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Offload decision models and the price of anarchy in mobile cloud application ecosystems
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Gao, Bo, He, Ligang and Jarvis, Stephen A. (2016) Offload decision models and the price of anarchy in mobile cloud application ecosystems. IEEE Access, 3 . pp. 3125-3137. doi:10.1109/ACCESS.2016.2518179 ISSN 2169-3536.
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Official URL: http://dx.doi.org/10.1109/ACCESS.2016.2518179
Abstract
With the maturity of technologies, such as HTML5 and JavaScript, and with the increasing popularity of cross-platform frameworks, such as Apache Cordova, mobile cloud computing as a new design paradigm of mobile application developments is becoming increasingly more accessible to developers. Following this trend, future on-device mobile application ecosystems will not only comprise a mixture of native and remote applications, but also include multiple hybrid mobile cloud applications. The resource competition in such ecosystems and its impact over the performance of mobile cloud applications has not yet been studied. In this paper, we study this competition from a game theoretical perspective and examine how it affects the behavior of mobile cloud applications. Three offload decision models of cooperative and non-cooperative nature are constructed and their efficiency compared. We present an extension to the classic load balancing game to model the offload behaviors within a non-cooperative environment. Mixed-strategy Nash equilibria are derived for the non-cooperative offload game with complete information, which further quantifies the price of anarchy in such ecosystems. We present simulation results that demonstrate the differences between each decision model’s efficiency. Our modeling approach facilitates further research in the design of the offload decision engines of mobile cloud applications. Our extension to the classic load balancing game broadens its applicability to real-life applications.
Item Type: | Journal Article | ||||||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TS Manufactures |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||||
Library of Congress Subject Headings (LCSH): | Mobile computing, Cloud computing | ||||||||
Journal or Publication Title: | IEEE Access | ||||||||
Publisher: | IEEE | ||||||||
ISSN: | 2169-3536 | ||||||||
Official Date: | 21 January 2016 | ||||||||
Dates: |
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Volume: | 3 | ||||||||
Page Range: | pp. 3125-3137 | ||||||||
DOI: | 10.1109/ACCESS.2016.2518179 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||
Date of first compliant deposit: | 4 March 2016 | ||||||||
Date of first compliant Open Access: | 4 March 2016 | ||||||||
Funder: | Leverhulme Trust (LT), Guo jia zi ran ke xue ji jin wei yuan hui (China) [National Natural Science Foundation of China] (NSFC) | ||||||||
Grant number: | RPG-101 (LT), 61133005, 61432005 (NSFC) | ||||||||
Open Access Version: |
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