The Analysis and Evaluation Method of Network Performance and the Method Study of Computer Simulation

2014 ◽  
Vol 556-562 ◽  
pp. 5752-5755
Author(s):  
Rong Hua Tan
Keyword(s):  
Computer Simulation ◽  
Analytical Method ◽  
Network Performance ◽  
Evaluation Method ◽  
Computer Network ◽  
Simulation Method ◽  
Simulation Framework ◽  
Main Method ◽  
Analysis And Evaluation ◽  
Latency Jitter

Generally, the methods to evaluate network performance include analytical method, numerical method and simulation method. Nowadays, emulation is the main method to analyse computer network communication system. This paper discusses a general approach to evaluate network performance which includes bandwidth, latency, jitter, throughput and computer simulation method to analyse LAN performance. A network simulation framework is also introduced in this paper.

Study on Evaluation and Computer Simulation Methods of Network Performance

2013 ◽  
Vol 846-847 ◽  
pp. 1427-1430
Author(s):  
Li Ling Cheng ◽  
Jun Tan
Keyword(s):  
Computer Simulation ◽  
Network Performance ◽  
Local Area Network ◽  
Simulation Method ◽  
Local Area ◽  
Network System ◽  
Area Network ◽  
Simulation Methods ◽  
Analysis Method ◽  
General Method

The methods of the evaluation of network performance include analysis method, numerical method and simulation method. And the simulation method is the main way to analyze the performance of network system. The paper discusses the general method of the analysis on the performance of network and the simulation method of the analysis on local area network.

A Novel Network Survivability Analysis and Evaluation Model

2013 ◽  
Vol 347-350 ◽  
pp. 2082-2088
Author(s):  
Chun Lei Wang ◽  
Dong Xia Wang ◽  
Qing Miao ◽  
Liang Ming ◽  
Lan Fang ◽  
...  
Keyword(s):  
Network Performance ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Evolutionary Game ◽  
Multiple Criteria Decision Making ◽  
Dynamic Game ◽  
Network Survivability ◽  
Game Model ◽  
Network System ◽  
Analysis And Evaluation

Network survivability has the characteristics of complexity, dynamic evolution and uncertainty, which has become one of the most important factors for analyzing and evaluating network performance. Network survivability analysis and evaluation is a process of analyzing and quantifying the degree to which network system can survive in network threats. This paper proposes a novel network survivability analysis and evaluation model.Firstly, network survivability is abstracted as a dynamic game process among network attacker, network defender and normal user, thereafter network survivability evolutionary game model is established and network survivability analysis algorithm is proposed based on the game model. Secondly, the survivability characteristics of the network can be measured and evaluated based on the analyzed information based on the proposed immune evolutionary algorithm for network survivability metric weight solving and network survivability evaluation method using multiple criteria decision making. Finally, the proposed network survivability analysis and evaluation model is experimented in a typical network environment and the correctness and effectiveness of the model is validated through experimental analysis.

Utility analysis and evaluation method study of side channel information

2013 ◽  
Vol 30 (5) ◽  
pp. 500-508
Author(s):  
Yingjian Yan ◽  
Jingchao Yu ◽  
Pengfei Guo ◽  
Jianfei Guo
Keyword(s):  
Evaluation Method ◽  
Side Channel ◽  
Utility Analysis ◽  
Analysis And Evaluation ◽  
Channel Information

scholarly journals Using Computer Simulation Method to Improve Throughput of Production Systems by Buffers and Workers Allocation

2015 ◽  
Vol 6 (4) ◽  
pp. 60-69 ◽  
Author(s):  
Sławomir Kłos ◽  
Peter Trebuna
Keyword(s):  
Computer Simulation ◽  
Production System ◽  
Production Systems ◽  
Simulation Method ◽  
System Throughput ◽  
Buffer Allocation ◽  
Simulation Experiments ◽  
Buffer Capacities ◽  
The Relationship ◽  
Support Decision Making

Abstract This paper proposes the application of computer simulation methods to support decision making regarding intermediate buffer allocations in a series-parallel production line. The simulation model of the production system is based on a real example of a manufacturing company working in the automotive industry. Simulation experiments were conducted for different allocations of buffer capacities and different numbers of employees. The production system consists of three technological operations with intermediate buffers between each operation. The technological operations are carried out using machines and every machine can be operated by one worker. Multi-work in the production system is available (one operator operates several machines). On the basis of the simulation experiments, the relationship between system throughput, buffer allocation and the number of employees is analyzed. Increasing the buffer capacity results in an increase in the average product lifespan. Therefore, in the article a new index is proposed that includes the throughput of the manufacturing system and product life span. Simulation experiments were performed for different configurations of technological operations.

Breast Cancer: Computer Simulation Method for Estimating Optimal Intervals for Screening

Radiology ◽  
1999 ◽  
Vol 212 (2) ◽  
pp. 551-560 ◽  
Author(s):  
James S. Michaelson ◽  
Elkan Halpern ◽  
Daniel B. Kopans
Keyword(s):  
Breast Cancer ◽  
Computer Simulation ◽  
Simulation Method ◽  
Computer Simulation Method

scholarly journals Traffic Modeling Using Raw Packet Generator on Corporate Computer Network

2018 ◽  
pp. 1-10
Author(s):  
A. Danladi ◽  
G. P. Vasira
Keyword(s):  
Network Performance ◽  
Pareto Distribution ◽  
Computer Network ◽  
Fractal Dimensions ◽  
Traffic Modeling ◽  
Hurst Index ◽  
Absolute Moment ◽  
Corporate Networks ◽  
Statistical Complexity ◽  
Network Engineering

Fractal dimension is mathematically defined as a ratio of statistical complexity of network traffic; its significant manifestation can affect the network performance. In this work, two models of corporate computer networks have been developed using optimized network engineering tool (OPNET) technology. Raw packet generator (RPG) traffic was imposed on the corporate networks and modeled using H = 0.7 and D = 1.3, under the influence of Pareto distribution. Autocorrelation function and power law were used to confirm the presence of fractal traffic on the networks. Average Hurst index (H) of 50 and 100 workstations were estimated using aggregate of variance, absolute moment, periodogram and R/S methods as 0.627, 0.608 and its corresponding fractal dimensions (D) were obtained as 1.371 and 1.391 respectively. These results obtained mean, there is a manifestation of fractal traffic and delay is minimised on the network.  

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