supervisor] {{Webarchive|url=https://web.archive.org/web/20140116070940/http://www.multicians.org/fjcc3.html |date=2014-01-16 }}. Multicians.org. Retrieved 2013-09-18.</ref>

* Buyya/Venugopal<ref>{{cite web|url=http://www.buyya.com/papers/GridIntro-CSI2005.pdf|title=A Gentle Introduction to Grid Computing and Technologies|access-date=May 6, 2005|archive-date=March 24, 2006|archive-url=https://web.archive.org/web/20060324161402/http://www.buyya.com/papers/GridIntro-CSI2005.pdf|url-status=live}}</ref> define grid as "a type of parallel and distributed system that enables the sharing, selection, and aggregation of geographically distributed [[Wiktionary:autonomy|autonomous]] resources dynamically at runtime depending on their availability, capability, performance, cost, and users' quality-of-service requirements".