Grid Economy

May 5th, 2015
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The growing computational power requirements of grand challenge applications has promoted the need for linking highperformance computational resources distributed across multiple organisations. This is fueled by the availability of the Internet as a ubiquitous commodity communication media, low cost high-performance machines such as clusters across multiple organisations, and the rise of scientific problems of multi-organisational interest.

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Grid EconomyAn Economy Driven Resource Management Architecture for Global Computational Power GridsRajkumar Buyya, David Abramson, and Jonathan GiddySchool of Computer Science and Software EngineeringMonash UniversityCaulfield Campus, Melbourne, AustraliaCRC for Enterprise Distributed Systems TechnologyUniversity of QueenslandSt. Lucia, Brisbane, AustraliaEmail: {rajkumar, davida, jon}@csse.monash.edu.auAbstractThe growing computational power requirements of grandchallenge applications has promoted the need for linking highperformance computational resources distributed across multiple organisations. This is fueled by the availability of the Internet as a ubiquitous commodity communication media,low cost high-performance machines such as clusters acrossmultiple organisations, and the rise of scientific problems of multi-organisational interest. The availability of expensive, special class of scientific instruments or devices and datasources in few organisations has increased the interest inoffering a remote access to these resources. The recentpopularity of coupling (local and remote) computationalresources, special class of scientific instruments, and data sources across the Internet for solving problems has led to the emergence of a new platform called Computational Grid. This paper identifies the issues in resource managementand scheduling driven by computational economy in theemerging grid computing context. They also apply to clus

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