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Journal of Reliable Intelligent Environments - Topical Collection on Emerging Trends in Future Intelligent and Reliable Service Systems

Description

Service computing as a computing paradigm developed in tandem with Internet, WWW, and social networks. Today, it dominates the value chain from data and information to knowledge computing. It provides the means and methods to deliver value to users. The early development of service computing is closely tied to Web Services, but with the rapid development of Cloud Computing, AI, Big Data, IoT and Mobile Computing, services are no longer limited to the Web only. Many new service computing paradigms have emerged, from IaaS, PaaS, SaaS to today’s MaaS (Model as a Service). Researchers have also proposed novel paradigms like Big Services, Internet of Services, Crossover Services, and Metaverse Services.

Nowadays, service computing systems pursue not just better intelligence, but also higher reliability as they are no longer a mere virtual entity, but also intertwined with the physical world, e.g., in IoT applications. There are expectations for machines to exhibit advanced autonomy and deliver sophisticated capabilities reliably through IT service systems in intelligent cyber-physical environment. However, new challenges also arise:

  • How to build and deploy future reliable intelligent service applications and systems in intelligent cyber-physical environment?
  • How to better assure and optimize quality of service infrastructure, such as those based on microservices architectures and decentralized blockchain architectures?
  • How to protect user privacy in various intelligent service applications such as smart city, smart ocean, smart home, smart farm and autonomous cars?
  • Are the intelligent algorithms underlying service provision/ optimization/ recommendation for reliable environment explainable?

To address these issues, we need to advance research on novel computing paradigms for service computing. The goals encompass endowing services with next-generation intelligence as well as engineering reliability, trustworthy and accountability into the fabric of service systems.

Topic of Interest

This topical collection seeks contributions at the intersection of advances in AI, IoT and service computing. We are interested in innovative techniques, systems, and applications that address the needs for intelligence, efficiency, reliability, and trust in emerging service systems and applications. Articles demonstrating the use of real sensing infrastructure will be given priority. Topics of interest include but are not limited to:

  • Intelligence and personalization of services in various intelligent environment, e.g., smart city, smart ocean, smart home, smart farm, autonomous cars, etc.
  • Explainability and fairness in intelligent algorithms for reliable intelligent environment
  • Quality assurance in cloud-native and serverless architectures
  • Computing paradigms specialized for next-generation services in reliable intelligent environment
  • Convergence of cloud, edge, IoT and decentralized paradigms
  • Convergence of IoT big data and business process management paradigms
  • Large language model-based AI agents and services, LLM-augmented services/agents orchestration in reliable intelligent environment
  • Reliability engineering for emerging applications like 6G, cyber-physical and blockchain based applications
  • Security, privacy and provenance in services and distributed data
  • Service/Microservice governance for reliability
  • Case studies of future intelligent and reliable service applications and systems

Guest Editors

Jian Yu, Auckland University of Technology, Australia, jian.yu@aut.ac.nz
Guiling Wang, North China University of Technology, China, wangguiling@ncut.edu.cn
Marc Hesenius, University of Duisburg-Essen, Germany, marc.hesenius@uni-due.de

Paper submission deadline: April 15, 2024

Submission Guideline

Submissions for the topical collection should follow the submission format and guidelines (https://link.springer.com/journal/40860/submission-guidelines (this opens in a new tab)).
Authors should select the TC ‘Emerging Trends in Future Intelligent and Reliable Service Systems’ during the submission process.
The submitted papers must provide original research that has not been published nor currently under review by other venues. Conference papers need to be extended at least by 30% and should be clearly identified with an explanation  how such papers have been extended and why they should be considered for this collection. 

Review Process

Guest editors will make an initial determination of the suitability and scope of all submissions. Papers will be evaluated based on their originality, presentation, relevance and contributions, as well as their suitability to the special issue. Papers that either lack originality, clarity in presentation or fall outside the scope of the special issue will not be sent for review and the authors will be promptly informed in such cases.
A single blind peer review procedure will follow in order to perform an objective and robust review of all the manuscripts. Every manuscript will be sent to at least two international reviewers, with recognized experience in the field. 

Access to the Collection page at https://link.springer.com/collections/bjgdhggcad (this opens in a new tab) 

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