Q-MAC: QoS and mobility aware optimal resource allocation for dynamic application offloading in mobile cloud computing

Smartphone applications are getting more multi-farious and demanding of increased energy and computing resources. Mobile Cloud Computing (MCC) made a novel platform which allows personal Smartphones to execute heavy computing tasks with the assistance of powerful cloudlet servers attached to numerous wireless access points (APs). Furthermore, due to users' mobility in anywhere, ensuring the continuous connectivity of mobile devices in given wireless network access point is quite difficult because the signal strength becomes sporadic at that time. In this paper, we develop a QoS and mobility aware optimal resource allocation architecture, namely Q-MAC, for remote code execution in MCC that offers higher efficiency in timeliness and reliability domains. By carrying continuous track of user, our proposed architecture performs the offloading process. Our test-bed implementation results show that the Q-MAC outperforms the state-of-the-art methods in terms of success percentage, execution time and workload distribution.