A two-level scheduler to dynamically schedule a stream of batch jobs in large-scale grids

Authors:
Marco Pasquali;Ranieri Baraglia;Gabriele Capannini;Laura Ricci;Domenico Laforenza
Affiliations:
Information Science and Technologies Institute, CNR, Pisa, Italy;Information Science and Technologies Institute, CNR, Pisa, Italy;Information Science and Technologies Institute, CNR, Pisa, Italy;Information Science and Technologies Institute, CNR, Pisa, Italy;Information Science and Technologies Institute, CNR, Pisa, Italy
Venue:
HPDC '08 Proceedings of the 17th international symposium on High performance distributed computing
Year:
2008

Citing 2
Cited 1

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IEEE Transactions on Parallel and Distributed Systems
A job scheduling framework for large computing farms

Proceedings of the 2007 ACM/IEEE conference on Supercomputing

A multi-level scheduler for batch jobs on grids

The Journal of Supercomputing

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Abstract

This paper describes the study conducted to design and evaluate a two-level on-line scheduler to dynamically schedule a stream of sequential and multi-threaded batch jobs on large scale grids, made up of interconnected clusters of heterogeneous machines. The scheduler aims to schedule arriving jobs respecting their computational and deadline requirements, and optimizing the utilization of hardware resources as well as software resources.