Mobility prediction model-based service migration procedure for follow me cloud to support QoS and QoE

Follow me cloud (FMC) is one of the solutions to the limitations of the service quality and type of functionality due to the inherent constraints of mobility management. In this paper, we address the tradeoff between the overhead and Quality of Experience (QoE) by proposing a mobility-based services migration prediction (MSMP). The aim of MSMP is to plan, for a given service, the sequence of data to transfer from distinct micro data centers (MDC) to the user according to his mobility pattern and the estimated load of data centers. MSMP consists of (1) a data transfer throughput estimation scheme, called DTT, that aims to estimate, in advance, the throughput that the user could receive; (2) MDC service area handoff time estimation scheme, called AHT, that aims to estimate the time windows when the user will perform MDC service area handoffs; and (3) service migration management scheme, called SMM, that aims to select optimal MDCs in terms of offered throughput and to split user requested service into several portions to be processed by these MDCs. We evaluate MSMP and compare it against the most recent related approaches; the simulation results show that MSMP outperforms existing approaches in terms of data latency.