CCF: B ICORE: A QUALIS: A1 Viewed: 178810 Tracked: 125 Attend: 27
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
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