Fernández Cerero, DamiánFernández Montes González, AlejandroJakóbik, AgnieszkaKołodziej, JoannaToro Bonilla, Miguel2020-09-252020-09-252018Fernández Cerero, D., Fernández-Montes González, A., Jakóbik, A., Kołodziej, J. y Toro Bonilla, M. (2018). SCORE: Simulator for cloud optimization of resources andenergy consumption. Simulation Modelling Practice and Theory, 82 (march 2018), 160-173.1569-190Xhttps://hdl.handle.net/11441/101468Achieving efficiency both in terms of resource utilisation and energy consumption is acomplex challenge, especially in large-scale wide-purpose data centers that serve cloud- computing services. Simulation presents an appropriate solution for the development andtesting of strategies that aim to improve efficiency problems before their applications inproduction environments. Various cloud simulators have been proposed to cover differentaspects of the operation environment of cloud-computing systems. In this paper, we define the SCORE tool, which is dedicated to the simulation of energy-efficient monolithicand parallel-scheduling models and for the execution of heterogeneous, realistic and synthetic workloads. The simulator has been evaluated through empirical tests. The results ofthe experiments confirm that SCORE is a performant and reliable tool for testing energy- efficiency, security, and scheduling strategies in cloud-computing environments.application/pdf14engAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Data centerEnergy savingCloud computingEnergy-aware schedulinginfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccesshttps://doi.org/10.1016/j.simpat.2018.01.004