Forthcoming articles

International Journal of Services Operations and Informatics

International Journal of Services Operations and Informatics (IJSOI)

These 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 Articles will not be published until the final proofs are validated by their authors.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 Services Operations and Informatics (1 paper in press)

Regular Issues

  • Hybrid Resource Allocation and Task Scheduling Scheme in Cloud Computing Using Optimal Clustering Techniques   Order a copy of this article
    by Manikandan N., Pravin A. 
    Abstract: In diverse parallel and distributed computing systems, resource allocation is the progression of distributing consumer tasks for processing elements during execution in which some performance intentions are optimized. This document can be explain about the innovative resource allocation algorithm for the computing grid environment. In the scheduling problem of independent task in cloud computing, summarize other scheduling algorithms introduce a modified fuzzy c-means clustering algorithm (MFCM) Our algorithm abstract resource into a model to analyze these characteristics of resources with the MFCM algorithm. From that our proposed technique could decrease a execution time and memory space allocation of the system. For the optimal selection of virtual machines hybrid whale genetic (HWGA) optimization algorithm is used. Since the virtual machines are optimally selected on the basis of feature values, our proposed method provides reduced load balancing as well as improved parallel execution of tasks
    Keywords: Resource Allocation; Scheduling; Fuzzy C-Means Clustering; Whale Optimization; Virtual Machine; Parallel Execution.