Mapping Heavy Communication Grid-Based Workflows Onto Grid Resources Within an SLA Context Using Metaheuristics

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Abstract
Service Level Agreements (SLAs) are currently one of the major research topics in grid computing. Among many system components for SLA-related grid jobs, the SLA mapping mechanism has received widespread attention. It is responsible for assigning sub-jobs of a workflow to a variety of grid resources in a way that meets the user's deadline and costs as little as possible. With the distinguished workload and resource characteristics, mapping a heavy communication workflow within an SLA context gives rise to a complicated combinatorial optimization problem. This paper presents the application of various metaheuristics and suggests a possible approach to solving this problem. Performance measurements deliver evaluation results on the quality and efficiency of each method.

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