Abstract: In recent times mobile applications are increasingly used by people in their day to day life for not only as a tool for convenient communication but also mobile users use various services from mobile applications such as google apps, iPhone apps etc. which either run on the device or on remote server. In MCC each mobile user demands certain level of quality of service (QOS) while they request some services from the cloud. Each mobile user is associated with its interfacing gateway to communicate with the cloud. Bandwidth allocation to these mobile users is a challenging task. As the nodes are mobile in MCC bandwidth shifting is necessary for ensuring QOS guarantee to the mobile nodes. For maintaining QOS guarantee bandwidth shifting alone is not sufficient hence proper redistribution of bandwidth is also necessary because of protocol overhead and spectral efficiency associated with its channel. Bandwidth redistribution problem in MCC is solved by descending bid auction. In proposed scheme named as AQUMR (auction based quality of service guaranteed utility maximization and revenue maximization ) each gateway sums the demands of all the mobile nodes connected to it and submits a bid for the required amount of bandwidth from cloud service provider(CSP). Each gateway maximizes its revenue during the auction process by introducing competition between gateways by setting the demand at different ranges using fuzzy auctioning.
Keywords: Cloud service provider, Mobile cloud computing, Quality of service, Bandwidth shifting, Bandwidth Redistribution, fuzzy auctioning.
Title: Auction Based Bandwidth Allocation with Revenue Maximization for Achieving QOS in Mobile Cloud Environment
Author: Ms. Shalini Pawar N, Mr. Mahesh D.S
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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