Forthcoming Articles

International Journal of Web and Grid Services

International Journal of Web and Grid Services (IJWGS)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Web and Grid Services (2 papers in press)

Regular Issues

  • Sensitive, Critical and Real Time Application Deployed as a Web Service in a Multicloud Architecture   Order a copy of this article
    by Rihem Zorgati, Hamdi Hassen, Khalil Ahmad Alsulbi 
    Abstract: Healthcare, financial, and online educational applications with real-time and sensitivity demands require low latency, high availability, and elastic infrastructure. Traditional single-cloud strategies often cannot provide these reliability and performance levels. We present in this paper a Cloud Broker (CB)-based multicloud system that dynamically allocates workloads among multiple vendors such as AWS, Azure, and GCP based on performance. Unlike conventional multicloud deployments, our approach utilizes adaptive deployment strategies to minimize response times and enhance fault tolerance. Experimental findings suggest that the CB modelreduces latency by up to 93%in mission-critical situations such as authentication, medical diagnosis, and financial transactions. This design offers a practical, scalable, and fault-tolerant framework for mission-critical real-time applications with an emphasis on trade-offs in operational complexity and cost-performance.
    Keywords: Sensitive; Critical; Real Time Application; Web Service; Distributed Computing; Multicloud; Cloud Broker; IoT.
    DOI: 10.1504/IJWGS.2026.10079887
     

Special Issue on: Emerging Technology in Big Data, AI, and Green Learning Driving Towards Sustainable Web Service Development

  • Optimality and Scalability of Semantic Web Service Composition with Hierarchical Parameter Relationship
    by Jung-Woon Yoo 
    Abstract: Semantic web service composition considers semantics for finding better solutions than syntactic web service composition. This paper focuses on hierarchical relationships among parameters of web services. A comprehensive mathematical model for semantic web service composition, into which hierarchical parameter relationships are incorporated, is presented as a general mathematical formulation. Experimental results demonstrate that the mathematical model for semantic composition finds hidden and better solutions that syntactic composition cannot find. The optimality of the solutions is empirically verified through extensive experiments. Furthermore, the scalability of the model is tested by comprehensive experiments to explore the impacts of eight key factors on web service composition. The mathematical model and the provided data sets are expected to serve as benchmarking tools for performance evaluation of heuristic algorithms for semantic web service composition. Finally, a web application is presented to visualize the semantic web service composition process, which is developed using the Django framework.
    Keywords: AI Planning; Web Service Composition; Semantics; Parameter Hierarchy; Mathematical Modeling.

 

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