Optimal Cognitive Scheduling and Cloud Offloading Using Multi-Radios
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In this chapter, we move towards the generalization of the problems considered in Chaps. 3 and 4. This extension is achieved in three ways: (1) by allowing 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 time. We coin the term cognitive scheduling and cloud offloading (CSCO) for this class of approaches. A mathematical model for the cost function is developed and methods to solve this optimization problem are discussed.
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