Utility computing: Difference between revisions

Revision as of 08:58, 26 March 2021

Revision as of 22:40, 16 December 2022

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In the late 1990s utility computing re-surfaced. InsynQ, Inc. launched [on-demand] applications and desktop hosting services in 1997 using HP equipment. In 1998, HP set up the Utility Computing Division in Mountain View, CA, assigning former Bell Labs computer scientists to begin work on a computing power plant, incorporating multiple utilities to form a software stack. Services such as "IP billing-on-tap" were marketed. HP introduced the [[HP Utility Data Center|Utility Data Center]] in 2001. Sun announced the [[Sun Cloud]] service to consumers in 2000. In December 2005, [[Alexa Internet|Alexa]] launched Alexa Web Search Platform, a Web search building tool for which the underlying power is utility computing. Alexa charges users for storage, utilization, etc. There is space in the market for specific industries and applications as well as other niche applications powered by utility computing. For example, PolyServe Inc. offers a [[clustered file system]] based on commodity server and storage hardware that creates highly available utility computing environments for mission-critical applications including Oracle and Microsoft SQL Server databases, as well as workload optimized solutions specifically tuned for bulk storage, high-performance computing, vertical industries such as financial services, seismic processing, and content serving. The Database Utility and File Serving Utility enable IT organizations to independently add servers or storage as needed, retask workloads to different hardware, and maintain the environment without disruption.

In spring 2006 [[3tera]] announced its AppLogic service and later that summer Amazon launched [[Amazon EC2]] (Elastic Compute Cloud). These services allow the operation of general purpose computing applications. Both are based on [[Xen]] virtualization software and the most commonly used operating system on the virtual computers is Linux, though Windows and Solaris are supported. Common uses include web application, SaaS, image rendering and processing but also general-purpose business applications.

== See also ==