Network-Assisted Offloading for Mobile Cloud Applications

Fiandrino, Claudio; Kliazovich, Dzmitry; Bouvry, Pascal; Zomaya, Albert Y.

Reference : Network-Assisted Offloading for Mobile Cloud Applications


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/20059

Title :	Network-Assisted Offloading for Mobile Cloud Applications
Language :	English
Author, co-author :	Fiandrino, Claudio [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Kliazovich, Dzmitry [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Bouvry, Pascal [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Zomaya, Albert Y. [University of Sydney]
Publication date :	2015
Main document title :	IEEE International Conference on Communications (ICC), London, UK, 2015
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	IEEE International Conference on Communications
Event date :	June 2015
Event place (city) :	London
Event country :	UK
Keywords :	[en] Mobile cloud computing ; Network awareness ; Cellular networks ; Traffic offloading
Abstract :	[en] Data traffic from mobile devices experiences unprecedented growth that current cellular network capacities cannot sustain. Traffic offloading to other type of networks such as WiFi emerged as a valid solution to relieve the load in cellular networks. In this paper, we propose novel solution, which unlike other existing methodologies uses information provided by the cellular network to optimize traffic offloading. The provided information includes channel usage statistics, user mobility patterns, information about available resources and other parameters. The offloading decisions aim at optimizing the balance between user and application requirements with availability of network resources. We validated the effectiveness of the proposed solution through simulations with NS-3 network simulator. The results show the capability of the solution in relieving cellular load while guaranteeing user QoS.
Permalink :	http://hdl.handle.net/10993/20059

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