Computational resources have become cheaper, more powerful and accessible than ever with the development of processing and strong technology and internet success. This technology has realized a new computing model called cloud computing in which resources are provided as a service to users and users can rent them or rent of them based on their demands. One of the problems with cloud computing is related to optimizing the allocated resources. Resource allocation is done with the aim of minimizing costs, times and due to the uniqueness of model. In this paper, one double combinatorial auction based resource allocation approach has been proposed. The purpose of this study is to allocate economic resources in a way that lead to increase social welfare. Resource allocation in double combinatorial auction includes two phases. These two phases are winner determination and resource allocation. The proposed approach implement ICA for winner determination and genetic algorithm for resource allocation and payment Schemes .we name this algorithm as IG. The experimental results showed that our proposed algorithm improves the profits of providers and users and works well than other algorithms in the term of increasing providers' profit.
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There are many different ways to allocate resources in cloud computing. The economic methods are some of common ways to resource allocation. The auction-based method has some advantages compared with Fixed-Price method. The double combinatorial auction is one of the proper ways of resource allocation in cloud computing. Resource allocation in double combinatorial auction includes two phases. These two phases are winner determination and resource allocation. The proposed algorithm has implemented ICA to determine winner in double combinatorial auction-based resource allocation. The experimental results showed that in proposed algorithm the number of winner users is higher in proposed algorithm, but the number of winner providers is higher in genetic algorithm.
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