TY - GEN
T1 - Making offloading decisions resistant to network unavailability for mobile cloud collaboration
AU - Wu, Huijun
AU - Huang, Dijiang
AU - Bouzefrane, Samia
N1 - Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - Offloading is one major type of collaborations between mobile devices and clouds to achieve less execution time and less energy consumption. Offloading decisions for mobile cloud collaboration involve many decision factors. One of important decision factors is the network unavailability that has not been well studied. This paper presents an offloading decision model that takes network unavailability into consideration. Network with some unavailability can be modeled as an alternating renewal process. Then, application execution time and energy consumption in both ideal network and network with some unavailability are analyzed. Based on the presented theoretical model, an application partition algorithm and a decision module are presented to produce an offloading decision that is resistant to network unavailability. Simulation results demonstrate good performance of proposed scheme, where the proposed partition algorithm is analyzed in different application and cloud scenarios.
AB - Offloading is one major type of collaborations between mobile devices and clouds to achieve less execution time and less energy consumption. Offloading decisions for mobile cloud collaboration involve many decision factors. One of important decision factors is the network unavailability that has not been well studied. This paper presents an offloading decision model that takes network unavailability into consideration. Network with some unavailability can be modeled as an alternating renewal process. Then, application execution time and energy consumption in both ideal network and network with some unavailability are analyzed. Based on the presented theoretical model, an application partition algorithm and a decision module are presented to produce an offloading decision that is resistant to network unavailability. Simulation results demonstrate good performance of proposed scheme, where the proposed partition algorithm is analyzed in different application and cloud scenarios.
KW - Mobile Cloud Computing
KW - Offloading
KW - Reliability
UR - http://www.scopus.com/inward/record.url?scp=84893618633&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893618633&partnerID=8YFLogxK
U2 - 10.4108/icst.collaboratecom.2013.254106
DO - 10.4108/icst.collaboratecom.2013.254106
M3 - Conference contribution
AN - SCOPUS:84893618633
SN - 9781936968923
T3 - Proceedings of the 9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing, COLLABORATECOM 2013
SP - 168
EP - 177
BT - Proceedings of the 9th IEEE International Conference on Collaborative Computing
T2 - 9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing, COLLABORATECOM 2013
Y2 - 20 October 2013 through 23 October 2013
ER -