Conference Information

ICWS 2026: IEEE International Conference on Web Services

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Submission Date:
2026-03-08
Notification Date:
2026-05-10
Conference Date:
2026-07-13
Location:
Sydney, Australia
Years:
33
CCF: B   ICORE: A   QUALIS: A1   Viewed: 188403   Tracked: 125   Attend: 27

Conference Partner Index (CP-I)

88.7 / 100
Ranked #88 of 5,647 conferences · Top 2%

#5 of 253 in Information Systems & Web

Academic recognition (35%)
100
Submission selectivity (20%)
90
Editions held (20%)
95
Community attention (10%)
70
Public record completeness (15%)
65

Inputs used: Listed as CCF B, ICORE A, QUALIS A1 · Acceptance rate: 20.6% (mean of 4 editions on file) · Editions on record: 33 · Researchers following it here: 125 · Researchers who opened this page in the past 24 months: 22

Missing from the public record: Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 100% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-03

Call For Papers

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
Last updated by Dou Sun on

Acceptance Ratio

Average acceptance rate: 20.6% over 4 years (2004–2014).

YearSubmittedAcceptedAccepted(%)
20141683017.9%
20131272418.9%
20121712917%
20042306628.7%

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