Dynamic Resource Allocation in Market Oriented Cloud Using Auction Method

Abstract

Cloud Computing provides low cost unlimited computing/storage service for the computing world. Market oriented cloud is a business technique for cloud customers for providing economical and low computing service based on customer demand. Market oriented cloud only focus on the business class users. In this paradigm customers directly interact with service provider and accessing services from the providers with expected cost and qualities. This paper focused on a better online marketing for the both customers and providers for resource allocation. Combinatorial auction with dynamic resource allocation is the main aspects of this paper for resource provisioning. Market oriented cloud computing mainly focused on Infrastructure as a Service (IaaS) layer. It also considers and an intelligent dynamic resource allocation based on the current market rate based on demand. The modified combinatorial double auction method used for detecting an honest cloud service consumers and cloud service providers. Optimal price detection and finding whose the winner of the auction is are the important steps in this method. Here modified Paddy Field Algorithm (PFA) is used for detecting a best consumer and provider. The rest results shows that the proposed system provides better service satisfaction and honest for the consumers and better financial benefit for the service providers.