Reducing the impact of network latency in cloud computing environment using energy consumption load balance scheduling mechanism

Abstract

Cloud Computing is one of the modern technologies in which the research Society has shown their interest. In this thesis, we have discussed about Latencies and what are the impacts of latencies on the Cloud Computing environment. A new design is proposed. The proposed design reduced the impact disturbing the cloud computing service. So that it improved the Communication speed in cloud-based service, and minimize the processing delay. To conduct this thesis, we followed the methodology which includes determining design strategy for the study including a proposed design, defining the deliverables. The requirements to this study were: developing the load balancing mechanism using energy consumption load scheduling method and developing evaluation tool to measure the performance of the resulting the proposed design. Thus, the instruments used to develop the knowledge base to the study requirements were review of relevant literature including similar studies and implementing the proposed design using cloudsim simulator. The thesis work is discussed and presented in table and graph format because it is important to understand the communication delay. so that results are compared between the existing cloud computing and the proposed one to show the latency difference The time taken to process a request in every server of the proposed cloud was less than every server of the existing cloud. This indicated that its response time is low and resulting less communication delay comparing with the existing cloud. In the proposed cloud, Server1 consumed less energy than of Server2, 3 and 4 based energy consumption calculation. Since server 4 needs high energy, the load given to it would move to server 1 compared to the others which is presented in the table. The proposed cloud computing used energy consumption load scheduling mechanism which helped to distribute the loads based on energy consumption of the servers. So, the mechanism helped proposed cloud computing to have less communication delay. Therefore, both having less response time and distributing the loads using servers‘ energy consumption lead to have reduced latency