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Ahmad, Bilal, Maroof, Zaib, Mcclean, Sally, Charles, Darryl and Parr, Gerard 
ORCID: https://orcid.org/0000-0002-9365-9132
(2020)
Economic impact of energy saving techniques in cloud server.
Cluster Computing, 23 (2).
611–621.
ISSN 1386-7857
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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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | dynamic frequency scaling,economic impact,energy saving technique,quality of service,service level agreement,static threshold and non-power aware technique,software,computer networks and communications,sdg 7 - affordable and clean energy ,/dk/atira/pure/subjectarea/asjc/1700/1712 |
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Smart Emerging Technologies Faculty of Science > Research Groups > Cyber Security Privacy and Trust Laboratory Faculty of Science > Research Groups > Data Science and AI |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 11 Jun 2019 10:35 |
| Last Modified: | 10 Dec 2024 01:33 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/71311 |
| DOI: | 10.1007/s10586-019-02946-w |
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