Foundations of an autonomic manager for maintaining quality of service in enterprise data warehouses

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dc.contributor.authorOmondi, Allan O.
dc.contributor.authorAteya, Ismail L.
dc.contributor.authorWanyembi, Gregory N.
dc.date.accessioned2017-07-22T11:17:41Z
dc.date.available2017-07-22T11:17:41Z
dc.date.issued2017
dc.descriptionThe conference aimed at supporting and stimulating active productive research set to strengthen the technical foundations of engineers and scientists in the continent, through developing strong technical foundations and skills, leading to new small to medium enterprises within the African sub-continent. It also seeked to encourage the emergence of functionally skilled technocrats within the continent.en_US
dc.description.abstractData stored in an Enterprise Data Warehouse (EDW) is an essential asset to enterprises. Through efficient access to data (where efficiency is quantitatively measured in terms of speed), SMEs can enhance their growth, productivity, and global competitiveness. This can in turn lead to a positive impact on a country's Gross Domestic Product. The purpose of this paper is to present the building blocks required to maximize the speed of data access from EDWs in a self-adaptive manner. Reinforcement Learning (RL) in a fully observable, stochastic environment is proposed. The subsequent solution to a Markov Decision Process is highlighted as the core part of the RL.en_US
dc.description.sponsorshipStrathmore University; Institute of Electrical and Electronics Engineers (IEEE)en_US
dc.identifier.citationOmondi, A. O., Ateya, I. L., & Wanyembi, G. N. (2017). Foundations of an autonomic manager for maintaining quality of service in enterprise data warehouses. In Pan African Conference on Science, Computing and Telecommunications (PACT). Nairobi: Strathmore University. Retrieved from https://su-plus.strathmore.eduen_US
dc.identifier.urihttp://hdl.handle.net/11071/5195
dc.language.isoenen_US
dc.publisherStrathmore Universityen_US
dc.subjectAutonomic computingen_US
dc.subjectEnterprise data warehouseen_US
dc.subjectMarkov Decision Processen_US
dc.subjectMarkov Reward Processen_US
dc.subjectReinforcement learningen_US
dc.titleFoundations of an autonomic manager for maintaining quality of service in enterprise data warehousesen_US
dc.typeConference paperen_US
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Pan African Conference on Science, Computing and Telecommunications (PACT) 2017