You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

From Reliable Distributed System Toward Reliable Cloud by Cat Swarm Optimization

Authors:

Reza Shojaee , Hamid Reza Faragardi, Nasser Yazdani

Publication Type:

Journal article

Venue:

International Journal of Information and Communication Technology

DOI:

https://www.dropbox.com/s/845ygtn3z9zus3y/IST_journal.pdf


Abstract

Distributed Systems (DS) are usually complex systems composed of various components and cloud is a common type of DSs. Reliability is a major challenge for the design of cloud systems and DSs in general. In this paper an analytical model to analyze reliability in DSs with regards to task allocation was presented. Subsequently, this model was modified and a new model to analyze reliability in cloud systems with regards to Virtual Machine(VM) allocation was suggested. On the other hand, optimal task allocation in DSs is an NP-hard problem, thus finding exact solutions are limited to small-scale problems. This paper presents a new swarm intelligence technique based on Cat Swarm Optimization (CSO) algorithm to find near optimal solution. For evaluating the algorithm, CSO is compared with Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The experimental results show that in contrast to PSO and GA, CSO acquires acceptable reliability in reasonable execution time.

Bibtex

@article{Shojaee3492,
author = {Reza Shojaee and Hamid Reza Faragardi and Nasser Yazdani},
title = {From Reliable Distributed System Toward Reliable Cloud by Cat Swarm Optimization},
volume = {5},
number = {4},
pages = {9--18},
month = {August},
year = {2013},
journal = {International Journal of Information and Communication Technology},
url = {http://www.es.mdh.se/publications/3492-}
}