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Service Oriented Computing and Applications (SOCA)

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インパクトファクター:
1.7
出版社:
Springer
ISSN:
1863-2386
閲覧:
23462
フォロー:
3

論文募集

Service Oriented Computing and Applications (SOCA) is an academic journal published by Springer. (ISSN 1863-2386, impact factor 1.7, CCF C).

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
最終更新：Dou Sun（）

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