Actions for Job Superscheduler Architecture and Performance in Computational Grid Environments

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Job Superscheduler Architecture and Performance in Computational Grid Environments

Author
Shan, Hongzhang
Published
July 1, 2003.
Physical Description
1 electronic document
Additional Creators
Biswas, Rupak and Oliker, Leonid
Online Version

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Unclassified, Unlimited, Publicly available.
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Summary
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.
Other Subject(s)
Collection
NASA Technical Reports Server (NTRS) Collection.
Note
Document ID: 20030111816.
SC2003; 15-21 Nov. 2003; Phoenix, AZ; United States.
Terms of Use and Reproduction
No Copyright.
View MARC record | catkey: 15966185