Optimization of Resource Allocation Strategy in Cloud Computing

Abstract

The first chapter gives the introduction of the cloud technology. It has detailed discussion of the cloud service models (IaaS, PaaS, SaaS) and cloud deployment model. newlineIn chapter two the contributions of different researcher have been discussed in the area of resource allocation in the cloud environment. This chapter is divided into to two parts nature independent and nature inspired strategy. newlineIn chapter three the objectives of the research have been discussed. It provides details view of the proposed research. The detailed architecture of these simulating environments has been discussed in this chapter. newlineChapter four discuss the different parameters considered in different resource allocation strategies (like Execution Time, Policy, Virtual Machine, Utility).The comparative study also has been done between nature independent strategy and nature inspired policies. newlineFifth chapter focuses on the multiple objectives to implement in the cloud environment. Makespan, energy, cost, time of execution, priority, replication, non-preemption and QoS are the major objectives are discussed in this chapter. The proposed algorithm is implemented with CloudSim and compared with different nature independent strategy. newlineIn this chapter PSO algorithm has been discussed in detailed. All variance of PSO used in resource allocation have been elaborated in this chapter. The optimized nature independent strategy is amalgamated with PSO and converted in MRAMPSO algorithm. The comparison chart is also displayed and analyzed. newlineFinally seventh chapter is a conclusion of research work. The future extension of proposed research work has been proposed in this chapter. The recommendation is done as per the findings of research work. newline newline