Abstract
A Mobile Cloud Computing environment with remote computing and vertical handover capabilities will be considered. A fuzzy logic model will be suggested for both the offloading and handover functions using energy, delay and computation complexity as criteria. Based on the application requirements, some rules will be proposed and evaluated when deciding on the offloading then the selection of the network that keeps the traffic carried to the cloud at an acceptable level. All this ought to be achieved in real time while the application is still running. The proposed engine will be implemented and run on an Android mobile device connected to Google’s App Engine servers. Results will be presented and analyzed, and conclusions will be provided.
Highlights
Mobile Cloud Computing (MCC) builds on the concept of Cloud Computing with an added mobility feature [1]
In an MCC environment, the entire data is sent to the Cloud server from the mobile device, so that data may be processed using the powerful computing resources available in the Cloud servers
It leverages proximate and distant clouds to enhance, and optimize computing capabilities of mobile devices aiming at an execution of Resource-intensive Mobile Applications (RMAs)
Summary
Mobile Cloud Computing (MCC) builds on the concept of Cloud Computing with an added mobility feature [1]. Vertical handoff is a process that will allow selecting the best network It requires accurate and precise decisions about the availability of the networks and their resources for connection. The ABC concept is to enable users to choose among a host of networks that best that suits his needs and to change when something better becomes available It needs a framework for supporting mobility management, access discovery and selection, authentication, security and profile server [3]. Our focus in this study, will be based on reducing energy consumption and application execution time by providing seamless service through a combination of offloading of computing processes to the cloud and vertical handover between heterogeneous wireless networks [4]. The related work will be presented, followed by the proposed model. The simulation results will be presented an analyzed and we will summarize our main findings in the conclusion section
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