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DOI: 10.14569/IJACSA.2019.0100633
PDF

Predictive Method for Service Composition in Heterogeneous Environments within Client Requirements

Author 1: Saleh M. Altowaijri

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 6, 2019.

  • Abstract and Keywords
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Abstract: Cloud computing is a new delivery model for Information Technology services. Many actors and parameters play an important role in provisioning of dynamically elastic and virtualized resources at the levels of infrastructures, platforms, and softwares. Nowadays, many cloud services are competing and present often similar offers. From the customer side, it is not always easy to select a suitable service according to customer requirements and cloud services scoring. In a real-world scenario, this is more complicated since service scoring may change over time. Besides this, it interferes with many parameters such as hardware, network infrastructure, customer demand, etc. To tackle this issue, this research work presents a novel approach for the prediction of the future score of any service in order to satisfy user requirements when executing service composition in cloud environments. This approach deals with regression techniques in order to predict the expected future offer of service based on sampling service’s history as well as user expectations.

Keywords: Workflow; robust regression; prediction; cloud computing

Saleh M. Altowaijri, “Predictive Method for Service Composition in Heterogeneous Environments within Client Requirements” International Journal of Advanced Computer Science and Applications(IJACSA), 10(6), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100633

@article{Altowaijri2019,
title = {Predictive Method for Service Composition in Heterogeneous Environments within Client Requirements},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100633},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100633},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {6},
author = {Saleh M. Altowaijri}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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