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

doi:10.1109/TCC.2023.3344512

	VSA-SD: A Service Discovery Method Based on Vector Symbol Architecture for Low-Cost IoT System Development
	Chen, Haiming 1; Wang, Lei 1; Qin, Wei 1; Zhou, Xinyan 1; Cui, Li 2
	2024
发表期刊	IEEE TRANSACTIONS ON CLOUD COMPUTING
ISSN	2168-7161
卷号	12 期号:1 页码:145-158
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.
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
DOI	10.1109/TCC.2023.3344512
收录类别	SCI
语种	英语
资助项目	Natural Science Foundation of Zhejiang Province
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS记录号	WOS:001181455600022
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/38803
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.Ningbo Univ, Fac Elect Engn & Comp Sci, Zhejiang Key Lab Mobile Network Applicat Technol, Ningbo 315211, Zhejiang, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, 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.