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In this paper, we propose two data offloading mechanisms among multiple mobile users based on game theory. We formulate the decentralized data offloading decision making problem as two decentralized data offloading game. We then design two decentralized data offloading mechanisms that can achieve Nash equilibriums of the game: multi-item auction (MIA) based data offloading and congestion game (COG)...
The unabated plethora of research activities to augment multifarious mobile devices by leveraging cloud resources have created new research field called Mobile Cloud Computing (MCC). Recently, researchers have found Mobile Cloud Computing (MCC) to be a promising venture combining the advantage of both the cloud and mobility in giving users available resources on the cloud wherever they are using their...
Mobile devices can now support a wide range of applications, many of which demand high computational power. Backed by the virtually unbounded resources of cloud computing, today's mobile-cloud (MC) computing can meet the demands of even the most computationally and resource intensive applications. However, many existing MC hybrid applications are inefficient in terms of achieving objectives like minimizing...
By processing sensory data in the vicinity of its generation, edge computing reduces latency, improves responsiveness, and saves network bandwidth in data-intensive applications. However, existing edge computing solutions operate under the assumption that the edge infrastructure will comprise a set of pre-deployed, custom-configured computing devices, connected by a reliable local network. Although...
This paper addresses the pressing concern of insufficient and inflexible support for data privacy in hybrid cloud environments, where potentially sensitive data is dynamically transferred between remote (i.e. public) and local (i.e. private) data centres, as well as personal computers and portable/mobile devices. As sensitive data is being transferred across various administrative domains with differing...
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