Cloud Computing in Wireless Networks

This chapter considers a virtualized data center (VDC) computing cloud consisting of a set of servers hosting a number of mobile terminals forming a mobile cloud, and provides the problem of optimal resource allocation in the presence of time varying workloads and uncertain channels. The channel uncertainty may be either due to fading and/or uncertain link availability and reliability in cognitive wireless networks. The servers are processing certain applications delegated to them by the terminals, for either energy saving or the lack of necessary software at the terminal to process the applications. The chapter shows that the performance of the dynamic control algorithm (DCA) is better than the performance of the STAT policy and discusses a unified approach proving the stability of the dynamic algorithm for both primary service provider (PSP) and secondary service provider (SSP) cognitive networks as well as for conventional wireless networks (CWNs).