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Cluster Computing

Erschienen in:

01.12.2016

SOCCER: Self-Optimization of Energy-efficient Cloud Resources

verfasst von: Sukhpal Singh, Inderveer Chana, Maninder Singh, Rajkumar Buyya

Erschienen in: Cluster Computing | Ausgabe 4/2016

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Abstract

Cloud data centers often schedule heterogeneous workloads without considering energy consumption and carbon emission aspects. Tremendous amount of energy consumption leads to high operational costs and reduces return on investment and contributes towards carbon footprints to the environment. Therefore, there is need of energy-aware cloud based system which schedules computing resources automatically by considering energy consumption as an important parameter. In this paper, energy efficient autonomic cloud system [Self-Optimization of Cloud Computing Energy-efficient Resources (SOCCER)] is proposed for energy efficient scheduling of cloud resources in data centers. The proposed work considers energy as a Quality of Service (QoS) parameter and automatically optimizes the efficiency of cloud resources by reducing energy consumption. The performance of the proposed system has been evaluated in real cloud environment and the experimental results show that the proposed system performs better in terms of energy consumption of cloud resources and utilizes these resources optimally.

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Titel: SOCCER: Self-Optimization of Energy-efficient Cloud Resources
verfasst von: Sukhpal Singh
Inderveer Chana
Maninder Singh
Rajkumar Buyya
Publikationsdatum: 01.12.2016
Verlag: Springer US
Erschienen in: Cluster Computing / Ausgabe 4/2016
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-016-0623-4

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