Abstract

Resources in distributed infrastructure such as the grid are typically autonomously managed and shared across a distributed set of end users. These characteristics result in a fundamental conflict: resource providers optimize for throughput and utilization which coupled with a stochastic multiuser workload results in nondeterministic best effort service for any one application. This conflicts with the user who wants to optimize end-to-end application performance but is constrained by the best effort service offering. Resource reservations can be used to obtain more predictable application behaviors but they are generally not allowed due to perceived impact on the other users and overall resource utilization. In this paper, we examine two strategies for integrating reservations within the resource management fabric that address these concerns by either minimizing the adverse impact of a reservation on the other users or …

Date

February 10, 2009

Authors

Gurmeet Singh, Carl Kesselman, Ewa Deelman

Journal

IEEE Systems Journal

Volume

3

Issue

1

Pages

25-48

Publisher

IEEE