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VSA-SD: A Service Discovery Method Based on Vector Symbol Architecture for Low-Cost IoT System Development

文献类型：期刊论文

作者Chen, Haiming2; Wang, Lei2; Qin, Wei2; Zhou, Xinyan2; Cui, Li1
刊名IEEE TRANSACTIONS ON CLOUD COMPUTING
出版日期2024
卷号12期号:1页码:145-158
关键词Internet of Things Cloud computing Delays Computer architecture Task analysis Peer-to-peer computing Scalability Internet of things (IoT) service discovery vector symbol architecture
ISSN号2168-7161
DOI10.1109/TCC.2023.3344512
英文摘要In recent years, with the widening applications of the Internet of Things (IoT), more and more perception services (e.g., air quality indicator services, road traffic congestion monitoring services, etc) with different arguments (e.g., data type, source location, creator, etc) will be deployed by dedicated IT infrastructure service providers for constructing customized IoT systems with low cost by subscription. So it is an indispensable step to check whether the required perception services with specified arguments have been available for the constructing IoT through discovery method to reduce the redundancy of service deployment. However, it is a challenging problem to design efficient (i.e., achieving high accuracy and low response delay with low overhead), highly robust, and trustworthy mechanisms for discovering perception services on resource-constrained IoT devices. To solve this problem, we proposed a distributed service discovery method, named VSA-SD, based on the Vector Symbolic Architecture (VSA). This method employs hyperdimensional vectors to describe services in a distributed manner, and measures the degree of service matching by calculating the Hamming distance, thereby achieving service discovery. We implemented VSA-SD in NBUFlow, which is an IoT task construction and offloading test platform, and evaluated its performance through comprehensive experiments. Results show that VSA-SD outperforms the centralized, hybrid, and other distributed service discovery mechanisms in terms of accuracy, response delay, overhead, robustness, trustability, interoperability, and mobility.
资助项目Natural Science Foundation of Zhejiang Province
WOS研究方向Computer Science
语种英语
WOS记录号WOS:001181455600022
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/38802]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Chen, Haiming
作者单位1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
2.Ningbo Univ, Fac Elect Engn & Comp Sci, Zhejiang Key Lab Mobile Network Applicat Technol, Ningbo 315211, Zhejiang, Peoples R China
推荐引用方式
GB/T 7714		 Chen, Haiming,Wang, Lei,Qin, Wei,et al. VSA-SD: A Service Discovery Method Based on Vector Symbol Architecture for Low-Cost IoT System Development[J]. IEEE TRANSACTIONS ON CLOUD COMPUTING,2024,12(1):145-158.
APA Chen, Haiming,Wang, Lei,Qin, Wei,Zhou, Xinyan,&Cui, Li.(2024).VSA-SD: A Service Discovery Method Based on Vector Symbol Architecture for Low-Cost IoT System Development.IEEE TRANSACTIONS ON CLOUD COMPUTING,12(1),145-158.
MLA Chen, Haiming,et al."VSA-SD: A Service Discovery Method Based on Vector Symbol Architecture for Low-Cost IoT System Development".IEEE TRANSACTIONS ON CLOUD COMPUTING 12.1(2024):145-158.

入库方式： OAI收割

来源：计算技术研究所

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