Collaboration of Heterogeneous Edge Computing Paradigms: How to Fill the Gap Between Theory and Practice

doi:10.1109/MWC.014.2200283

CSpace

	Collaboration of Heterogeneous Edge Computing Paradigms: How to Fill the Gap Between Theory and Practice
	Cai, Qing 1,2; Zhou, Yiqing 1,2; Liu, Ling 1,2; Qi, Yanli 1,2; Pan, Zhengang 3; Zhang, Haoyue 1,2
	2024-02-01
发表期刊	IEEE WIRELESS COMMUNICATIONS
ISSN	1536-1284
卷号	31 期号:1 页码:110-117
摘要	Edge computing paradigms such as cloudlet, mobile edge computing (MEC) and fog computing, are promising to reduce network transmission delay while meeting intensive computing requirements at the network edge. As always assumed in theoretical studies, to expand service capability, it is desirable to integrate edge resources into a unified resource pool and make different edge facilities collaborate. However, this collaboration is difficult in practice since the heterogeneity among paradigms leads to resource isolation. This article focuses on clarifying and shielding heterogeneity among edge computing paradigms for collaboration. First, based on cloudlet, mobile edge computing and fog computing, three main edge computing paradigms, that is, small cloudy edge paradigm (SmaIIC), mobile integrated edge paradigm (Moblnt) and front ad hoc edge paradigm (FrontAH), are defined. So that the heterogeneity among them can be analyzed, according to which, collaboration challenges in computing resource trading, information communication and resource sharing are identified. Promising techniques such as blockchain-based smart contract, media-independent handover (MIH), and software-defined network and network function virtualization (SDN/NFV) are then introduced and integrated into a complete collaboration solution. Finally, taking the unmanned vehicular navigation as an example, the performance of collaboration is evaluated, considering additional costs introduced by collaborations, including trading, network hand-off and data transmission among edge facilities in different paradigms. Simulation results show that compared with existing schemes of the three paradigms, the collaboration can reduce the cost (i.e., weighted sum of energy consumption and delay) by at least 45.6 percent.
关键词	Cloud computing Delays Collaboration Edge computing Uplink Energy consumption Task analysis
DOI	10.1109/MWC.014.2200283
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[U21A20449] ; Jiangsu Key Research and Development Program[BE2021013-2]
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:001183499800024
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/38761
专题	中国科学院计算技术研究所
通讯作者	Zhou, Yiqing
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing Key Lab Mobile Comp & Pervas Device, SKLP, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Spreadtrum Commun Inc, San Jose, CA USA
推荐引用方式 GB/T 7714	Cai, Qing,Zhou, Yiqing,Liu, Ling,et al. Collaboration of Heterogeneous Edge Computing Paradigms: How to Fill the Gap Between Theory and Practice[J]. IEEE WIRELESS COMMUNICATIONS,2024,31(1):110-117.
APA	Cai, Qing,Zhou, Yiqing,Liu, Ling,Qi, Yanli,Pan, Zhengang,&Zhang, Haoyue.(2024).Collaboration of Heterogeneous Edge Computing Paradigms: How to Fill the Gap Between Theory and Practice.IEEE WIRELESS COMMUNICATIONS,31(1),110-117.
MLA	Cai, Qing,et al."Collaboration of Heterogeneous Edge Computing Paradigms: How to Fill the Gap Between Theory and Practice".IEEE WIRELESS COMMUNICATIONS 31.1(2024):110-117.