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A novel time computation model based on algorithm complexity for data intensive scientific workflow design and scheduling

引用

CONCURRENCY AND computation-PRACTICE & EXPERIENCE 2009年第16期21卷 2070-2083页

作者： He, Jing Zhang, Yanchun Huang, Guangyan Pang, Chaoyi Victoria Univ Sch Sci & Engn Melbourne Vic 8001 Australia Chinese Acad Sci Res Ctr Fictitious Econ & Data Sci Beijing 100190 Peoples R China

Scientific workflow offers a framework for cooperation between remote and shared resources on a grid computing environment (GCE) for scientific discovery. One major function of scientific workflow is to schedule a collection of computational subtasks in well-defined orders for efficient outputs by estimating task duration at runtime. In this paper, we propose a novel time computation model based on algorithm complexity (termed as TCMAC model) for high-level data intensive scientific workflow design. The proposed model schedules the subtasks based on their durations and the complexities of participant algorithms. Characterized by utilization of task duration computation function for time efficiency, the TCMAC model has three features for a full-aspect scientific workflow including both dataflow and control-flow: (1) provides flexible and reusable task duration functions in GCE;(2) facilitates better parallelism in iteration structures for providing more precise task durations;and (3) accommodates dynamic task durations for rescheduling in selective structures of control flow. We will also present theories and examples in scientific workflows to show the efficiency of the TCMAC model, especially for control-flow. Copyright (C) 2009 John Wiley & Sons, Ltd.

关键词： scientific workflow computation time model dataflow control-flow algorithm complexity

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A novel time computation model based on algorithm complexity for data intensive scientific workflow design and scheduling

A novel time computation model based on algorithm complexity...

引用

3rd International Workshop on Workflow Management and Applications in Grid Environments (WaGe2008)

关键词： scientific workflow computation time model dataflow control-flow algorithm complexity

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