Información de la conferencia

ICWS 2026: IEEE International Conference on Web Services

Día de Entrega:
2026-03-08 Cerrado
Fecha de Notificación:
2026-05-10
Fecha de conferencia:
2026-07-13
Ubicación:
Sydney, Australia
Ediciones:
33
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CCF: B   ICORE: A   QUALIS: A1   Vistas: 190513   Seguidores: 125   Asistentes: 27
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Índice Conference Partner (CP-I)

88,7 / 100
Puesto n.º 94 de 5.771 congresos · 2% superior

N.º 5 de 254 en Sistemas de información y Web

Reconocimiento académico (35%)
100
Selectividad en la revisión (20%)
90
Ediciones celebradas (20%)
95
Atención de la comunidad (10%)
71
Integridad del registro público (15%)
65

Datos utilizados: Categorías: CCF B, ICORE A, QUALIS A1 · Tasa de aceptación: 20.6% (media de 4 ediciones registradas) · Ediciones documentadas: 33 · Investigadores que lo siguen aquí: 125 · Investigadores que abrieron esta página en los últimos 24 meses: 24

Falta en el registro público: Ediciones anteriores (+3,0) · Premios al mejor artículo (+2,3)
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Confianza 100 %: la parte de la puntuación respaldada por datos observados y no por la línea base neutra. Cómo se calcula esta puntuación · Ver la clasificación · Versión del algoritmo 1.2 · Calculado el 2026-11-11

Solicitud de Artículos

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
Última actualización por Dou Sun el

Tasa de aceptación

Tasa de aceptación media: 20.6% en 4 años (2004–2014).

AñoEnviadosAceptadosAceptados(%)
20141683017.9%
20131272418.9%
20121712917%
20042306628.7%

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Revistas Relacionadas

CCFNombre CompletoFactor de ImpactoEditorISSN
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BIEEE Transactions on Neural Networks and Learning Systems8.9IEEE1045-9227
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BIEEE Transactions on Intelligent Transportation Systems8.4IEEE1524-9050
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BInformation Processing & Management6.9Elsevier0306-4573

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