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http://dx.doi.org/10.3837/tiis.2014.11.014

Computational Analytics of Client Awareness for Mobile Application Offloading with Cloud Migration  

Nandhini, Uma (Department of Information Technology, School of Computer, Information and Mathematical Science B.S.Abdur Rahman University)
TamilSelvan, Latha (Department of Information Technology, School of Computer, Information and Mathematical Science B.S.Abdur Rahman University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.8, no.11, 2014 , pp. 3916-3936 More about this Journal
Abstract
Smartphone applications like games, image processing, e-commerce and social networking are gaining exponential growth, with the ubiquity of cellular services. This demands increased computational power and storage from mobile devices with a sufficiently high bandwidth for mobile internet service. But mobile nodes are highly constrained in the processing and storage, along with the battery power, which further restrains their dependability. Adopting the unlimited storage and computing power offered by cloud servers, it is possible to overcome and turn these issues into a favorable opportunity for the growth of mobile cloud computing. As the mobile internet data traffic is predicted to grow at the rate of around 65 percent yearly, even advanced services like 3G and 4G for mobile communication will fail to accommodate such exponential growth of data. On the other hand, developers extend popular applications with high end graphics leading to smart phones, manufactured with multicore processors and graphics processing units making them unaffordable. Therefore, to address the need of resource constrained mobile nodes and bandwidth constrained cellular networks, the computations can be migrated to resourceful servers connected to cloud. The server now acts as a bridge that should enable the participating mobile nodes to offload their computations through Wi-Fi directly to the virtualized server. Our proposed model enables an on-demand service offloading with a decision support system that identifies the capabilities of the client's hardware and software resources in judging the requirements for offloading. Further, the node's location, context and security capabilities are estimated to facilitate adaptive migration.
Keywords
Mobile cloud computing; computation offloading; cloud migration; Wi-Fi; client aware cloudlet; power aware computing;
Citations & Related Records
Times Cited By KSCI : 9  (Citation Analysis)
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