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A Methodology for Eliciting and Ranking Control Points for Adaptive Systems

dc.contributor.advisorLitoiu, Marin
dc.creatorZoghi, Parisa
dc.date.accessioned2014-07-31T14:49:51Z
dc.date.available2014-07-31T14:49:51Z
dc.date.copyright2014-04-10
dc.date.issued2014-07-28
dc.date.updated2014-07-28T16:15:08Z
dc.degree.disciplineInformation Systems and Technology
dc.degree.levelMaster's
dc.degree.nameMA - Master of Arts
dc.description.abstractDesigning an adaptive system to meet its quality constraints in the face of environmental uncertainties, such as variable demands, can be a challenging task. In cloud environment, a designer has to also consider and evaluate different control points, i.e., those variables that affect the quality of the software system. This thesis presents a method for eliciting, evaluating and ranking control points for web applications deployed in cloud environments. The proposed method consists of several phases that take a high-level stakeholders' adaptation goal and transform it into lower level MAPE-K loop control points. The MAPE-K loop is then activated at runtime using an adaptation algorithm. We conducted several experiments to evaluate the different phases of the methodology and we report the results and the lesson learnt.en_US
dc.identifier.urihttp://hdl.handle.net/10315/27689
dc.language.isoenen_US
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectInformation technologyen_US
dc.subject.keywordsControl pointsen_US
dc.subject.keywordsAdaptive systemsen_US
dc.subject.keywordsDesignen_US
dc.subject.keywordsCloud computingen_US
dc.subject.keywordsPerformanceen_US
dc.titleA Methodology for Eliciting and Ranking Control Points for Adaptive Systemsen_US
dc.typeElectronic Thesis or Dissertation

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