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2012 IEEE 17th International Conference on Engineering of Complex Computer Systems
A Control Theoretic Approach for Workflow Management
Paris, France France
July 18-July 20
ISBN: 978-1-4673-2156-3
This paper explores the performance of feedback control when managing workflows in computing systems. Industrial systems nowadays can consist of geographically diverse and heterogeneous high-performance computing (HPC) clusters. When scheduling workflows over such platforms, it is often desired to observe a number of real-time objectives such as meeting deadlines, reducing slacks, and increasing platform utilisation. We apply a control theoretic approach to address scheduling-related trade-offs of workflows that are executed in HPC platforms. Our results show that model predictive control-based admission controller is efficient for scheduling periodic workflows in a homogeneous HPC cluster with respect to minimum slacks and maximum CPU utilisation.
Index Terms:
Job shop scheduling,Mathematical model,Real time systems,Computational modeling,Processor scheduling,Optimization,Quality of service,linear quadratic regulator (LQR),High-performance computing (HPC),real-time systems,scheduling,quality-of-service (QoS),feedback control,multi-input-multi-output (MIMO),admission controller (AC),system identification,model predictive control (MPC)
Hashem Ali Ghazzawi, Iain Bate, Leandro Soares Indrusiak, "A Control Theoretic Approach for Workflow Management," iceccs, pp.280-289, 2012 IEEE 17th International Conference on Engineering of Complex Computer Systems, 2012
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