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An Ant Colony Optimization Algorithm For The Composite SaaS Placement Problem In The Cloud Computing Environment

Posted on:2013-03-12Degree:MasterType:Thesis
Country:ChinaCandidate:X F PanFull Text:PDF
GTID:2248330377460526Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
In recent years, with the rapid development of information technology and networktechnology, cloud computing is concerned widely in the world. SaaS is one of the cloudcomputing models, and it provides application software through the Internet. In the modelof the SaaS, Software vendors will deploy application software on servers; customers canuse those soft through Internet on they actual demand, according to the number ofcustomized services and practical duration of the software rental fee payment to theprovider. With the rise of the SaaS model, the deployment of SaaS service components anddata files become a subject which is concerned by domestic and foreign scholars.SaaS components deployed on the servers which in the cloud environment.There twofactors are affecting the response time of SaaS: Deployment environment and Mutual visitsbetween SaaS’s components and data files. Firstly, this paper introduces the relevant theoryabout cloud computing and SaaS. Then, we analyze the deployment of the SaaS serviceProblem,and focusing on the two factors that affect the SaaS service response time, and amathematical model of the SaaS component deployment is built. Finally, we design analgorithm to solve the model. The theoretical analysis and experimental results show thatthe model can be deployed SaaS service components in the reality simulation.
Keywords/Search Tags:Software as a Service, SaaS placement, ant colony optimization
PDF Full Text Request
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