Hsiao C.-HYEONG-SUNG LINFang E.S.-HChen Y.-FWen Y.-FHuang YSu Y.-CWu Y.-SKuo H.-Y.2022-04-262022-04-26202114248220https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102027213&doi=10.3390%2fs21051882&partnerID=40&md5=c8065da09de11a2d32b05a4c214a5362https://scholars.lib.ntu.edu.tw/handle/123456789/608050A combined edge and core cloud computing environment is a novel solution in 5G network slices. The clients’ high availability requirement is a challenge because it limits the possible admission control in front of the edge cloud. This work proposes an orchestrator with a mathematical programming model in a global viewpoint to solve resource management problems and satisfying the clients’ high availability requirements. The proposed Lagrangian relaxation-based approach is adopted to solve the problems at a near-optimal level for increasing the system revenue. A promising and straightforward resource management approach and several experimental cases are used to evaluate the efficiency and effectiveness. Preliminary results are presented as performance evaluations to verify the proposed approach’s suitability for edge and core cloud computing environments. The proposed orchestrator significantly enables the network slicing services and efficiently enhances the clients’ satisfaction of high availability. ? 2021 by the authors. Licensee MDPI, Basel, Switzerland.Admission controlHigh availabilityLagrangian relaxation (LR)Load balancingNetwork slicingResource allocationCloud computingMathematical programmingNatural resources managementQueueing networksClient satisfactionCloud computing environmentsLaGrangian relaxationMathematical programming modelsResource managementResource management algorithmsResource management problems5G mobile communication systemsarticlecloud computinghumanleisurepreliminary dataresource allocationsatisfactionjournal article10.3390/s21051882338002322-s2.0-85102027213