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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
| ASCII Text | x | ||
| Hashem Ali Ghazzawi, Iain Bate, Leandro Soares Indrusiak, "A Control Theoretic Approach for Workflow Management," Engineering of Complex Computer Systems, IEEE International Conference on, pp. 280-289, 2012 IEEE 17th International Conference on Engineering of Complex Computer Systems, 2012. | |||
| BibTex | x | ||
| @article{ 10.1109/ICECCS.2012.2, author = {Hashem Ali Ghazzawi and Iain Bate and Leandro Soares Indrusiak}, title = {A Control Theoretic Approach for Workflow Management}, journal ={Engineering of Complex Computer Systems, IEEE International Conference on}, volume = {0}, year = {2012}, isbn = {978-1-4673-2156-3}, pages = {280-289}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICECCS.2012.2}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Engineering of Complex Computer Systems, IEEE International Conference on TI - A Control Theoretic Approach for Workflow Management SN - 978-1-4673-2156-3 SP280 EP289 A1 - Hashem Ali Ghazzawi, A1 - Iain Bate, A1 - Leandro Soares Indrusiak, PY - 2012 KW - Job shop scheduling KW - Mathematical model KW - Real time systems KW - Computational modeling KW - Processor scheduling KW - Optimization KW - Quality of service KW - linear quadratic regulator (LQR) KW - High-performance computing (HPC) KW - real-time systems KW - scheduling KW - quality-of-service (QoS) KW - feedback control KW - multi-input-multi-output (MIMO) KW - admission controller (AC) KW - system identification KW - model predictive control (MPC) VL - 0 JA - Engineering of Complex Computer Systems, IEEE International Conference on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICECCS.2012.2
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)
Citation:
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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