Dynamic Service Migration in Mobile Edge Computing Based on Markov Decision Process

Supplementary Materials for Dynamic Service Migration in Mobile Edge-Clouds

Shiqiang Wang∗, Rahul Urgaonkar†, Murtaza Zafer‡¶, Ting He†, Kevin Chan§, and Kin K. Leung∗ ∗Imperial College London, United Kingdom, Email: {shiqiang.wang11, kin.leung}@imperial.ac.uk †IBM T. J. Watson Research Center, Yorktown Heights, NY, United States, Email: {rurgaon, the}@us.ibm.com ‡Nyansa Inc., Palo Alto, CA, United States, Email: [email protected] §Army Research Laboratory, Ade...

QoS Prediction for Service Recommendations in Mobile Edge Computing

Mobile edge computing is an emerging technology that provides services within the close proximity of mobile subscribers by edge servers that are deployed in each edge server. Mobile edge computing platform enables application developers and content providers to serve context-aware services (such as service recommendation) by using real time radio access network information. In service recommend...

Dynamic service migration and workload scheduling in edge-clouds

Edge-clouds provide a promising new approach to significantly reduce network operational costs by moving computation closer to the edge. A key challenge in such systems is to decide where and when services should be migrated in response to user mobility and demand variation. The objective is to optimize operational costs while providing rigorous performance guarantees. In this paper, we model t...

Dynamic Decision Model using Partially Observable Markov Decision Process

Energy-efficient multisite offloading policy using Markov decision process for mobile cloud computing

Mobile systems, such as smartphones, are becoming the primary platform of choice for a user’s computational needs. However, mobile devices still suffer from limited resources such as battery life and processor performance. To address these limitations, a popular approach used in mobile cloud computing is computation offloading, where resourceintensivemobile components are offloaded tomore resou...