Multi-stage stochastic programming for service placement in edge computing systems: poster

Efficient service placement of mobile applications on the edge servers is one of the main challenges in Mobile Edge Computing (MEC). The service placement problem in MEC has to consider several issues that were not present in the data-center settings. After the initial service placement, mobile users may move to different locations which may increase the execution time or the cost of running the applications. In addition to this, the resource availability of servers may change over time. Therefore, an efficient service placement algorithm must be adaptive to this dynamic setting.