Abstract
In recent years, lot of research has been carried in the field of cloud computing and distributed systems to investigate and understand their performance. Economic impact of energy consumption is of major concern for major companies. Cloud Computing companies (Google, Yahoo, Gaikai, ONLIVE, Amazon and eBay) use large data centers which are comprised of virtual computers that are placed globally and require a lot of power cost to maintain. Demand for energy consumption is increasing day by day in IT firms. Therefore, Cloud Computing companies face challenges towards the economic impact in terms of power costs. Energy consumption is dependent upon several factors, e.g., service level agreement, virtual machine selection techniques, optimization policies, workload types etc. We address a solution for the energy saving problem by enabling dynamic voltage and frequency scaling technique for gaming data centers. The dynamic voltage and frequency scaling technique is compared against non-power aware and static threshold detection techniques. This helps service providers to meet the quality of service and quality of experience constraints by meeting service level agreements. The CloudSim platform is used for implementation of the scenario in which game traces are used as a workload for testing the technique. Selection of better techniques can help gaming servers to save energy cost and maintain a better quality of service for users placed globally. The novelty of the work provides an opportunity to investigate which technique behaves better, i.e., dynamic, static or non-power aware. The results demonstrate that less energy is consumed by implementing a dynamic voltage and frequency approach in comparison with static threshold consolidation or non-power aware technique. Therefore, more economical quality of services could be provided to the end users.
Highlights
Cloud Computing is growing day by day with the development of IT services
The reasoning behind the service level agreement violations (SLAV) time per active hosts is based on the observation that if there is an application that is managing the virtual machine migrations and it is busy with a host that has 100% utilization, it will not be able to address other hosts waiting for service provisioning
The results prove that quality of service is directly proportional to service level agreements, i.e., if QoS is not observed for a certain amount of time we have SLA violation
Summary
Cloud Computing is growing day by day with the development of IT services. The reason for this development is cost effectiveness and quality of experience from user’s perspective. Along with provisioning of better quality of service cloud providers can scramble towards more profits by saving resources e.g. energy, bandwidth consumption etc. Cloud Computing has unmatchable advantages to its predecessors because of technological advancements, e.g., virtualization, storage, processing, memory, performance, low cost, ease of excess, mobility, high expansibility, reliability, and fast bandwidth etc These advancements and innovations in the field of cloud technology provisions the industries to have unlimited computational power while maintaining good quality of service (QoS). Most cloud computing platforms are software based as it is very difficult and expensive to set a cloud server for test and trials purposes for each researcher It is practically difficult for a researcher to use a data server consisting of 200 physical machines because of maintenance costs, (e.g., energy, space, expense, power, and cooling requirements) [6].
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