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HPDC
1998
IEEE

Matchmaking: Distributed Resource Management for High Throughput Computing

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Matchmaking: Distributed Resource Management for High Throughput Computing
Conventional resource management systems use a system model to describe resources and a centralized scheduler to control their allocation. We argue that this paradigm does not adapt well to distributed systems, particularly those built to support high-throughput computing. Obstacles include heterogeneity of resources, which make uniform allocation algorithms difficult to formulate, and distributed ownership, leading to widely varying allocation policies. Faced with these problems, we developed and implemented the classified advertisement (classad) matchmaking framework, a flexible and general approach to resource management in distributed environment with decentralized ownership of resources. Novel aspects of the framework include a semi-structured data model that combines schema, data, and query in a simple but powerful specification language, and a clean separation of the matching and claiming phases of resource allocation. The representation and protocols result in a robust, scalab...
Rajesh Raman, Miron Livny, Marvin H. Solomon
Added 04 Aug 2010
Updated 04 Aug 2010
Type Conference
Year 1998
Where HPDC
Authors Rajesh Raman, Miron Livny, Marvin H. Solomon
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