A Probabilistic Approach to Distributed System Management

dc.contributor.authorSchauer, Randy
dc.contributor.authorJoshi, Anupam
dc.date.accessioned2018-11-14T20:42:54Z
dc.date.available2018-11-14T20:42:54Z
dc.date.issued2010-06-15
dc.descriptionProceedings of the Seventh International Conference on Autonomic Computingen_US
dc.description.abstractLarge-scale distributed systems are playing an increasing role in computational research, production operations, information processing, and application hosting. The continuous management of such systems is a critical consideration when focusing on reliability, availability, and security. As the number of commodity components within these systems continue to grow, it becomes increasingly difficult to track the multitude of parameters required to ensure optimal performance from the system, especially in those systems that have been built through expansion and not as an initial purchase of identical nodes. In this paper, we discuss the use of statistical inference, specifically Markov Logic Networks, in a distributed multi-agent system to provide the most effective means of managing these parameters. We showcase an architecture that provides services to manage a system’s configuration throughout its life-cycle, and is capable of resolving differences after identifying potential mis-configurations using conflict discovery and resolution modules.en_US
dc.description.urihttps://dl.acm.org/citation.cfm?id=1809063en_US
dc.format.extent2 pagesen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/M2P55DM5X
dc.identifier.citationRandy Schauer and Anupam Joshi, A Probabilistic Approach to Distributed System Management, Proceedings of the Seventh International Conference on Autonomic Computing, 2010, DOI -10.1145/1809049.1809063en_US
dc.identifier.uri10.1145/1809049.1809063
dc.identifier.urihttp://hdl.handle.net/11603/11991
dc.language.isoen_USen_US
dc.publisherACMen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectconfiguration managementen_US
dc.subjectdistributed systemsen_US
dc.subjecthigh performance computingen_US
dc.subjectmarkov logic networkingen_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleA Probabilistic Approach to Distributed System Managementen_US
dc.typeTexten_US

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