ONLINE OPTIMAL TASK OFFLOADING WITH ONE-BIT FEEDBACK

doi:10.1109/GlobalSIP.2018.8646619

	ONLINE OPTIMAL TASK OFFLOADING WITH ONE-BIT FEEDBACK
	Zhao, Shangshu; Zhu, Zhaowei; Yang, Fuqian; Luo, Xiliang
	2018
会议录名称	2018 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP 2018)
页码	683-687
发表状态	已发表
DOI	10.1109/GlobalSIP.2018.8646619
摘要	Task offloading is an emerging technology in fog-enabled networks. It allows users to transmit tasks to neighbor fog nodes so as to utilize the computing resources of the networks. In this paper, we investigate a stochastic task offloading model and propose a multi-armed bandit framework to formulate this model. We consider the fact that different helper nodes prefer different kinds of tasks. Further, we assume each helper node just feeds back one-bit information to the task node to indicate the level of happiness. The key challenge of this problem lies in the exploration-exploitation tradeoff. We thus implement a UCB-type algorithm to maximize the long-term happiness metric. Numerical simulations are given in the end of the paper to corroborate our strategy.
关键词	Task offloading fog computing online learning MAB
出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
会议地点	Anaheim, CA, USA
会议日期	26-29 Nov. 2018
URL	查看原文
收录类别	CPCI ; CPCI-S ; EI
语种	英语
WOS研究方向	Engineering
WOS类目	Engineering, Electrical & Electronic
WOS记录号	WOS:000462968100138
出版者	IEEE
EI入藏号	20191206664360
EI主题词	Fog ; Stochastic models ; Stochastic systems
EI分类号	Atmospheric Properties:443.1 ; Probability Theory:922.1 ; Systems Science:961
WOS关键词	RESOURCE ; ALLOCATION
原始文献类型	Proceedings Paper
来源库	IEEE
引用统计	正在获取...
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/34282
专题	信息科学与技术学院_硕士生信息科学与技术学院_PI研究组_罗喜良组物质科学与技术学院_本科生信息科学与技术学院_博士生
通讯作者	Zhao, Shangshu
作者单位	ShanghaiTech Univ, Shanghai, Peoples R China
第一作者单位	上海科技大学
通讯作者单位	上海科技大学
第一作者的第一单位	上海科技大学
推荐引用方式 GB/T 7714	Zhao, Shangshu,Zhu, Zhaowei,Yang, Fuqian,et al. ONLINE OPTIMAL TASK OFFLOADING WITH ONE-BIT FEEDBACK[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2018:683-687.