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.
Original language | English |
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Title of host publication | 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC) |
Subtitle of host publication | June 24 – 28, 2019, Tangier, Morocco |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Pages | 203-207 |
Number of pages | 5 |
ISBN (Electronic) | 9781538677476 |
ISBN (Print) | 9781538677483 |
DOIs | |
Publication status | Published - Jun 2019 |
Event | 15th International Wireless Communications and Mobile Computing Conference: Connecting the IoT - Kenzi Solazur Hotel, Tangier, Morocco Duration: 24 Jun 2019 → 28 Jun 2019 http://iwcmc.org/2019/ |
Conference
Conference | 15th International Wireless Communications and Mobile Computing Conference |
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Abbreviated title | IWCMC 2019 |
Country/Territory | Morocco |
City | Tangier |
Period | 24/06/19 → 28/06/19 |
Internet address |