2. Resource Allocation in Cloud Computing Using Optimization Techniques

The aim of cloud computing is to provide utility based IT services by interconnecting a huge number of computers through a real-time communication network such as the Internet. Since many organizations are using cloud computing which are working in various fields, its popularity is growing. So, because of this popularity, there has been a significant increase in the consumption of resources by different data centres which are using cloud applications (Kennedy, Encyclopedia of Machine Learning, Springer, US, 2010 [1], Shi and Eberhart, IEEE International Conference on Evolutionary Computation Proceedings of World Congress on Computational Intelligence, 1998 [2], An-Ping and Chun-Xiang, Math. Probl. Eng. 8–15, 2014 [3], Dashti and Rahmani, J. Exp. Theor. Artif. Intell., 1–16, 2015 [4]). Hence, there is a need to discuss optimization techniques and solutions which will save resource consumption but there will not be much compromise on the performance. These solutions would not only help in reducing the excessive resource allocation, but would also reduce the costs without much compromise on SLA violations, thereby benefitting the Cloud service providers. In this chapter, we discuss on the optimization of resource allocation so as to provide cost benefits to the Cloud service users and Cloud service providers.