Energy Aware GSA-Based Load Balancing Method in Cloud Computing Environment

  • Vijayakumar Polepally
  • K. Shahu Chtrapati
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 705)


Cloud computing environment is based on a pay-as-you-use model, and it enables hosting of prevalent applications from scientific, consumer, and enterprise domains. Cloud data centers consume huge amounts of electrical energy, contributing to high operational costs to the organization. Therefore, we need energy efficient cloud computing solutions that cannot only minimize operational costs but also ensures the performance of the system. In this paper, we define a framework for energy efficient cloud computing based on nature inspired meta-heuristics, namely gravitational search algorithm. Gravitational search algorithm is an optimization technique based on Newton’s gravitational theory. The proposed energy-aware virtual machine consolidation provision data center resources to client applications improve energy efficiency of the data center with negotiated quality of service. We have validated our approach by conducting a performance evaluation study, and the results of the proposed method have shown improvement in terms of load balancing, energy consumption under dynamic workload environment.


Load balancing Cloud computing Virtual machine migration Gravitational search algorithm 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Kakatiya Institute of Technology and ScienceWarangalIndia
  2. 2.JNTUH College of EngineeringManthani, PeddapalliIndia

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