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 Articles will not be published until the final proofs are validated by their authors.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

  • An Intelligent Fuzzy-Based Cascade System for Determining Safe Driving Level in Vehicle Edge Computing and Its Performance Evaluation   Order a copy of this article
    by Yi Liu, Leonard Barolli 
    Abstract: In Vehicular Ad hoc Networks and Internet of Vehicles, stress and frustration while driving can negatively impact safe driving. Thus, managing drivers' stress levels is crucial for improving safety. In this work, we introduce an intelligent system based on Fuzzy Logic (FL) to evaluate safe driving level in a Vehicle Edge Computing (VEC) environment. We implement the proposed system in cascade considering three modules: Driver Anxiety Level (DAL) module, Driver Mental Status (DMS) module and Safe Driving Evaluation Level (SDEL) module. We carried out many simulations to evaluate the performance of each module for different parameters. Simulations results show that DAL is good for drivers aged between 30 and 50 years, but it tends to decrease for young drivers less than 30 or older drivers more than 50. While DMS is good when the driving time is shorter.
    Keywords: Edge Computing; Vehicular Ad hoc Networks; Fuzzy Logic; Safe Driving; IoV.
    DOI: 10.1504/IJWGS.2026.10077947
     

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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