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Engineering optimization models at runtime for dynamically adaptive systems
School of Science and Engineering, Lahore, Pakistan.
School of Science and Engineering, Lahore, Pakistan.
Mälardalens högskola, Institutionen för samhällsteknik.ORCID-id: 0000-0003-4589-7045
Mälardalens högskola, Institutionen för samhällsteknik.ORCID-id: 0000-0001-5277-4567
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2010 (Engelska)Ingår i: Proceedings of the IEEE International Conference on Engineering of Complex Computer Systems, ICECCS, 2010, s. 253-254Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Dynamically adaptive systems (DAS), such as smart grids, cloud computing applications, sensor networks and P2P networks tend to change their structure at runtime. Therefore, design-time modeling for such systems are sometimes not enough for self-management. To this end, we have developed a dynamic mathematical modeling framework for runtime modeling for DAS. In this paper, we describe how our system engineers a linear programming model for self-optimization by using a smart-grid application for power distribution as a case-study. At runtime whenever, an optimization is desired this modeling framework captures the state of the system, converts it into an appropriate linear programming model, plan the changes using mathematical manipulations and apply the changes to the actual system. Our initial simulation results show that this framework is able to capture accurate runtime models of large power systems and is able to adapt itself with the change in the size or structure of the system by constructing a succinct model which is faster and more efficient than a design time model.

Ort, förlag, år, upplaga, sidor
2010. s. 253-254
Nyckelord [en]
Actual system, Computing applications, Design time, Engineering optimization, Grid applications, Large power systems, Linear programming models, Mathematical modeling, Modeling frameworks, P2P network, Power distributions, Runtime models, Runtimes, Self management, Self-optimization, Simulation result, Smart grid, System engineers, Time modeling, Adaptive systems, Cloud computing, Computer simulation, Linear programming, Models, Optimization, Peer to peer networks, Sensor networks, Smart power grids, Computer systems programming
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Identifikatorer
URN: urn:nbn:se:mdh:diva-20750DOI: 10.1109/ICECCS.2010.36ISI: 000410029700027Scopus ID: 2-s2.0-79952021468ISBN: 9780769540153 (tryckt)OAI: oai:DiVA.org:mdh-20750DiVA, id: diva2:642762
Konferens
15th IEEE International Conference on Engineering of Complex Computer Systems, ICECCS 2010, 22 March 2010 through 26 March 2010, Oxford
Tillgänglig från: 2013-08-23 Skapad: 2013-07-31 Senast uppdaterad: 2018-08-13Bibliografiskt granskad

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Wallin, FredrikVassileva, IanaDahlquist, Erik

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