服务研究的范式转变:以服务组合为例

IF 5.5 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Marco Aiello
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引用次数: 0

摘要

人工智能的最新进展,特别是在机器学习和神经网络方面的进展,对包括服务计算在内的各个领域产生了重大影响。大型语言模型(llm)处于这种转变的前沿,为自动化和决策引入了新的范例。本文研究了llm对服务组合的影响,服务组合是服务计算中的一个基本问题。通过分析研究方法、方法和系统架构的变化,我们强调了法学硕士驱动的自动化如何挑战传统的作曲技术。讨论提供了对新出现的机会、限制和研究方向的见解,强调需要重新思考人工智能驱动的自动化时代的服务组合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Paradigm Shift in Service Research: The Case of Service Composition
Recent advancements in artificial intelligence, particularly in machine learning and neural networks, have significantly influenced various domains, including service computing. Large Language Models (LLMs) are at the forefront of this transformation, introducing new paradigms for automation and decision-making. This paper examines the evolving impact of LLMs on service composition, a fundamental problem in service computing. By analyzing shifts in research approaches, methodologies, and system architectures, we highlight how LLM-driven automation challenges traditional composition techniques. The discussion provides insights into emerging opportunities, limitations, and research directions, emphasizing the need to rethink service composition in the era of AI-driven automation.
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来源期刊
IEEE Transactions on Services Computing
IEEE Transactions on Services Computing COMPUTER SCIENCE, INFORMATION SYSTEMS-COMPUTER SCIENCE, SOFTWARE ENGINEERING
CiteScore
11.50
自引率
6.20%
发文量
278
审稿时长
>12 weeks
期刊介绍: IEEE Transactions on Services Computing encompasses the computing and software aspects of the science and technology of services innovation research and development. It places emphasis on algorithmic, mathematical, statistical, and computational methods central to services computing. Topics covered include Service Oriented Architecture, Web Services, Business Process Integration, Solution Performance Management, and Services Operations and Management. The transactions address mathematical foundations, security, privacy, agreement, contract, discovery, negotiation, collaboration, and quality of service for web services. It also covers areas like composite web service creation, business and scientific applications, standards, utility models, business process modeling, integration, collaboration, and more in the realm of Services Computing.
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