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Published in:
2016 | OriginalPaper | Chapter
Resource Management Using ANN-PSO Techniques in Cloud Environment
Authors : Narander Kumar, Pooja Patel
Published in: Proceedings of the International Congress on Information and Communication Technology
Publisher: Springer Singapore
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Abstract
In the cloud environment, multiple requests are coming from the client on the datacenters. We have to assign the resources to all the requests. In this paper, the main objective is to find out suitable mapping between requests and resources. To do this we are using the artificial neural network (ANN) with the PSO algorithm. In this algorithm input layer (client) sends request with some requirement. According to requirements we calculate the resources cost on the behalf of the three clusters namely high, medium, and low. Since ANN supports the parallel processing, so we can process all the requests whether they belong to high, medium, and low, hence we optimize the processing time and cost also. PSO algorithm works on the hidden layer as a scheduler. Since particle swarm ptimization (PSO) algorithm supports fast convergence and time constraints, etc. Therefore both techniques minimize the cost and increase the availability and the reliability as well as results show improved performance.