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The containerized services allocated in the mobile edge clouds bring up theopportunity for large-scale and real-time applications to have low latencyresponses. Meanwhile, live container migration is introduced to support dynamicresource management and users' mobility. However, with the expansion of networktopology scale and increasing migration requests, the current multiplemigration planning and scheduling algorithms of cloud data centers can not suitlarge-scale scenarios in edge computing. The user mobility-induced livemigrations in edge computing require near real-time level scheduling.Therefore, in this paper, through the Software-Defined Networking (SDN)controller, the resource competitions among live migrations are modeled as adynamic resource dependency graph. We propose an iterative Maximal IndependentSet (MIS)-based multiple migration planning and scheduling algorithm. Usingreal-world mobility traces of taxis and telecom base station coordinates, theevaluation results indicate that our solution can efficiently schedule multiplelive container migrations in large-scale edge computing environments. Itimproves the processing time by 3000 times compared with the state-of-the-artmigration planning algorithm in clouds while providing guaranteed migrationperformance for time-critical migrations.

Efficient Large-Scale Multiple Migration Planning and Scheduling in SDN-enabled Edge Computing