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2003
ACM

Job Superscheduler Architecture and Performance in Computational Grid Environments

8 years 8 months ago
Job Superscheduler Architecture and Performance in Computational Grid Environments
Computational grids hold great promise in utilizing geographically separated heterogeneous resources to solve large-scale complex scientific problems. However, a number of major technical hurdles, including distributed resource management and effective job scheduling, stand in the way of realizing these gains. In this paper, we propose a novel grid superscheduler architecture and three distributed job migration algorithms. We also model the critical interaction between the superscheduler and autonomous local schedulers. Extensive performance comparisons with ideal, central, and local schemes using real workloads from leading computational centers are conducted in a simulation environment. Additionally, synthetic workloads are used to perform a detailed sensitivity analysis of our superscheduler. Several key metrics demonstrate that substantial performance gains can be achieved via smart superscheduling in distributed computational grids. c 2003 Association for Computing Machinery. AC...
Hongzhang Shan, Leonid Oliker, Rupak Biswas
Added 05 Jul 2010
Updated 05 Jul 2010
Type Conference
Year 2003
Where SC
Authors Hongzhang Shan, Leonid Oliker, Rupak Biswas
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