A decentralized strategy for genetic scheduling in heterogeneous environments

Authors:
George V. Iordache;Marcela S. Boboila;Florin Pop;Corina Stratan;Valentin Cristea
Affiliations:
Computer Science Department, University Politehnica of Bucharest, Romania;Computer Science Department, University Politehnica of Bucharest, Romania;Computer Science Department, University Politehnica of Bucharest, Romania;Computer Science Department, University Politehnica of Bucharest, Romania;Computer Science Department, University Politehnica of Bucharest, Romania
Venue:
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part II
Year:
2006

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Abstract

The paper describes a solution to the key problem of ensuring high performance behavior of the Grid, namely the scheduling of activities It presents a distributed, fault-tolerant, scalable and efficient solution for optimizing task assignment The scheduler uses a combination of genetic algorithms and lookup services for obtaining a scalable and highly reliable optimization tool The experiments have been carried out on the MonALISA monitoring environment and its extensions The results demonstrate very good behavior in comparison with other scheduling approaches.