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Capacity planning for Web based application

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dc.contributor.advisor Prof. R. Sadananda (Chairperson) en_US
dc.contributor.advisor Prof. Huynh Ngoc Phien (Member) en_US
dc.contributor.advisor Dr. Francis Jawahar Devadason (Member) en_US
dc.contributor.author Tserenbat, Baljinnyam en_US
dc.date December 2000 en_US
dc.date.accessioned 2015-01-12T10:39:21Z
dc.date.available 2015-01-12T10:39:21Z
dc.identifier.other AIT Thesis no.CS-00-29 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/207
dc.description 63 leaves en_US
dc.description.abstract Bayesian belief networks have proven to be an effective technique for representing and reasoning with uncertain knowledge. A Bayesian network is a graphical representation of a probability distribution. Therefore statistical techniques can be used to construct Bayesian networks from data. This thesis presents a Bayesian network model of the hydrogen peroxide production process. The purpose of the model is to aid in controlling the process in order to maximize production. The quantity of hydrogen peroxide produced is a function of the relative concentration of the components of the working solution. But measuring these components takes an inordinate amount of time. Therefore, the a Bayesian network was build that can estimate the concentrations of the solution components based on quantities that can be easily measured during production. The network was built using four and a half years of data from one particular production plant. A user interface was constructed that permits the user to enter observations and in response suggests adjustments to the concentrations of the working solution components. The interface is domain specific and does not require the user to have any knowledge of Bayesian networks. The model is empirically evaluated by comparing the predictions to actual values for 60 days of readings. en_US
dc.description.sponsorship Asian Development Bank en_US
dc.relation.ispartof Asian Institute of Technology. Thesis no. CS-00-29 en_US
dc.relation.ispartof Thesis no. CS-00-29 en_US
dc.source SAT/CS en_US
dc.subject Web servers en_US
dc.title Capacity planning for Web based application en_US
dc.type Thesis en_US


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