A Scheduling Algorithm for Many-Task Computing Optimized for IO Contention in Heterogeneous Grid Environment
Computational and Information Sciences（2013）
摘要
Many-task computing (MTC) is a computing paradigm widely used in scientific area. Each MTC job consists of up to millions of independent tasks. The primary strategy of improving MTC efficiency is to execute different tasks on parallel computing resources. Some MTC applications are data-dependent. For such an application, some specified data resource is required by every task; hence access to the data resource is its performance bottleneck. To mitigate IO contention among tasks executed in parallel, this paper presents a scheduling algorithm. The experimental results show that our algorithm achieves better performance in both makespan and resource utilization when compared with other works.
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关键词
mtc efficiency,resource utilization,io contention,data resource,many-task computing,mtc application,heterogeneous grid environment,computing paradigm,mtc job,parallel computing resource,specified data resource,better performance,scheduling algorithm,schedules,parallel processing,resource allocation,makespan,scheduling,scheduling algorithms,resource management,data transfer,grid computing
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