Matchmaking: distributed resource management for high.

Conventional resource management systems use a system model to describe resources and a centralized scheduler to control their allocation. We argue that th Matchmaking: distributed resource management for high throughput computing - IEEE Conference Publication.

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.

Conventional resource management systems use asys- tem model to describe resources and a centralized sched- uler to control their allocation. We argue that this paradigm does not adapt well to distributed systems, particularly those built to support high-throughput computing.

Matchmaking: Distributed Resource Management for High Throughput Computing. By Miron Livny.. The framework was designed to solve real problems encountered in the deployment of Condor, a high throughput computing system developed at the University of Wisconsin—Madison. Condor is heavily used by scientists at numerous sites around the world.

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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.

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.

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): 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.

Rajesh Raman, Miron Livny, Marvin H. Solomon Matchmaking: Distributed Resource Management for High Throughput Computing HPDC, 1998. HPDC 1998 DBLP Scholar DOI Full names Links ISxN.

One of the essential operations in a distributed computing is resource discovery. A resource discovery service provides mechanisms to identify the set of resources capable of satisfying the require.

The middleware in distributed computing coordinates a group of servers to accomplish a resource intensive task; however, without resource monitoring, the server selection algorithms will not be sophisticated enough to provide satisfying results at all time. This paper presents a smart TCP socket library using server workload feedback to improve selection techniques.