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Context-Awareness in Opportunistic Mobile Cloud Computing
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Author(s): Radu-Corneliu Marin (University Politehnica of Bucharest, Romania), Radu-Ioan Ciobanu (University Politehnica of Bucharest, Romania), Radu Pasea (University Politehnica of Bucharest, Romania), Vlad Barosan (University Politehnica of Bucharest, Romania), Mihail Costea (University Politehnica of Bucharest, Romania)and Ciprian Dobre (University Politehnica of Bucharest, Romania)
Copyright: 2015
Pages: 35
Source title:
Resource Management of Mobile Cloud Computing Networks and Environments
Source Author(s)/Editor(s): George Mastorakis (Technological Educational Institute of Crete, Greece), Constandinos X. Mavromoustakis (University of Nicosia, Cyprus)and Evangelos Pallis (Technological Educational Institute of Crete, Greece)
DOI: 10.4018/978-1-4666-8225-2.ch008
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Abstract
Smartphones have shaped the mobile computing community. Unfortunately, their power consumption overreaches the limits of current battery technology. Most solutions for energy efficiency turn towards offloading code from the mobile device into the cloud. Although mobile cloud computing inherits all the Cloud Computing advantages, it does not treat user mobility, the lack of connectivity, or the high cost of mobile network traffic. In this chapter, the authors introduce mobile-to-mobile contextual offloading, a novel collaboration concept for handheld devices that takes advantage of an adaptive contextual search algorithm for scheduling mobile code execution over smartphone communities, based on predicting the availability and mobility of nearby devices. They present the HYCCUPS framework, which implements the contextual offloading model in an on-the-fly opportunistic hybrid computing cloud. The authors emulate HYCCUPS based on real user traces and prove that it maximizes power saving, minimizes overall execution time, and preserves user experience.
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