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Grid Scheduling: Methods, Algorithms, and Optimization Techniques

Grid Scheduling: Methods, Algorithms, and Optimization Techniques

Florin Pop
Copyright: © 2012 |Pages: 26
ISBN13: 9781613501139|ISBN10: 1613501137|EISBN13: 9781613501146
DOI: 10.4018/978-1-61350-113-9.ch004
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MLA

Pop, Florin. "Grid Scheduling: Methods, Algorithms, and Optimization Techniques." Computational and Data Grids: Principles, Applications and Design, edited by Nikolaos Preve, IGI Global, 2012, pp. 86-111. https://doi.org/10.4018/978-1-61350-113-9.ch004

APA

Pop, F. (2012). Grid Scheduling: Methods, Algorithms, and Optimization Techniques. In N. Preve (Ed.), Computational and Data Grids: Principles, Applications and Design (pp. 86-111). IGI Global. https://doi.org/10.4018/978-1-61350-113-9.ch004

Chicago

Pop, Florin. "Grid Scheduling: Methods, Algorithms, and Optimization Techniques." In Computational and Data Grids: Principles, Applications and Design, edited by Nikolaos Preve, 86-111. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-61350-113-9.ch004

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Abstract

This chapter will present the scheduling mechanism in distributed systems with direct application in grids. The resource heterogeneity, the size and number of tasks, the variety of policies, and the high number of constraints are some of the main characteristics that contribute to this complexity. The necessity of scheduling in grid is sustained by the increasing of number of users and applications. The design of scheduling algorithms for a heterogeneous computing system interconnected with an arbitrary communication network is one of the actual concerns in distributed system research. The main concerns presented in the chapter refers to general presentation of scheduling for grid systems, specific requirements of scheduling in grids, critical analysis of existing methods and algorithms for grid schedulers, scheduling policies, fault tolerance in scheduling process in grid environments, scheduling models and algorithms and optimization techniques for grid scheduling.

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