2020/09/11 by Mao V. Ngo, Ngo, Mao V., Tie Luo +5
Computer Science · Engineering · #Caching and Content Delivery #FOS: Computer and information sciences #IoT Networks and Protocols #IoT and Edge/Fog Computing #Networking and Internet Architecture (cs.NI)
paper · pdf · doi:10.48550/arxiv.2009.05682
openalex publication_date 2020/09/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Offloading computationally intensive tasks from mobile users (MUs) to a\nvirtualized environment such as containers on a nearby edge server, can\nsignificantly reduce processing time and hence end-to-end (E2E) delay. However,\nwhen users are mobile, such containers need to be migrated to other edge\nservers located closer to the MUs to keep the E2E delay low. Meanwhile, the\nmobility of MUs necessitates handover among base stations in order to keep the\nwireless connections between MUs and base stations uninterrupted. In this\npaper, we address the joint problem of container migration and base-station\nhandover by proposing a coordinated migration-handover mechanism, with the\nobjective of achieving low E2E delay and minimizing service interruption. The\nmechanism determines the optimal destinations and time for migration and\nhandover in a coordinated manner, along with a delta checkpoint technique that\nwe propose. We implement a testbed edge computing system with our proposed\ncoordinated migration-handover mechanism, and evaluate the performance using\nreal-world applications implemented with Docker container (an\nindustry-standard). The results demonstrate that our mechanism achieves 30%-40%\nlower service downtime and 13%-22% lower E2E delay as compared to other\nmechanisms. Our work is instrumental in offering smooth user experience in\nmobile edge computing.\n