vol25no2pa5

References

[1] Hao S., Xiaoxia C, Hong C. Study on parameter evaluation system of communication network. Procedia Computer Science 2017; 107: 584 – 589.
[2] Fauzan HR. Implementation of prim’s and Kruskal’s algorithms on maze generation. Makalah IF2120 Matematika Diskrit Sem 2013; Tahun.
[3] Musaria M, Abdulla L, Al-Naima F. Hybrid algorithm for complex communication networks reliability evaluation. First International Scientific conference 2014; Erbil, Iraq. Cihan University: p. 1 7.
[4] Yong KL, Soh S, Rai S. Computer communication network upgrade for optimal capacity related reliability. Asia-Pacific Conference on Communic-ations, Perth 2005, Western Australia: p. 1102-1106.
[5] Mahmood MK, Al-Naima FM, Abdulla LS. An efficient multi-stages algorithm for the determination of communication network reliability. International Journal of Computers and Communications 2015; 9: 36-43.

[6] Yang X, Liu Y, Mi C, Tang C. System reliability analysis through active learning kriging model with truncated candidate region. Reliability Engineering and System Safety Journal 2018; 169: 235-241
[7] Gaun A, Rechberger G, Renner H, Lehtonen M. Enumeration based reliability assessment algorithm considering nodal uncertainties. IEEE Power and Energy Society General Meeting 2010 July; Minneapolis. p. 1-8.
[8] Rebaiaia M, Ait-Kadi D, Merlano AA. Practical algorithm for network reliability evaluation based on the factoring theorem – a case study of a generic radio-communication system. Journal of Quality 2009; 16 (5): 223-236.
[9] Al-Muhaini M, Heydt GT. Minimal cut sets, petri nets, and prime number encoding in distribution system reliability evaluation. IEEE Transmission and Distribution Conference and Exposition 2012 May; Orlando: p. 1-8.
[10] Gupta N, Swarnkar A, Niazi KR. Distribution network reconfiguration for power quality and reliability improvement using Genetic Algorithms. Electrical Power and Energy Systems 2014; 54: 664 670.
[11] Stern RE, Song J. Accelerated Monte Carlo system reliability analysis through machine-learning-based surrogate models of network connectivity. Reliability Engineering and System Safety Journal 2017; 164: 1 9.

Tikrit Journal of Engineering Sciences (2018) 25(2) 35- 39

Analysis, Modeling, and Design of a Reliable Wide Area Network Case Study for Tikrit University Intranet

Musaria Karim Mahmood		Sufyan H. Ali	Ibrahim Khalil Sileh
Department of Electrical Engineering, Tikrit University, Iraq, Visiting Prof. at Atilim University, Turkey		Department of Electrical Engineering, Tikrit University, Iraq

Abstract

This work presents the analysis and modeling of communication network used for data transmission with multi-protocols in campus network. The designed network is based on the geographical location of communication nodes. (Colleges and centers). Network optimal backbone is first designed by Kruskal algorithm. It will be subject to reliability improvement by links addition. Tie-sets method is used to evaluate the network reliability. Communication nodes are modeled using local area network (LAN), server, links, router, switch, and Firewall. Intranet will be used as communication backbone mainly to connect different communication nodes with the Principal Communication Center (PCC) where the System Server (SS) is located. The connection of Intranet to the Internet is mad via the front-end system server (SS). Tikrit University Intranet (TUI) is taking as case study in the present research. Tikrit University sites are grouped into master communication nodes. Each node is composed from several colleges, centers, and administrative sections.

Download Full-text PDF

Keywords: WAN, intranet, ethernet, network reliability, protocols.

How to cite

TJES: Mahmood MK, Ali SH, Sileh IK. Analysis, modeling, and design of a reliable wide area network case study for Tikrit university intranet. Tikrit Journal of Engineering Sciences 2018; 25 (2): 35-39.

APA: Mahmood, M. K., Ali, S. H., & Sileh, I. K. (2018). Analysis, modeling, and design of a reliable wide area network case study for Tikrit university intranet. Tikrit Journal of Engineering Sciences, 25(2), 35-39.

Loading...

Taking too long?