An Efficient Approach of Power Consumption in Cloud using Scheduling of Resources

Full Text (PDF, 598KB), PP.60-66

Views: 0 Downloads: 0


Tanvi Tripathi 1,* Sunita Gond 1

1. Barkatullah University/Department of Information Technology, Bhopal, India

* Corresponding author.


Received: 16 Mar. 2015 / Revised: 20 Apr. 2015 / Accepted: 23 May 2015 / Published: 8 Jul. 2015

Index Terms

Cloud Security, Multi-Keyword, Cloud Computing, SAAS, PAAS, Resource Scheduling


Cloud computing is the stage for a choice of services like software, infrastructure as a cloud service and each person wants to have the benefit of that cloud services using the cloud computing concept, which ultimately increases the data size and loaded records on cloud servers. Due to increased number of files on the cloud database the retrieval of files becomes much more time consuming and complex. Also this file retrieval doesn’t ensure the exact retrieval of files from the storage. Besides, the privacy apprehensions affect to the appropriate documents regained by the cloud user in the afterward phase in view of the fact that they may also enclose sensitive data and make known information about sensitive exploration words or phrase. Here in this paper an efficient approach of power consumption using scheduling of resources is implemented.

Cite This Paper

Tanvi Tripathi, Sunita Gond, "An Efficient Approach of Power Consumption in Cloud using Scheduling of Resources", International Journal of Modern Education and Computer Science (IJMECS), vol.7, no.7, pp.60-66, 2015. DOI:10.5815/ijmecs.2015.07.08


[1]Cloud Security Alliance, “Top Threats to Cloud Computing,”, 2010.
[2]Kui Ren, Cong Wang and Qian Wang, “Toward Secure and Effective Data Utilization in Public Cloud”, IEEE Network, November/December, 2012.
[3]Cong Wang, Sherman S.M. Chow, Qian Wang, Kui Ren, and Wenjing Lou, “Privacy-Preserving Public Auditing for Secure Cloud Storage”, IEEE Transactions on Computers, Vol. 62, No. 2, February 2013.
[4]N. Cao, C. Wang, M. Li, K. Ren, and W. Lou, “Privacy-Preserving Multikeyword Ranked Search over Encrypted Cloud Data,” Proc. IEEE INFOCOM, 2011.
[5]H. Hu, J. Xu, C. Ren, and B. Choi, “Processing Private Queries over Untrusted Data Cloud through Privacy Homomorphism,” Proc. IEEE 27th Int’l Conf. Data Eng. (ICDE), 2011.
[6]L. M. Vaquero, L. Rodero-Merino, J. Caceres, and M. Lindner, “A break in the clouds: towards a cloud definition”, SIGCOMM Comput. Commun. Rev., 39:50{55, December 2008.
[7]Ahmed Q. Lawey, Taisir E. H. El-Gorashi, and Jaafar M. H. Elmirghani, “Distributed Energy Efficient Clouds Over Core Networks”, Journal of Lightwave Technology, VOL. 32, NO. 7, APRIL 1, 2014.
[8]Virnal Mathewt, Rarnesh K. Sitararnan t and Prashant Shenoy, “Reducing Energy Costs In Internet-Scale Distributed Systems Using Load Shifting”, 978-1-4799-3635-9/14, 2014.
[9]Sharrukh Zaman, “A Combinatorial Auction-Based Mechanism for Dynamic VM Provisioning and Allocation in Clouds”, IEEE TRANSACTIONS ON CLOUD COMPUTING, 2013.
[10]Kashifuddin Qazi, Yang Li, and Andrew Sohn, “Power Prediction of Workload for Energy Efficient Relocation of Virtual Machines”, ACM 978-1-4503-2428, 2010.
[11]Gaurav Lahoti, “Customer-centric Energy Usage Data. Management and Sharing in Smart Grid Systems”, ACM 978-1-4503-2492, 2013.
[12]T.H. Szymanski, “Low Latency Energy Efficient Communications in Global Scale Cloud Computing Systems”, EEHPDC’13, June 17, 2013, New York, NY, USA, 2013.
[13]Feifei Chen, John Grundy, Yun Yang, Jean-Guy Schneider and Qiang He, “Experimental Analysis of Task-based Energy Consumption in Cloud Computing Systems”, ICPE’13, April 21–24, 2013, Prague, Czech Republic, 2013.
[14]Hanen Chihi, Walid Chainbi, “An Energy-Efficient Self-Provisioning Approach for Cloud Resources Management”, IEEE 2013.
[15]Yang Tang, Patrick P.C. Lee, “Secure Overlay Cloud Storage with Access Control and Assured Deletion”, Ieee Transactions On Dependable And Secure Computing, Vol. 9, No. 6, November/December 2012”.
[16]Jue Wang, “Risk and Energy Consumption Tradeoffs in Cloud Computing Service via Stochastic Optimization Models”, IEEE/ACM Fifth International Conference on Utility and Cloud Computing, 2012.
[17]Daniel Guimaraes do Lago1, “Power-Aware Virtual Machine Scheduling on Clouds Using Active Cooling Control and DVFS”, ACM 978-1-4503-1068, 2011.
[18]Qiang Huang, Fengqian Gao, Rui Wang, Zhengwei Qi, “Power Consumption of Virtual Machine Live Migration in Clouds”, Third International Conference on Communications and Mobile Computing, 2011.
[19]Anton Beloglazov, “Energy efficient resource management in virtualized data centers”, IEEE/ACM International conference on cluster, cloud and grid computing, 2010.
[20]Jayant Baliga, Robert W. A. Ayre, Kerry Hinton, “Green Cloud Computing: Balancing Energy in Processing, Storage, and Transport”, IEEE 2010.
[21]Raffaele Bolla, Roberto Bruschi, Franco Davoli, Andrea Ranieri, “Energy-Aware Performance Optimization for Next-Generation Green Network Equipment”, ACM 978-1-60558-446-1/09/08, 2009.