An Effective Fault-Tolerance Technique in Web Services: An Approach based on Hybrid Optimization Algorithm of PSO and Cuckoo Search

Fen He

School of Information Engineering, Guangzhou Nanyang Polytechnic College, China

This email address is being protected from spambots. You need JavaScript enabled to view it.

 Kimia Rezaei Kalantari

Department of Computer Engineering, Sari Branch, Islamic Azad University, Iran

 This email address is being protected from spambots. You need JavaScript enabled to view it.

Ali Ebrahimnejad

Department of Mathematics, Qaemshahr Branch, Islamic Azad University, Iran

This email address is being protected from spambots. You need JavaScript enabled to view it.

*corresponding author

Homayun Motameni

Department of Computer Engineering, Sari Branch, Islamic Azad University, Iran

This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract: Software rejuvenation is an effective technique to counteract software aging in continuously-running application such as web service based systems. In client-server applications, where the server is intended to run perpetually, rejuvenation of the server process periodically during the server idle times increases the availability of that service. In these systems, web services are allocated based on the user’s requirements and server’s facilities. Since the selection of a service among candidates while maintaining the optimal quality of service is an Non-Deterministic Polynomial (NP)-hard problem, Meta-heuristics seems to be suitable. In this paper, we proposed dynamic software rejuvenation as a proactive fault-tolerance technique based on a combination of Cuckoo Search (CS) and Particle Swarm Optimization (PSO) algorithms called Computer Program Deviation Request (CPDR). Simulation results on Web Site Dream (WS-DREAM) dataset revealed that our strategy can decrease the failure rate of web services on average 38.6 percent in comparison with Genetic Algorithm (GA), Decision-Tree (DT) and Whale Optimization Algorithm (WOA) strategies.

Keywords: Software aging, software rejuvenation, web service, cuckoo search, particle swarm optimization.

Received January 2, 2020; accepted March 23, 2021

https://doi.org/10.34028/iajit/19/2/10

Full Text

Read 753 times
Top
We use cookies to improve our website. By continuing to use this website, you are giving consent to cookies being used. More details…