Aims and scope

The aim of Service-Oriented Computing & Applications is to publish original and high quality research results on the service-oriented computing (SOC) paradigm, models and technologies that have significant contributions to the advancement of service oriented systems and their applications.

Service-oriented computing has emerged as a major research topic in the past few years. Although the concept has evolved from earlier component-based software frameworks, web service standards are based on the readily and openly available internet protocols, and thus are easier and cheaper for companies to adopt. The strong support from major computer and IT service companies further speeds up the acceptance and adoption of SOC.

However, service developers and users face many significant challenges and opportunities that are introduced by the dynamism of software service environments and requirements. This requires new concepts, methods, models, and technologies along with flexible and adaptive infrastructure for services developments and management in order to facilitate the on-demand integration and formation of services across different platforms and organizations. The success of service-oriented systems relies on the adoption of the derived technologies to meet the demands from the evolving environment.

The journal focuses on the issues and research results related to the development of service-oriented technology, including service infrastructures, theoretical foundations and their applications and experiences in service-oriented computing. Topics covered by the journal include, but are not limited to, the following subjects as they relate to service-oriented computing and applications:

Foundations of Service-Oriented Computing:

Service design
Service discovery
Microservice
Service Software engineering
Service deployment
Service orchestration/composition
Quality of Service

Intelligent Service Computing:

Architectures and frameworks for intelligent service computing
Integration of AI techniques
Intelligent service discovery, composition, and orchestration
NLP for service interoperation and interpretation
Prompt engineering for services

Cloud Services and Big Data:

Cloud, fog, edge computing
Cloud service management
Cloud sustainability and Green ICT (services)
Computing continuum
Data-driven service quality assessment and improvement
Big data analytics for services

Everything as a Service:

Software as a Service (SaaS)
Platform as a Service (PaaS)
Infrastructure as a Service (IaaS)
Data as a Service
IoT as a service
Metaverse as a Service
AI as a Service (Services for AI and AI for Services)
Container as a Service

Services and Humans:

Human-robot collaboration in service delivery and assistance
Personalized and context-aware service provisioning
Services for Human-AI interaction and collaboration
Cognitive Services

Security, Privacy, and Trust:

Security and privacy challenges in AI-driven service ecosystems
Trustworthiness and reliability of intelligent service provisions
Ethical intelligent services
Blockchain, Explainable and transparent intelligent services

Service-Oriented Applications:

Real-world applications of intelligent service computing in various domains (e.g., healthcare, finance, e-commerce, logistics, energy, transportation etc.)
Quantum service architectures and experiences
Robotics and service architectures for robotics, Smart Cities, Smart Buildings, Smart Grids
Success stories and lessons learned from service deployments