This paper is published in Volume-2, Issue-6, 2016
Area
Cloud Computing
Author
Samriti Goyal, Bhartii Grover
Org/Univ
Gurukul Vidyapeeth Institute of Engineering and Technology, Banur, Punjab, India
Keywords
Cost, Energy, Mobile Offloading, Cloud
Citations
IEEE
Samriti Goyal, Bhartii Grover. Offloading in Mobile Cloud Computing by Exception Maximization Algorithm, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Samriti Goyal, Bhartii Grover (2016). Offloading in Mobile Cloud Computing by Exception Maximization Algorithm. International Journal of Advance Research, Ideas and Innovations in Technology, 2(6) www.IJARIIT.com.
MLA
Samriti Goyal, Bhartii Grover. "Offloading in Mobile Cloud Computing by Exception Maximization Algorithm." International Journal of Advance Research, Ideas and Innovations in Technology 2.6 (2016). www.IJARIIT.com.
Samriti Goyal, Bhartii Grover. Offloading in Mobile Cloud Computing by Exception Maximization Algorithm, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Samriti Goyal, Bhartii Grover (2016). Offloading in Mobile Cloud Computing by Exception Maximization Algorithm. International Journal of Advance Research, Ideas and Innovations in Technology, 2(6) www.IJARIIT.com.
MLA
Samriti Goyal, Bhartii Grover. "Offloading in Mobile Cloud Computing by Exception Maximization Algorithm." International Journal of Advance Research, Ideas and Innovations in Technology 2.6 (2016). www.IJARIIT.com.
Abstract
Offloading in mobile cloud computing by exception maximization algorithm is the idea to augment execution through migrating heavy computation from mobile devices to resourceful cloud servers and then receive the results from them via wireless networks. Offloading is an effective way to overcome the resources and functionalities constraints of the mobile devices since it can release them from intensive processing and increase performance of the mobile applications, in terms of response time. Offloading brings many potential benefits, such as energy saving, performance improvement, reliability improvement, ease for the software developers and better exploitation of contextual information. Parameters about method transitions, response times, cost and energy consumptions are dynamically re-estimated at runtime during application executions.