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- W2950778982 abstract "In this paper, we study a general Near-Far Computing Enhanced C-RAN (NFC-RAN), in which users can offload the tasks to the near edge cloud (NEC) or the far edge cloud (FEC). We aim to propose a profit-aware task allocation model by maximizing the profit of the edge cloud operators. We first prove that this problem can be transformed to a Multiple-Choice Multi-Dimensional 0-1 Knapsack Problem (MMKP), which is NP-hard. Then, we solve it by using a low complexity heuristic algorithm. The simulation results show that the proposed algorithm achieves a good tradeoff between the performance and the complexity compared with the benchmark algorithm." @default.
- W2950778982 created "2019-06-27" @default.
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- W2950778982 date "2019-06-01" @default.
- W2950778982 modified "2023-09-27" @default.
- W2950778982 title "A Task Allocation Algorithm for Profit Maximization in NFC-RAN" @default.
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- W2950778982 doi "https://doi.org/10.1109/iwcmc.2019.8766709" @default.
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