Power Optimisation Model for Leveraging Cloud System

Ogechukwu Okonor, Mo Adda, Alex Geogov

Research output: Contribution to conferencePaperpeer-review


Cloud computing is an emerging technology that has significantly increased over the years due to an increase in the number of internet users and its numerous benefits. It is a technology that leverages cost and considers locational challenges. The emergence of cloud computing has brought innovation and hope to many under-developed countries with less skilled workforce, limited resources, and unstable electricity supply. Although this technology is transforming information technology, it still faces some significant challenges like high energy consumption rate, confusion in adoption methods and security issues. The focus of this paper is on reducing the problems with ambiguity in data center structure and its power usage by simplifying how the application works and then providing a holistic approach to minimising its power usage rate. This paper minimizes the energy utilization of the cloud data center using an intelligent method to shut down, schedule and monitor the entire cloud system. Additionally, observing the complexity of the cloud system design, a holistic approach to calculating and measuring the precise amount of power usage during each operational cycle is vital to achieving a more efficient data centre energy model. This work proposes an improved energy model that calculates, in detail, the energy usage of the system by focusing on each system component and its contribution to the high energy consumption level of the data centre. Furthermore, the proposed model is then used to develop an algorithm that minimises the power usage in the cloud environment to an optimal low level while maintaining a high level of service level agreement. The result obtained from this experiment shows that the developed model removed a high level of obscurity in the issue of the cause of high energy consumption in the data center and thereby encouraged cloud providers to act accordingly in reducing the effect.
Original languageEnglish
Publication statusPublished - 27 Feb 2002

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