2026 IEEE World Congress on SERVICES
(SERVICES 2026)

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.

Click here to download ICWS 2026 CFP Flyer

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