Abstract
The objective of Multi-access Edge Computing (MEC) is to better support lowlatency applications by bringing storage and computational capabilities at the edge of the network into so-called Edge Data Centers (EDCs). To this end, effective placement of EDCs in urban environments is key for proper load balancing, outage minimization and energy efficiency. This chapter tackles this problem and takes into account the mobility of citizens and their spatial patterns to estimate the optimal placement of MEC EDCs in urban environments that minimizes out- ages and energy efficiency. First, the chapter will discuss how the computational demand and user mobility affect EDC placement and expose three heuristics as solutions. These methods are validated with Crowd EdgeSim, a simulator build specifically for such problem and show that efficient EDCs placement significantly reduces outages.
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