Federated Services: A Smart Service Ecology with Federated Security for Aligned Data Supply and Scenario-Oriented Demands

IF 15.3 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Xiaofeng Jia;Juanjuan Li;Shouwen Wang;Hongwei Qi;Fei-Yue Wang;Rui Qin;Min Zhang;Xiaolong Liang
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引用次数: 0

Abstract

This paper introduces federated services as a smart service ecology with federated security to align distributed data supply with diversified service demands spanning digital and societal contexts. It presents the comprehensive researches on the theoretical foundation and technical system of federated services, aiming at advancing our understanding and implementation of this novel service paradigm. First, a thorough examination of the characteristics of federated security within federated services is conducted. Then, a five-layer technical framework is formulated under a decentralized intelligent architecture, ensuring secure, agile, and adaptable service provision. On this basis, the operational mechanisms underlying data federation and service confederation is analyzed, with emphasis on the smart supply-demand matching model. Furthermore, a scenario-oriented taxonomy of federated services accompanied by illustrative examples is proposed. Our work offers actionable insights and roadmap for realizing and advancing federated services, contributing to the refinement and wider adoption of this transformative service paradigm in the digital era.
联合服务:具有联合安全的智能服务生态,用于一致的数据供应和面向场景的需求
本文介绍了联邦服务作为具有联邦安全的智能服务生态,以使分布式数据供应与跨越数字和社会环境的多样化服务需求保持一致。对联邦服务的理论基础和技术体系进行了全面的研究,旨在促进我们对这种新型服务范式的理解和实现。首先,对联邦服务中的联邦安全特征进行彻底的检查。然后,在分散的智能架构下,形成五层技术框架,保证服务提供的安全性、敏捷性和适应性。在此基础上,分析了数据联合和服务联合的运行机制,重点研究了智能供需匹配模型。此外,还提出了一种面向场景的联邦服务分类法,并附有说明性示例。我们的工作为实现和推进联邦服务提供了可操作的见解和路线图,有助于在数字时代改进和更广泛地采用这种变革性服务范式。
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来源期刊
Ieee-Caa Journal of Automatica Sinica
Ieee-Caa Journal of Automatica Sinica Engineering-Control and Systems Engineering
CiteScore
23.50
自引率
11.00%
发文量
880
期刊介绍: The IEEE/CAA Journal of Automatica Sinica is a reputable journal that publishes high-quality papers in English on original theoretical/experimental research and development in the field of automation. The journal covers a wide range of topics including automatic control, artificial intelligence and intelligent control, systems theory and engineering, pattern recognition and intelligent systems, automation engineering and applications, information processing and information systems, network-based automation, robotics, sensing and measurement, and navigation, guidance, and control. Additionally, the journal is abstracted/indexed in several prominent databases including SCIE (Science Citation Index Expanded), EI (Engineering Index), Inspec, Scopus, SCImago, DBLP, CNKI (China National Knowledge Infrastructure), CSCD (Chinese Science Citation Database), and IEEE Xplore.
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