Energy-Efficient Real-Time Tasks Scheduling in Cloud Data Centers
Journal Title: International Journal of Science Engineering and Advance Technology - Year 2016, Vol 4, Issue 12
Abstract
Reducing energy consumption in cloud computing systems has been a major concern among the researchers because it not only reduce the operational cost but also increase the system reliability, and efficient scheduling approach is a promising way to achieve this goal. But unfortunately, existing energy-aware scheduling approaches are inadequate for real-time tasks running in cloud environment because they assumes that cloud computing environment are deterministic and precomputed schedule decisions are followed during the execution. The above issues are addressed in this paper by considering the number of energy-efficiency factors such as energy cost, CPU power efficiency, carbon emission rate, and workload, and near-optimal energy efficient scheduling policies are proposed for cloud data center for scheduling real-time, aperiodic, independent tasks that can reduce operational cost and provide Quality of Service (QoS).
Authors and Affiliations
Debendra Maharana| Department of Computer Science and Application, Rourkela Institute of Management Studies (RIMS), Rourkela, India, deb.maharana@gmail.com, Dr. Bibhudatta Sahoo| Department of Computer Science & Engineering, National Institute of Technology (NIT), Rourkela, India, bdsahu@nitrkl.ac.in, Dr. Srinivas Sethi| Department of Computer Science & Engineering(IGIT), Saranga, Dhenkanal,India, igitsethi@gmail.com
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