Abstract
Multistage interconnection networks (MINs) are highly demand in switching process environment. MINs are well known for its cost efficiency which enables economic solution in communication and interconnection. Important features in interconnection topologies are improvement toward performance and increment of reliability. In general, the importance of the reliability will be proportionally increased with the increment of size as well as system complexity. In this paper, we proposed replicated shuffle exchange network and compared with Benes and shuffle exchange network (SEN) topology to investigate the behavior analysis of MINs reliability. Three types of behaviors, namely basic stage, extra stage, and replicated stage, have been compared in this paper. The results show that replicated network provides highest reliability performance among all topological measured.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Tutsch D and Hommel G.: Multilayer multistage interconnection networks, Proceedings of 2003 Design Analysis and Simulation of Distributed System. Orlando, 155–162, (2013).
Soni S, Dhaliwal A.S. and Jalota A.: Behavior Analysis of Omega Network Using Multi-Layer Multi-Stage Interconnection Network”, International Journal of Engineering Research and Applications. 4, 4, 127–130 (2014).
Yunus N.A.M, Othman M., Hanapi Z.M. and Kweh Y.L.: Reliability Review of Interconnection Networks, IETE Technical Review. 33, 6, 596–606, (2016).
Aulah N.S.: Reliability Analysis of MUX-DEMUX Replicated Multistage Interconnection Networks, Experimental Techniques. 19–22 (2016).
Bistouni F. and Jahanshahi M.: Analyzing the reliability of shuffle-exchange networks using reliability block diagrams, Reliability Engineering and System Safety. 132. 97–106, (2014).
Jahanshahi M. and Bistouni F.: Improving the reliability of Benes network for use in large-scale systems, Microelectronics Reliability, 55. 679–695 (2015).
Tutsch D.: Performance Analysis of Network Architecture, Springer-Verlag Berlin Heidelberg (2006).
Yunus N.A.M. and Othman M.: Reliability Evaluation for Shuffle Exchange Interconnection Network. Procedia Computer Science. 59. 162–170, (2015).
Rajkumar S. and Goyal N.K.: Reliability Analysis of Multistage Interconnection Networks. Quality and Reliability Engineering International. 32. 8. 3051–3065, (2015).
Bistouni F. and Jahanshahi M.: Pars Network: A multistage interconnection network with fault tolerance capability, Journal of Parallel Distributed and Computing.168–183, (2015).
Gunawan I.: Reliability Analysis of Shuffle-Exchange Systems, Reliability Engineering and System Safety, 93. 2. 271–276, (2008).
Gunawan I. and Fard N.S.: Terminal reliability assessment of gamma and extra-stage gamma networks. International Journal Quality Reliability Management. 29. 820–831, (2012).
Gunawan I. Sellapan P. and Lim C.S.: Extra Stage Cube Network Reliability Estimation Using Stratified Sampling Monte Carlo Method, Engineering e-Transaction.1. 13–18, (2006).
Moudi M., Othman M., Kweh Y.L., and Rahiman A.R.A. x-Folded TM.: An efficient topology for interconnection networks, Journal of Network and Computer Applications, 73. 27–34, (2016).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Chinnaiah, B. (2019). Multistage Interconnection Networks in Reliability Shuffle Exchange Networks. In: Bapi, R., Rao, K., Prasad, M. (eds) First International Conference on Artificial Intelligence and Cognitive Computing . Advances in Intelligent Systems and Computing, vol 815. Springer, Singapore. https://doi.org/10.1007/978-981-13-1580-0_55
Download citation
DOI: https://doi.org/10.1007/978-981-13-1580-0_55
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-1579-4
Online ISBN: 978-981-13-1580-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)