DocumentCode
628229
Title
Model-based performance analysis of local re-execution scheme in offloading system
Author
Qiushi Wang ; Huaming Wu ; Wolter, Katinka
Author_Institution
Dept. of Math. & Comput. Sci., Freie Univ. Berlin, Berlin, Germany
fYear
2013
fDate
24-27 June 2013
Firstpage
1
Lastpage
6
Abstract
Offloading is a useful approach to save energy and time for mobile devices by migrating heavy computation to remote powerful servers. However, the unreliable wireless network constrains the implementation of offloading applications. The execution continuity is always interrupted by network failures. To deal with this problem, locally re-executing the pre-determined offloading task in the mobile device is a valid method. Challenges arise due to the best trade-off between costs and benefits of Local Re-execution. In this paper, using a Stochastic Activity Network model, we defined three metrics to investigate the performance of Local Re-execution, which is launched by different timeout values. Through comprehensively comparing the simulation results, we further explored the optimal timeout value for activating Local Re-execution, and reached the conclusion that the optimum is mainly controlled by the delay of network recovery.
Keywords
mobile computing; performance evaluation; power aware computing; stochastic processes; execution continuity; local re-execution scheme; mobile devices; model-based performance analysis; network failures; network recovery; offloading system; optimal timeout value; predetermined offloading task; stochastic activity network model; Computational modeling; Data communication; Energy consumption; Measurement; Mobile handsets; Servers; Wireless networks; Modeling; Offloading; Stochastic Activity Network; performance analysis; timeout;
fLanguage
English
Publisher
ieee
Conference_Titel
Dependable Systems and Networks (DSN), 2013 43rd Annual IEEE/IFIP International Conference on
Conference_Location
Budapest
ISSN
1530-0889
Print_ISBN
978-1-4673-6471-3
Type
conf
DOI
10.1109/DSN.2013.6575325
Filename
6575325
Link To Document