Affiliations:
Department of Computer Science and Engineering, Thapar University, Patiala, Punjab, India
Correspondence:
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Corresponding author. Sukhpal Singh, Department of Computer Science and Engineering, Thapar University, Patiala, Punjab 147004, India. Tel.: +91 9855581444; E-mail: ssgill@thapar.edu.
Abstract: In Cloud computing, data centers gain popularity as an effective platform for scheduling of resources and hosting cloud applications. However, tremendous amount of energy is consumed by these data centers which leads to high operational costs and contributes towards carbon footprints to the environment. Therefore, there is need of energy aware cloud based framework which schedules computing resources automatically by considering energy consumption as a QoS parameter itself. In this paper, we present fuzzy logic based energy-aware autonomic resource scheduling framework for cloud for energy efficient scheduling of cloud computing resources in data centers. We have evaluated the proposed framework in CloudSim based simulation environment and real cloud environment. The experimental results show that the proposed framework performs better in terms of resource utilization and energy consumption along with other QoS parameters.
