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Titlebook: Spectrum-Aware Mobile Computing; Convergence of Cloud Seyed Eman Mahmoodi,Koduvayur Subbalakshmi,R. N. U Book 2019 Springer Nature Switzerl

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Classification of Mobile Cloud Offloading,n of existing schemes as well as the most recent developments in this field is discussed in this chapter. Although a lot of work has been done in this area, there is still potential for very new directions that this field could take. These are elaborated in this chapter as well.
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Joint Scheduling and Cloud Offloading Using Single Radio,endency graphs. This chapter discusses computational offloading in the situations where the solutions are free to consider the arbitrary dependency graphs as is, without adhering to any pre-determined scheduling order that the compiler may introduce. Joint scheduling–offloading schemes that optimall
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Optimal Cognitive Scheduling and Cloud Offloading Using Multi-Radios,owing for a natural scheduling order and more general dependencies between the components of the application, (2) using all viable RAT interfaces for cloud offloading, and (3) taking a time-adaptive approach that is cognizant of and responsive to the changes in the wireless network conditions over t
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Time-Adaptive and Cognitive Cloud Offloading Using Multiple Radios,. This chapter introduces more practical heuristic time-adaptive schemes to schedule the components for offloading, while simultaneously optimizing the percentages of data to be sent by the mobile and the cloud via each wireless interface. A comprehensive model for the utility function is described
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