Bullfighting extreme scenarios in efficient hyper-scale cluster computing
- PDF / 1,158,217 Bytes
- 17 Pages / 595.276 x 790.866 pts Page_size
- 13 Downloads / 156 Views
(0123456789().,-volV)(0123456789(). ,- volV)
Bullfighting extreme scenarios in efficient hyper-scale cluster computing Damia´n Ferna´ndez-Cerero1 • Francisco J. Ortega-Irizo2 • Alejandro Ferna´ndez-Montes1 Francisco Velasco-Morente2
•
Received: 24 October 2019 / Revised: 20 February 2020 / Accepted: 9 March 2020 Ó Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Data centres are quickly evolving to support new demands for Cloud-Computing services. Extreme workload peaks represent a challenge for the maintenance of the performance and service level agreements, even more when operation costs need to be minimised. In this paper, we first present an extensive analysis of the impact of extreme workloads in large-scale realistic Cloud-Computing data centres, including a comparison between the most relevant centralised resourcemanaging models. Moreover, we extend our previous works by proposing a new energy-efficiency policy called Bullfighter which is able to keep performance key performance indicators while reducing energy consumption in extreme scenarios. This policy employs queue-theory distributions to foresee workload demands and adapt automatically to workload fluctuations even in extreme environments, while avoiding the fine-tuning required for other energy policies. Finally, it is shown through extensive simulation that Bullfighter can save more than 40% of energy in the aforementioned scenarios without exerting any noticeable impact on data-centre performance. Keywords Energy policies Efficiency Data centre Simulation software Decision making
1 Introduction Sustainability is one of the major economic issues of the last decade, and still researchers are encouraged to keep energy consumption as low as possible in all domains, specially in production industries. Information Technology Electronic supplementary material The online version of this article (https://doi.org/10.1007/s10586-020-03094-2) contains supplementary material, which is available to authorized users. & Alejandro Ferna´ndez-Montes [email protected] Damia´n Ferna´ndez-Cerero [email protected] Francisco J. Ortega-Irizo [email protected] Francisco Velasco-Morente [email protected] 1
Department of Computer Languages and Systems, University of Seville, 41012 Seville, Spain
2
Department of Applied Economy I, University of Seville, 41018 Seville, Spain
industries should be one of the leaders in this context, as the evolution and development of its infrastructures have a very short life cycle, enabling researchers to propose new methodologies and strategies to lead the sustainability requirements. Minimisation of energy consumption is one of the main areas of work to reduce costs and preserve environmental sustainability. Cloud computing paradigm has led to a new scenario where each of this infrastructures are as energy greedy as traditional industrial factories and small towns. Data centres constitute the computational and storage core for cloud computing. The latest tendencies show that data centres account for approximate
Data Loading...
