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Computational models and heuristic methods for Grid scheduling problems

Xhafa, Fatos and Abraham, A. (2010) Computational models and heuristic methods for Grid scheduling problems. Future Generation Computer Systems 26 (4), 608 - 621. ISSN 0167-739X.

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Official URL: http://dx.doi.org/10.1016/j.future.2009.11.005

Abstract

In this paper we survey computational models for Grid scheduling problems and their resolution using heuristic and meta-heuristic approaches. Scheduling problems are at the heart of any Grid-like computational system. Different types of scheduling based on different criteria, such as static versus dynamic environment, multi-objectivity, adaptivity, etc., are identified. Then, heuristic and meta-heuristic methods for scheduling in Grids are presented. The paper reveals the complexity of the scheduling problem in Computational Grids when compared to scheduling in classical parallel and distributed systems and shows the usefulness of heuristic and meta-heuristic approaches for the design of efficient Grid schedulers. We also discuss on requirements for a modular Grid scheduling and its integration with Grid architecture.

Item Type: Article
Keyword(s) / Subject(s): Grid computing, scheduling, independent scheduling, multi-objective optimization, heuristics, meta-heuristics
School or Research Centre: Birkbeck Schools and Research Centres > School of Business, Economics & Informatics > Computer Science and Information Systems
Depositing User: Administrator
Date Deposited: 26 Jul 2011 14:31
Last Modified: 17 Apr 2013 12:21
URI: http://eprints.bbk.ac.uk/id/eprint/3857

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