POWER EFFICIENT TASK SCHEDULING MECHANISM IN CLOUD ENVIRONMENT: A REVIEW
DOI:
https://doi.org/10.24297/ijct.v15i11.4349Keywords:
Cloud Computing, Virtual Machine, Data Center, Data Center Broker, HostAbstract
Cloud Computing is being used widely all over the world by many IT companies as it provides various benefits to the users like cost saving and ease of use. However, with the growing demands of users for computing services, cloud providers are encouraged to deploy large datacenters which consume very high amount of energy and also contribute to the increase in carbon dioxide emission in the environment. Therefore, we require to develop techniques which will help to get more environment friendly computing i.e. Green Cloud Computing. In this paper, we have reviewed the existing mechanisms and a new strategy to reduce the carbon dioxide emissions in federated Cloud ecosystems. More specifically, we propose a solution that allows providers to determine the best green destination to reduce the carbon dioxide emissions of the whole federated environment.Downloads
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References
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[2] Y.-J. Chiang, "An Efficient Green Control Algorithm in Cloud Computing for Cost Optimization," in IEEE.
[3] T. P. P. L. J. P. H. T. Fahimeh Farahnakian, "Utilization Prediction Aware VM Consolidation Approach for Green Cloud Computing," Turku, Finland, 2015.
[4] A. V. Bharti Wadhwa, "Carbon Efficient VM Placement and Migration Technique for Green Federated Cloud Datacenters," Chandigarh,India, 2014.
[5] S. G. Samiran Roy, "The Green Cloud Effective Framework: An Environment Friendly Approach Reducing CO2 Level," Kalyani, India, 2014.
[6] C. H. K. S. Sonika P Reddy, "Energy Aware Scheduling of Real-Time and Non Real-Time Tasks on Cloud Processors," Bangalore, India, 2014.
[7] M. Z. L. S. P. a. Q. Z. YunNi Xia, "A Stochastic Approach to Analysis ofEnergy-Aware DVS-Enabled Cloud Datacenters," 2015.
[8] P. D. M. Mahesh B. Nagpure, "An Efficient Dynamic Resource Allocation Strategy for VM Environment in Cloud," Nagpur, India, 2015.
[9] Y. J. Chiang, Y. C. Ouyang and C.-. H. Hsu, "An Efficient Green Control Algorithm in Cloud Computing for Cost Optimization," 2014.
[10] B. Wadhwa and A. Verma, "Carbon Efficient VM Placement and Migration Technique for Green Federated Cloud Datacenters," Chandigarh,India, 2014.
[11] S. P. Reddy and C. H K S, "Energy Aware Scheduling of Real-Time and Non Real-Time Tasks on Cloud Processors," Bangalore, India, 2014.
[12] S. Roy and S. Gupta, "The Green Cloud Effective Framework: An Environment Friendly Approach Reducing CO2 Level," Kalyani, India, 2014.
[13] Y. Xia, M. Zhou, X. Luo, S. Pang and Q. Zhu, "A Stochastic Approach to Analysis ofEnergy-Aware DVS-Enabled Cloud Datacenters," 2015.
[14] B. M. Nagpure, P. Dahiwale and P. Marbate, "An Efficient Dynamic Resource Allocation Strategy for VM Environment in Cloud," Nagpur, India, 2015.
[15] M. Yakhchi, S. M. Ghafari, S. Yakhchi, M. Fazeli and A. Patooghi, "Proposing a Load Balancing Method Based on Cuckoo Optimization Algorithm for Energy Management in Cloud Computing Infrastructures," Borujerd, Iran, 2015.
[16] F. Farahnakian, T. Pahikkala, P. Liljeberg, J. Plosila and H. Tenhunen, "Utilization Prediction Aware VM Consolidation Approach for Green Cloud Computing," Turku, Finland, 2015.
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Published
2016-08-26
How to Cite
Abhilasha, A., & Gupta, D. A. (2016). POWER EFFICIENT TASK SCHEDULING MECHANISM IN CLOUD ENVIRONMENT: A REVIEW. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 15(11), 7253–7257. https://doi.org/10.24297/ijct.v15i11.4349
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Research Articles
