@inproceedings{b72cdfa846d04430877a15a0e3a3675f,
title = "An Efficient Mechanism for Resource Allocation in Mobile Edge Computing",
abstract = "Mobile edge computing (MEC) caches data and services from remote cloud to the edge of network. In this way, MEC lets user equipment (UE) more closer to data and services than traditional cloud computing. Service providers (SPs) deploy their own base stations (BSs) to provide high quality services to their subscribers in MEC networks. SPs get their total revenue from their subscribers, but face the cost of energy and acquiring resources. In this paper, we attempt to maximize the final profit of SPs base on a novel resource allocation method to cut down the cost of energy and acquiring resources. The simulation results indicate that our scheme increases the final profit of SPs, compared to the existing methods.",
keywords = "Mobile edge computing, Profit maximization, Resource allocation",
author = "Guotai Zeng and Chen Zhang and Hongwei Du",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 14th International Conference on Combinatorial Optimization and Applications, COCOA 2020 ; Conference date: 11-12-2020 Through 13-12-2020",
year = "2020",
doi = "10.1007/978-3-030-64843-5\_44",
language = "英语",
isbn = "9783030648428",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "657--668",
editor = "Weili Wu and Zhongnan Zhang",
booktitle = "Combinatorial Optimization and Applications - 14th International Conference, COCOA 2020, Proceedings",
address = "德国",
}