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DOI: 10.14569/IJACSA.2016.070749
PDF

Evaluation of Fault Tolerance in Cloud Computing using Colored Petri Nets

Author 1: Mehdi Effatparvar
Author 2: Seyedeh Solmaz Madani

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 7, 2016.

  • Abstract and Keywords
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Abstract: Nowadays, the necessity of rendering reliable services to the customers in business markets is assumed as a crucial matter for the service providers, and the importance of this subject in many fields is undeniable. Design of systems with high complexity and existence of different resources in network cloud leads the service providers to intend to provide the best services to their customers. One of the important challenges for service providers is fault tolerance and reliability and different techniques and methods have been presented for solving this challenge so far. The method presented in this paper analyzes the fault tolerance process in interconnected network cloud in order to avoid problems and irreparable damages before implementation. In the offered method, the fault tolerance was evaluated aiding colored petri nets using Byzantine technique. Summary of results analyzed by cpntools and demonstrated reliability. It was concluded that upon increase of requests, the fault tolerance is reduced and consequently reliability is also reduced and vice versa. In other word, resources management is under impact of requested services.

Keywords: Cloud Computing; Fault Tolerance; Colored Petri Nets; Reliability

Mehdi Effatparvar and Seyedeh Solmaz Madani, “Evaluation of Fault Tolerance in Cloud Computing using Colored Petri Nets” International Journal of Advanced Computer Science and Applications(IJACSA), 7(7), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070749

@article{Effatparvar2016,
title = {Evaluation of Fault Tolerance in Cloud Computing using Colored Petri Nets},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070749},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070749},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {7},
author = {Mehdi Effatparvar and Seyedeh Solmaz Madani}
}



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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