Abstract

Cloud data centers consume enormous amounts of electrical energy. To support green cloud computing, providers also need to minimize cloud infrastructure energy consumption while conducting the QoS. In this study, for cloud environments an energy consumption model is proposed for time-shared policy in virtualization layer. The cost and energy usage of time-shared policy were modeled in the CloudSim simulator based upon the results obtained from the real system and then proposed model was evaluated by different scenarios. In the proposed model, the cache interference costs were considered. These costs were based upon the size of data. The proposed model was implemented in the CloudSim simulator and the related simulation results indicate that the energy consumption may be considerable and that it can vary with different parameters such as the quantum parameter, data size, and the number of VMs on a host. Measured results validate the model and demonstrate that there is a tradeoff between energy consumption and QoS in the cloud environment. Also, measured results validate the model and demonstrate that there is a tradeoff between energy consumption and QoS in the cloud environment.

Highlights

  • Cloud computing provides IT services to users via the Internet

  • Based on the proposed model, various scenarios were simulated and the results indicated that the energy consumption is considerable

  • It is defined in terms of the service-level agreements (SLA), which describe such characteristics as the throughput, response time, or latency delivered by the deployed system [9]

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Summary

A Novel Cost Based Model for Energy Consumption in Cloud Computing

For cloud environments an energy consumption model is proposed for time-shared policy in virtualization layer. The cost and energy usage of time-shared policy were modeled in the CloudSim simulator based upon the results obtained from the real system and proposed model was evaluated by different scenarios. These costs were based upon the size of data. The proposed model was implemented in the CloudSim simulator and the related simulation results indicate that the energy consumption may be considerable and that it can vary with different parameters such as the quantum parameter, data size, and the number of VMs on a host.

Introduction
Literature Review
Measuring Context Switch Cost
Experimental Result
Findings
Conclusion
Full Text
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