%0 Conference Proceedings
%T An Adaptive Delay-Limited Offloading Scheme Based on Multi-round Auction Model for Mobile Edge Computing
%+ Central South University [Changsha]
%+ School of Electronics Engineering and Computer Science [Beijing] (EECS)
%+ China Life Ecommerce Company Limited
%A Qi, Huamei
%A Wang, Yiran
%A Jiang, Su
%A Yang, Chunmeng
%A Wu, Jia
%Z Part 6: Edge Computing
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 17th IFIP International Conference on Network and Parallel Computing (NPC)
%C Zhengzhou, China
%Y Xin He
%Y En Shao
%Y Guangming Tan
%I Springer International Publishing
%3 Network and Parallel Computing
%V LNCS-12639
%P 310-322
%8 2020-09-28
%D 2020
%R 10.1007/978-3-030-79478-1_27
%K Mobile edge computing
%K Computation offloading
%K Auction model
%K Delay limit
%Z Computer Science [cs]Conference papers
%X Mobile edge computing (MEC) has been widely used in many scenarios due to its advantages such as low latency, high bandwidth, and strong real-time performance. For mobile edge computing in networks with multiple mobile users and multiple MEC servers, this paper proposes an adaptive delay-limited offloading scheme based on a multi-round auction model. First, a multi-round auction model is adopted. Users and servers select each other to achieve a globally optimal match. The proposed evaluation function is based on the delay and energy consumption that can be reduced by offloading, and weights the two parts based on the user’s optimization needs. At the same time, a mechanism for adaptive delay limitation is proposed. The threshold is dynamically updated according to the unloading feedback, which makes the algorithm dynamically adapt to the load changes in the network. Experimental results show that the proposed offloading scheme has obvious advantages in reducing the total delay and the total energy consumption of the system, effectively improving the system performance.
%G English
%Z TC 10
%Z WG 10.3
%2 https://inria.hal.science/hal-03768729/document
%2 https://inria.hal.science/hal-03768729/file/511910_1_En_27_Chapter.pdf
%L hal-03768729
%U https://inria.hal.science/hal-03768729
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC10
%~ IFIP-NPC
%~ IFIP-WG10-3
%~ IFIP-LNCS-12639