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SCORE: Simulator for cloud optimization of resources andenergy consumption

Authors :
Fernández Cerero, Damián
Fernández-Montes González, Alejandro
Jakóbik, Agnieszka
Kołodziej, Joanna
Toro Bonilla, Miguel
Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
European Cooperation in Science and Technology (COST)
Source :
idUS. Depósito de Investigación de la Universidad de Sevilla, instname, idUS: Depósito de Investigación de la Universidad de Sevilla, Universidad de Sevilla (US)
Publication Year :
2018
Publisher :
Elsevier, 2018.

Abstract

Achieving 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. European Cooperation in Science and Technology (COST) COST Action IC1406

Details

Language :
English
Database :
OpenAIRE
Journal :
idUS. Depósito de Investigación de la Universidad de Sevilla, instname, idUS: Depósito de Investigación de la Universidad de Sevilla, Universidad de Sevilla (US)
Accession number :
edsair.dedup.wf.001..9f9aff5c18f7f828791545d3f3d19f32