Publication | Closed Access
Multi-user computation offloading as Multiple Knapsack Problem for 5G Mobile Edge Computing
71
Citations
17
References
2016
Year
Unknown Venue
Cluster ComputingEngineeringEdge DeviceDynamic Resource AllocationMulti-user ComputationInternet Of ThingsCombinatorial OptimizationMobile Data OffloadingComputer EngineeringComputer ScienceMobile ComputingResource SharingNp-hard ProblemsEdge ArchitectureSmall CellEdge ComputingCloud ComputingMulti-access Edge ComputingMobile Edge ComputingMultiple Knapsack Problem
We present an overview of NP-hard problems and methods related to deployment, resource sharing, load balancing and fairness among multiple users in 5G mobile networks. We provide a general model of the system considering the E2E computational latency of Mobile Edge Computing (MEC) applications. An evaluation of a multi-user MEC offloading model reducible to the Multiple Knapsack Problem (MKP) is performed. We study the behaviour of an exact and a heuristic algorithm. We also show the performance results of these in a real-life small-cell deployment scenario.
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