Exact calculation of computer network reliability

Networks ◽  
1974 ◽  
Vol 4 (2) ◽  
pp. 95-112 ◽  
Author(s):  
E. Hänsler ◽  
G. K. McAuliffe ◽  
R. S. Wilkov
Keyword(s):  
Computer Network ◽  
Network Reliability ◽  
Exact Calculation

Exact calculation of computer network reliability

1972 ◽  
Author(s):  
E. Hänsler ◽  
G. K. McAuliffe ◽  
R. S. Wilkov
Keyword(s):  
Computer Network ◽  
Network Reliability ◽  
Exact Calculation

scholarly journals Modelling Reliability Characteristics of Technical Equipment of Local Area Computer Networks

Electronics ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 955
Author(s):  
Vasyl Teslyuk ◽  
Andriy Sydor ◽  
Vincent Karovič ◽  
Olena Pavliuk ◽  
Iryna Kazymyra
Keyword(s):  
Large Scale ◽  
Computer Network ◽  
Network Reliability ◽  
Local Area ◽  
Technical Equipment ◽  
Time To Failure ◽  
Reliability Parameters ◽  
Reliability Characteristics ◽  
Global World ◽  
Level 2

Technical systems in the modern global world are rapidly evolving and improving. In most cases, these are large-scale multi-level systems and one of the problems that arises in the design process of such systems is to determine their reliability. Accordingly, in the paper, a mathematical model based on the Weibull distribution has been developed for determining a computer network reliability. In order to simplify calculating the reliability characteristics, the system is considered to be a hierarchical one, ramified to level 2, with bypass through the level. The developed model allows us to define the following parameters: the probability distribution of the count of working output elements, the availability function of the system, the duration of the system’s stay in each of its working states, and the duration of the system’s stay in the prescribed availability condition. The accuracy of the developed model is high. It can be used to determine the reliability parameters of the large, hierarchical, ramified systems. The research results of modelling a local area computer network are presented. In particular, we obtained the following best option for connecting workstations: 4 of them are connected to the main hub, and the rest (16) are connected to the second level hub, with a time to failure of 4818 h.

Construction of the Computer Network Reliability Evaluation System

2014 ◽  
Vol 529 ◽  
pp. 710-715 ◽  
Author(s):  
Xin Chang Zhang ◽  
Mo Yi Duan ◽  
Li Qun Wang
Keyword(s):  
Simulated Annealing ◽  
Evaluation System ◽  
Evaluation Method ◽  
Simulated Annealing Algorithm ◽  
Computer Network ◽  
Network Reliability ◽  
Genetic Simulated Annealing Algorithm ◽  
Operation Rules ◽  
Depth Study ◽  
Annealing Algorithm

This research team proposes a network survivability evaluation method (Survivability Algorithm based on Immune Clonal Simulated Annealing, SAICSA), is used to solve the problem of network congestion due to link failure in communication network. The method by establishing the clone variation and the clone crossover operation rules, combined with the simulated annealing acceptance criteria to obtain the optimal annealing temperature tends to zero. At the same time, simulation experiment is carried out to the actual data, in-depth study of the relationship between network validity and effect the number of edges, the initial temperature and other factors. The results show that, compared to the immunization program of simulated annealing algorithm and genetic simulated annealing algorithm, SAICSA algorithm shows good adaptability.

scholarly journals Evaluation of Network Reliability for Computer Networks with Multiple Sources

2012 ◽  
Vol 2012 ◽  
pp. 1-18 ◽  
Author(s):  
Yi-Kuei Lin ◽  
Louis Cheng-Lu Yeng
Keyword(s):  
New York ◽  
Computer Networks ◽  
Land Surface ◽  
Computer Network ◽  
Network Reliability ◽  
Network Models ◽  
Critical Issue ◽  
The United States ◽  
Service Level ◽  
Multiple Sources

Evaluating the reliability of a network with multiple sources to multiple sinks is a critical issue from the perspective of quality management. Due to the unrealistic definition of paths of network models in previous literature, existing models are not appropriate for real-world computer networks such as the Taiwan Advanced Research and Education Network (TWAREN). This paper proposes a modified stochastic-flow network model to evaluate the network reliability of a practical computer network with multiple sources where data is transmitted through several light paths (LPs). Network reliability is defined as being the probability of delivering a specified amount of data from the sources to the sink. It is taken as a performance index to measure the service level of TWAREN. This paper studies the network reliability of the international portion of TWAREN from two sources (Taipei and Hsinchu) to one sink (New York) that goes through a submarine and land surface cable between Taiwan and the United States.

The Application of Improved Genetic Algorithms in Computer Network Reliability Optimization

2013 ◽  
Vol 765-767 ◽  
pp. 1564-1567
Author(s):  
Li Yan Wang ◽  
Xian Feng Zheng
Keyword(s):  
Genetic Algorithm ◽  
Optimization Design ◽  
Computer Network ◽  
Network Reliability ◽  
Reliability Optimization ◽  
Improved Genetic Algorithm ◽  
Algorithm Optimization ◽  
Network Link ◽  
Link Cost ◽  
Medium Cost

To decrease network link cost is one of the most important pairs for computer network reliability optimization design. In order to make the network cost minimum, the network link medium cost, mathematics model of reliability and resolve algorithm must be considered when it is designed. In the paper, we present an improved genetic algorithm used in optimization calculation for minimizing total link cost and increasing the reliability of the network. Executive procedures of the improved algorithm are described. The simulation results show that improved genetic algorithm provides a method to resolves the network reliability optimization problem which normal approach can not resolve. By using the maneuverable algorithm, optimization process is accelerated, efficiency is increased.

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