FEMOS: Fog-Enabled Multitier Operations Scheduling in Dynamic Wireless Networks

doi:10.1109/JIOT.2018.2808280

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	FEMOS: Fog-Enabled Multitier Operations Scheduling in Dynamic Wireless Networks
	Shuang Zhao 1,2; Yang Yang 1,2; Ziyu Shao2,3 ; Xiumei Yang 1,2; Hua Qian 2,4; Cheng-Xiang Wang 5
	2018-04-01
发表期刊	IEEE INTERNET OF THINGS JOURNAL (IF:8.2[JCR-2023],9.0[5-Year])
ISSN	2372-2541
卷号	5 期号:2
发表状态	已发表
DOI	10.1109/JIOT.2018.2808280
摘要	Fog computing has recently emerged as a promising technique in content delivery wireless networks to alleviate the heavy bursty traffic burdens on backhaul connections. In order to improve the overall system performance, in terms of network throughput, service delay and fairness, it is very crucial and challenging to jointly optimize node assignments at control tier and resource allocation at access tier under dynamic user requirements and wireless network conditions. To solve this problem, in this paper, a fog-enabled multitier network architecture is proposed to model a typical content delivery wireless network with heterogeneous node capabilities in computing, communication, and storage. Further, based on Lyapunov optimization techniques, a new online low-complexity algorithm, namely fogenabled multitier operations scheduling (FEMOS), is developed to decompose the original complicated problem into two operations across different tiers. Rigorous performance analysis derives the tradeoff relationship between average network throughput and service delay, i.e., [O(1/V), O(V)] with a control parameter V, under FEMOS algorithm in dynamic wireless networks. For different network sizes and traffic loads, extensive simulation results show that FEMOS is a fair and efficient algorithm for all user terminals and, more importantly, it can offer much better performance, in terms of network throughput, service delay, and queue backlog, than traditional node assignment and resource allocation algorithms.
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收录类别	SCI ; SCIE ; EI
来源库	IEEE
引用统计	正在获取...
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/20834
专题	科道书院信息科学与技术学院信息科学与技术学院_PI研究组_邵子瑜组
作者单位	1.Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China 2.Shanghai Institute of Fog Computing Technology, Shanghai, China 3.School of Information Science and Technology, ShanghaiTech University, Shanghai, China 4.Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China 5.Institute of Sensors, Signals and Systems, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, U.K.
推荐引用方式 GB/T 7714	Shuang Zhao,Yang Yang,Ziyu Shao,et al. FEMOS: Fog-Enabled Multitier Operations Scheduling in Dynamic Wireless Networks[J]. IEEE INTERNET OF THINGS JOURNAL,2018,5(2).
APA	Shuang Zhao,Yang Yang,Ziyu Shao,Xiumei Yang,Hua Qian,&Cheng-Xiang Wang.(2018).FEMOS: Fog-Enabled Multitier Operations Scheduling in Dynamic Wireless Networks.IEEE INTERNET OF THINGS JOURNAL,5(2).
MLA	Shuang Zhao,et al."FEMOS: Fog-Enabled Multitier Operations Scheduling in Dynamic Wireless Networks".IEEE INTERNET OF THINGS JOURNAL 5.2(2018).