SCORE: Simulator for cloud optimization of resources and energy consumption

被引：46

作者：

Fernandez-Cerero, Damian ^{[1
]}

Fernandez-Montes, Alejandro ^{[1
]}

Jakobik, Agnieszka ^{[2
]}

Kolodziej, Joanna ^{[3
]}

Toro, Miguel ^{[1
]}

机构：

[1] Univ Seville, Escuela Tecn Super Ingn Informat, Av Reina Mercedes S-N, E-41012 Seville, Spain

[2] Cracow Univ Technol, Inst Comp Sci, Warszawska 24, PL-31155 Krakow, Poland

[3] Res & Acad Comp Network NASK, Kolska 12, PL-01045 Warsaw, Poland

来源：

SIMULATION MODELLING PRACTICE AND THEORY | 2018年 / 82卷

关键词：

Data center; Energy saving; Cloud computing; Energy-aware scheduling; TOOLKIT;

D O I：

10.1016/j.simpat.2018.01.004

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Achieving efficiency both in terms of resource utilisation and energy consumption is a complex challenge, especially in large-scale wide-purpose data centers that serve cloud-computing services. Simulation presents an appropriate solution for the development and testing of strategies that aim to improve efficiency problems before their applications in production environments. Various cloud simulators have been proposed to cover different aspects 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 monolithic and parallel-scheduling models and for the execution of heterogeneous, realistic and synthetic workloads. The simulator has been evaluated through empirical tests. The results of the experiments confirm that SCORE is a performant and reliable tool for testing energy-efficiency, security, and scheduling strategies in cloud-computing environments. (c) 2018 Elsevier B.V. All rights reserved.

引用

页码：160 / 173

页数：14

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