Cluster Computing

, Volume 19, Issue 4, pp 1787–1800

SOCCER: Self-Optimization of Energy-efficient Cloud Resources

  • Sukhpal Singh
  • Inderveer Chana
  • Maninder Singh
  • Rajkumar Buyya

DOI: 10.1007/s10586-016-0623-4

Cite this article as:
Singh, S., Chana, I., Singh, M. et al. Cluster Comput (2016) 19: 1787. doi:10.1007/s10586-016-0623-4


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.


Cloud computing Energy Resource scheduling Autonomic computing Self-optimization Green computing 

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Computer Science and Engineering DepartmentThapar UniversityPatialaIndia
  2. 2.CLOUDS Lab, Department of Computing and Information SystemsThe University of MelbourneMelbourneAustralia

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