TY - BOOK ID - 129679517 TI - Latency-Aware Resource Management at the Edge. PY - 2020 SN - 9179299040 9789179299040 PB - Linköping : Linkopings Universitet, DB - UniCat KW - Edge computing. KW - Resource allocation. KW - Edge computing KW - Resource allocation UR - https://www.unicat.be/uniCat?func=search&query=sysid:129679517 AB - This thesis by Klervie Toczé explores latency-aware resource management within the edge computing paradigm. It addresses the challenges of efficiently managing finite resources of edge devices, which are crucial for applications requiring ultra-low latency and privacy beyond what current cloud systems offer. The work includes a review of existing research, proposes a taxonomy for resource management, and presents the ORCH framework designed to orchestrate a mix of mobile and stationary edge devices. The thesis also studies the workload of a mixed reality application, using the MR-Leo prototype to model and understand the end-to-end latency and throughput requirements. The research is aimed at advancing the deployment of edge computing solutions, with a focus on enhancing quality of service for latency-critical tasks. ER -