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Conference Paper: An information-theoretic model for resource-constrained systems

TitleAn information-theoretic model for resource-constrained systems
Authors
KeywordsAlgorithm
Optimal Entropies
Performance Evaluation
Resource-Constrained System
Issue Date2010
Citation
Conference Proceedings - Ieee International Conference On Systems, Man And Cybernetics, 2010, p. 4282-4287 How to Cite?
AbstractIn this paper, we study the performance of resource-constrained systems from the perspective of information theory. Such a system consists of many components which may contribute to the performance, but resource can only be allocated to some of them. We desire to allocate the limited resources effectively so as to maximize the system performance. Usually, we have incomplete information about the system or the system has inherent randomness. Even with the optimal allocation strategy according to the available (uncertain) information, we may not achieve the best system performance. We propose a model for the generic resource-constrained system and mathematically formulate the relationship between system uncertainty, characterized by entropy, and performance. Based on this result, we can determine how the system uncertainty quantitatively influences the performance. Examples of applications of the model to data storage and peer-to-peer file sharing are also given. ©2010 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/158679
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorGeng, Yen_US
dc.contributor.authorLam, AYSen_US
dc.contributor.authorLi, VOKen_US
dc.date.accessioned2012-08-08T09:00:49Z-
dc.date.available2012-08-08T09:00:49Z-
dc.date.issued2010en_US
dc.identifier.citationConference Proceedings - Ieee International Conference On Systems, Man And Cybernetics, 2010, p. 4282-4287en_US
dc.identifier.issn1062-922Xen_US
dc.identifier.urihttp://hdl.handle.net/10722/158679-
dc.description.abstractIn this paper, we study the performance of resource-constrained systems from the perspective of information theory. Such a system consists of many components which may contribute to the performance, but resource can only be allocated to some of them. We desire to allocate the limited resources effectively so as to maximize the system performance. Usually, we have incomplete information about the system or the system has inherent randomness. Even with the optimal allocation strategy according to the available (uncertain) information, we may not achieve the best system performance. We propose a model for the generic resource-constrained system and mathematically formulate the relationship between system uncertainty, characterized by entropy, and performance. Based on this result, we can determine how the system uncertainty quantitatively influences the performance. Examples of applications of the model to data storage and peer-to-peer file sharing are also given. ©2010 IEEE.en_US
dc.languageengen_US
dc.relation.ispartofConference Proceedings - IEEE International Conference on Systems, Man and Cyberneticsen_US
dc.subjectAlgorithmen_US
dc.subjectOptimal Entropiesen_US
dc.subjectPerformance Evaluationen_US
dc.subjectResource-Constrained Systemen_US
dc.titleAn information-theoretic model for resource-constrained systemsen_US
dc.typeConference_Paperen_US
dc.identifier.emailLi, VOK:vli@eee.hku.hken_US
dc.identifier.authorityLi, VOK=rp00150en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/ICSMC.2010.5642392en_US
dc.identifier.scopuseid_2-s2.0-78751506503en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-78751506503&selection=ref&src=s&origin=recordpageen_US
dc.identifier.spage4282en_US
dc.identifier.epage4287en_US
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridGeng, Y=36241631500en_US
dc.identifier.scopusauthoridLam, AYS=35322184700en_US
dc.identifier.scopusauthoridLi, VOK=7202621685en_US

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