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

文献类型：期刊论文

作者Cai, Qing2,3; Zhou, Yiqing2,3; Liu, Ling2,3; Qi, Yanli2,3; Pan, Zhengang1; Zhang, Haoyue2,3
刊名IEEE WIRELESS COMMUNICATIONS
出版日期2024-02-01
卷号31期号:1页码:110-117
关键词Cloud computing Delays Collaboration Edge computing Uplink Energy consumption Task analysis
ISSN号1536-1284
DOI10.1109/MWC.014.2200283
英文摘要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.
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
语种英语
WOS记录号WOS:001183499800024
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/38760]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Zhou, Yiqing
作者单位1.Spreadtrum Commun Inc, San Jose, CA USA
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Comp Technol, Beijing Key Lab Mobile Comp & Pervas Device, SKLP, Beijing, Peoples R China
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.

入库方式： OAI收割

来源：计算技术研究所

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