会议信息

ICWS 2026: IEEE International Conference on Web Services

截稿日期:
2026-03-08 已截稿
通知日期:
2026-05-10
会议日期:
2026-07-13
会议地点:
Sydney, Australia
届数:
33
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CCF: B   ICORE: A   QUALIS: A1   浏览: 190514   关注: 125   参加: 27
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会伴指数 (CP-I)

88.7 / 100
全站第 94 名 / 共 5,771 个会议 · 前 2%

信息系统与 Web 第 5 / 254

学术认可 (35%)
100
投稿选择性 (20%)
90
会议传承 (20%)
95
社区关注 (10%)
71
资料公开度 (15%)
65

用到的输入: 收录等级：CCF B, ICORE A, QUALIS A1 · 录用率：20.6%（有记录的 4 届的均值） · 有据可查的届次：33 · 在会伴关注它的研究者：125 人 · 过去 24 个月打开过本页的研究者：24 人

公开资料里还缺: 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 100% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.2 · 算于 2026-11-11

征稿

ICWS 2026 (IEEE International Conference on Web Services) is a CCF B / ICORE A / QUALIS A1 conference held in Sydney, Australia on 2026-07-13. The paper submission deadline is 2026-03-08. Acceptance notifications are sent on 2026-05-10.

The International Conference on Web Services (ICWS) has been a prime international forum for both researchers and industry practitioners to exchange the latest fundamental advances in the state of the art and practice of Web-based services in the era of Agentic AI, to identify emerging research topics, and to define the future of Web-based services. Areas include services modeling, development, publishing, discovery, recommendation, composition, testing, adaptation, and delivery, and Web services applications and standards. All topics relevant to Internet/Web based services are of interest. ICWS will organize refereed paper reviews in 11 research areas (themes): Service Discovery, Selection and Recommendation * Service publishing * Service search engines * Service recommendation * Agent-based service negotiation and binding * Service reasoning and Intent understanding * Intent-driven orchestration & placement Services Composition & Multi-Agent Services * (Multi-Agent) Service Coordination & Cooperation * World Model-based Multi-Agent Service Simulation * Automatic service composition * Scientific workflows * Business process integration and management * Service-based data integration * Data-driven service composition * Knowledge-driven service composition * Service orchestration and choreography for the future Internet * Service protocols for autonomous agents (e.g., MCP, A2A) Services QoS Management * Quality-of-Service (QoS) modeling and management * Service QoS evaluation and prediction * Autonomic services * Web services testing * Performance aspects of cloud and service virtualization * Machine-Negotiable Service Level Agreements (SLAs) * LLM service acceleration for QoS-aware Systems Services Security, Privacy and Trust * Internet service security * Service Privacy and trust * Dependable and secure services * Service auditing * Service policy control * Policy, regulation and governance & Servitization * Secure LLM-as-a-Service: Threat Modeling and Defensive Architectures Service Applications beyond the Web * Web Services for the Internet of Things (IoT) * Services in Cyber-Physical Systems (CPS) * Social networks and services * Cloud services * Edge services * Mobile web services * Satellite service computing * Communication services * XaaS (everything as a service) * Service-based processing and querying * Service-based recommendation and prediction * Crowdsourcing Services, Conversational Services * Services for Artificial Intelligence * (Smart) Cybersecurity services * Other applications Service Oriented Systems * Service-Oriented Architecture (SOA) * Micro-service and service mesh * Service specification and modeling * Service evolution * Service Oriented Software Engineering methodologies * Formal methods in services * Software engineering for adaptive service-oriented systems * Secure service lifecycle development * CI/CD for Service-Oriented Systems AI in Web Services * AI for service customization and personalization * Machine/Deep learning powered service discovery * Graph Data Mining for Services * Process mining, anomaly detection, and data processing methods for service composition * Security and privacy in AI-enhanced service architectures * LLM and Multimodal Models enhanced service discovery, selection, composition * LLM-driven service recommendation: algorithms, models, and performance * Service Reasoning with Generative AI Approaches * Generative AI as a Service (GaaS) * Reinforcement Learning and Transformer Models for Web Services * Security and Privacy in Generative AI-Driven Systems * Innovative Applications of Generative AI in Web Services * AI agent service management and MCP-based architecture Datasets & Benchmarking for Service Computing Community * Development and sharing of standard datasets * Establishment of reliable and meaningful benchmarks * Techniques for dataset creation, pre-processing, curation, and management in service computing * Novel methodologies for performance evaluation using established benchmarks * Benchmarks for large language model services * Benchmarks for LLM agent services Web 3.0 and Decentralized Services * Web 3.0 services leveraging blockchain, smart contracts, and decentralized architectures * Trustless service environments and decentralized applications (dApps) * Interoperability and integration challenges in Web 3.0 services * Service governance, policy enforcement, and legal implications in decentralized ecosystems * Novel service offerings and revenue models for the Web 3.0 landscape Large/Small Model Collaboration Services * Cloud–edge–device collaboration frameworks for large/small model service deployment * Architectures and design patterns for collaborative large and small model services * Service-oriented orchestration and workflow optimization involving large and small model components * Large/small model collaboration for service discovery, selection, and recommendation * Trust, security, and privacy in collaborative large–small model service ecosystems * Agent-based coordination of heterogeneous large and small model services Emerging Technologies for Advanced Service-Oriented Computing: Opportunities, Challenges, and Applications * Quantum Service Computing * Digital Twins * 3D Printing/Additive Manufacturing Techniques * Blockchain * Robotic Process Automation (RPA) * Chatbots and Virtual Assistants * Low-Code / No-Code Solutions * Virtual Reality (VR) and Augmented Reality (AR) * Green IT * 5G Technology * Metaverse/VR/AR services * Industry 4.0 * Sustainability and energy footprint of Service Oriented Systems
由 Dou Sun 最后更新于

录用率

平均录用率: 20.6% 4 年间 (2004–2014).

年份提交数录用数录用率(%)
20141683017.9%
20131272418.9%
20121712917%
20042306628.7%

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相关期刊

CCF全称影响因子出版商ISSN
Journal of Internet Services and ApplicationsSpringer1869-0238
BSoftware & Systems Modeling3.2Springer1619-1366
BPattern Recognition9.1Elsevier0031-3203
BIEEE Transactions on Neural Networks and Learning Systems8.9IEEE1045-9227
BInformation Sciences6.0Elsevier0020-0255
BComputer Networks4.7Elsevier1389-1286
BComputers & Security5.4Elsevier0167-4048
BIEEE Transactions on Intelligent Transportation Systems8.4IEEE1524-9050
BJournal of Systems and Software3.8Elsevier0164-1212
BInformation Processing & Management6.9Elsevier0306-4573

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