Offloading Mobile Computation to Save Energy in Cloud Computing

Main Article Content

Nagaraj Meghashree
M Srilakshmi
Dr. S Prem Kumar

Abstract

The movement in the Technology has made exceptionally fundamental gadgets of, for example, ethereal telephones of late 80's and Pentium 4 processor into today's stock. No one is tantamount to the power of advanced cells of this era whose current market has been arrived at its unfathomable stature. We search the Web, send emails, organize our lives, watch features, transfer information on informal communities, use web keeping money, find our path by utilizing GPS and online maps, and impart in progressive courses through advanced cells. A lot of people new applications are developing at an extraordinary way. We felt excited while utilizing
advanced cells by introducing and taking care of new applications, however less content with the battery lifetime. Vitality effectiveness is the key thought for the portable framework. Cloud computing can possibly spare portable customer vitality. Be that as it may the investment funds from offloading the computation need to surpass the vitality expense of the extra correspondence. In the event that the applications are more computationally escalated they could be offloaded or else they might be run in the versatile framework itself. Offloading is possible from portable framework to lattice field servers where computation is performed. Offloading relies on upon different parameters, for example, vitality utilization and bandwidth. Offloading, in any case, causes protection concerns on the grounds that delicate information may be sent to servers.


 

Article Details

How to Cite
[1]
M. Meghashree, M. Srilakshmi, and P. K. S, “Offloading Mobile Computation to Save Energy in Cloud Computing”, Int. J. Comput. Eng. Res. Trends, vol. 1, no. 2, pp. 111–118, Aug. 2014.
Section
Research Articles
Author Biographies

M Srilakshmi

 

 

Dr. S Prem Kumar

 

 

References

K. Kumar and Y. H. Lu, “Cloud computing for mobile users: Can offloading computation save energy?” IEEE Computer, vol. 43, no. 4, pp. 51– 56,April 2010

A. Miettinen and J. Nurminen, “Energy efficiency of mobile clients incloud computing,” in Proc. of Hot Cloud, pp 27-56,2010

Hong et al. Energy Efficient Content-Based Image Retrieval for Mobile Systems. In ISCAS, pages1673- 1676, 2009

T-Mobile Forums, “A Message from Our Chief Operations Officer, Jim Alling,” 6 Oct. 2009; http://forums.t-mobile.com/t5/Previous-Sidekick- Models/A-Message-From-Our-Chief-Operations-

Officer-Jim-Alling/m-p/200661.

J. Paczkowski, “Iphone Owners Would Like to Replace Battery,” All Things Digital, 21 Aug. 2009;[5]Datta et al. Image Retrieval: Ideas, Infuences, and Trends of the New Age. In ACM Computing Surveys,pp{34-94} 2008.

R. Wolski et al., “Using Bandwidth Data to Make Computation Offloading Decisions,” Proc. IEEE Int’l Symp. Parallel and Cloud Processing (IPDPS 08), 2008, pp.{ 1-8}

R. McMillan, “Salesforce.com Warns Customers of Phishing Scam,” PCWorld, 6 Nov. 2007; http://www.pcworld.com/businesscenter/article/1393 53/salesforcecom_warns_customers_of_phishing_sca m.html.

C. Wang and Z. Li, “Parametric Analysis for Adaptive Computation Offloading,” ACM SIGPLAN

Notices, vol. 39, no. 6, 2004, pp. {119-130}

Zhang et al. Steganography with Least Histogram Abnormality. In Computer Network Security, pp

{395-406}, 2003.

Fridrich et al. Detecting LSB Steganography in Colorand Gray-scale Images.

Multimedia,volume 8, pages 22{28, 2001.

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