scholarly journals Power and performance analysis of network traffic prediction techniques

Author(s):  
Muhammad Faisal Iqbal ◽  
Lizy K. John
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Shilpa P. Khedkar ◽  
R. Aroul Canessane ◽  
Moslem Lari Najafi

An IoT is the communication of sensing devices linked to the Internet in order to communicate data. IoT devices have extremely critical reliability with an efficient and robust network condition. Based on enormous growth in devices and their connectivity, IoT contributes to the bulk of Internet traffic. Prediction of network traffic is very important function of any network. Traffic prediction is important to ensure good system efficiency and ensure service quality of IoT applications, as it relies primarily on congestion management, admission control, allocation of bandwidth to the system, and the identification of anomalies. In this paper, a complete overview of IoT traffic forecasting model using classic time series and artificial neural network is presented. For prediction of IoT traffic, real network traces are used. Prediction models are evaluated using MAE, RMSE, and R -squared values. The experimental results indicate that LSTM- and FNN-based predictive models are highly sensitive and can therefore be used to provide better performance as a timing sequence forecast model than the conventional traffic prediction techniques.


2010 ◽  
Vol 61 (6) ◽  
pp. 341-349 ◽  
Author(s):  
Dimitar Radev ◽  
Izabella Lokshina

Advanced Models and Algorithms for Self-Similar IP Network Traffic Simulation and Performance Analysis The paper examines self-similar (or fractal) properties of real communication network traffic data over a wide range of time scales. These self-similar properties are very different from the properties of traditional models based on Poisson and Markov-modulated Poisson processes. Advanced fractal models of sequentional generators and fixed-length sequence generators, and efficient algorithms that are used to simulate self-similar behavior of IP network traffic data are developed and applied. Numerical examples are provided; and simulation results are obtained and analyzed.


2013 ◽  
Vol 339 ◽  
pp. 401-408
Author(s):  
Jin Wang ◽  
Zeng Kai Wang

Compared with traditional substation, smart substation process layer network, which has the same meaning as relay protection and safety automatic devices, is actually equivalent to the secondary circuit of traditional substation protection. Once an exception occurs in the network traffic of process layer, it will directly affect the reliability, rapidity and agility of relay protection action. According to the characteristics of network traffic of smart substation, this paper proposed a novel dynamic grey Markov model (DGMM) based network traffic prediction approach, which could assist decision making for the network performance analysis and prediction, network failures and viruses invasion warning of smart substation. Experiments demonstrated the effective and efficiency of the proposed approach, which could guarantee the security operation of power grid.


2019 ◽  
Vol 13 (2) ◽  
pp. 122-130
Author(s):  
Dian ayunita Nugraheni nurmala Dewi

Objectives of this study were analyze fish auction participant satisfaction to auction services in TPI Morodemak, analyze attributes effect, services that fit to service quality measurement, and analyzed fish auction participants perception to performance and importance for fish auction house Morodemak services. Used descriptive method and purposive sampling with 49 respondents consists of commercial fishmongers, traditional fishmongers, purse seine owners, and boat lift net owners as fish auction participant. Satisfication measurement used Customer Satisfication Index (CSI), Importance and Performance Analysis (IPA) and gap analysis. Results from this study were value CSI 20% (0.2) indicate the auction participants dissatisfied with the services provided, IPA show there are four attributes should be develop, two elements have not been completed based on measurement requirements of service satisfaction, gap value average -0.05 means the auction participants were not satisfied with the performance of TPI services because the performance value was lower than the importance value.


2018 ◽  
Vol 2 (01) ◽  
pp. 14
Author(s):  
Eddy Supardi

The Tax Payer obidience in fulfiling their taxation obligation will be influenced a lot by the satisfaction level toward the service fiscus. The aim of this observation is to know the response of Tax Payer toward service quality through importance and performance. The population which become the object of this observation is the personal Tax Payer registered in Bogor Tax Service Office and the number of respondents taken as the sample are 100 respondents with Slovin formula. The analysis method used is descriptive analysis and importance-performance analysis.   The result of this observation will be able to be used as one of the input to Bogor Tax Service Office in improving the quality service and for the following observation, especially those who take the same object as the observation in order to improve the quality service to the Tax Payer based on the service of its working way which is felt less. Otherwise it is important for The Tax Payer, maintaining the good work or balancing the service quality based on the working way which is evaluated less important by The Taxe Payer, but has been done reasonably well or very well by The Service Office


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