DOI: https://doi.org/10.15587/1729-4061.2015.36277

Evaluation method of information models of observed processes in computer network

Алексей Игоревич Гриценко

Abstract


The problems of remote data collection about the state of various network components always appear during computer network administration. This leads to increased levels of official traffic in communication channels, which may adversely affect the user data transmission quality. One of the ways to solve the problem is an approximation of the processes, observed when computer network monitoring. This method reduces the number of measurement points by replacing the measured values by the approximated ones. For effective approximation, it is important to develop adequate approximation models of the observed processes.

A formalized approach to the evaluation of previously proposed information models of the observed processes in a computer network was developed in the paper. These models describe the behavior of the observed processes in the form of a preselected set of numerical and mathematical characteristics. Using the considered information models allows to form a sufficiently detailed picture of the behavior of the observed processes to select an adequate approximating model. For evaluating models, a method, representing a sequence of steps for the analysis of the observed processes to calculate the parameters of the models was developed. The advantage of the method lies in its adequacy, flexibility, ease of implementation and low computational cost. As a practical example of using the developed method, evaluation of models for the two observed processes in the computer network: the process "established TCP connections" and the process "disk data recording/reading flow rate" was performed. The results show the feasibility of the proposed method.

As a result of the research, it was found that the stages of evaluating the information models can be coordinated with the general network monitoring organization scheme. Weaknesses of the existing rules for estimating the parameters of the models were identified and improved rules were proposed. In particular, the accuracy of estimating the linearity, dynamics and lifetime of the observed processes was improved.

The obtained results allow to approach solving the problem of selecting an effective approximating model for the observed processes in the computer network.


Keywords


approximation; computer network monitoring; controlled process; Windows Management Instrumentation (WMI)

References


Hoeksema, F. W., Van der Veen, J. T., Van Beijnum, B. J. (1997). A methodical approach to performance measurement experiments: measure and measurement specification. University of Twente, Centre for Telematics and Information Technology (CTIT), 113.

Sidibé, M., Mehaoua, A. (2008). QoS monitoring for end-to-end heterogeneous networks configurations management. IEEE international conference on automation, quality and testing, robotics AQTR, 1, 364–368. doi: 10.1109/aqtr.2008.4588769

Lahmadi, A., Boeglin, A., Festor, O. (2013). Efficient distributed monitoring in 6LoWPAN networks. In proceedings of the 9th international conference on network and service management, 1, 268–276.

Yu, C., Lumezanu, C., Zhang, Y., Singh, V., Jiang, G., Madhyasth H. V. (2013). FlowSense: Monitoring Network Utilization with Zero Measurement Cost. In proceedings of the 14th international conference on Passive and Active Measurement, 34–41.

Ballard, J. R., Rae, I., Akella A. (2010). Extensible and Scalable Network Monitoring Using OpenSAFE. In proceedings of the 2010 internet network management conference on Research on enterprise networking, 1–6.

Narayanan, H. T. S., Geetha, I., Sumitra N. (2013). Feasibility of SNMP OID compression. Journal of King Saud University – Computer and Information Sciences, 25 (1), 35–42. doi: 10.1016/j.jksuci.2012.05.006

Sayenko, V. I., Grytsenko, O. I. (2007). A sampling method for the processes of continuous monitoring. Radioelectronics and Informatics, 4, 119–122.

Hernandez, E., Chidester, M., George, A. (2001). Adaptive Sampling for Network Management. Journal of Network and Systems Management, 9 (4), 409–434.

Andrey, L., Festor, O., Lahmadi, A., Pras, A., Schönwälder, J. (2009). Survey of SNMP performance analysis studies. International journal of network management, 19 (6), 527–548. doi: 10.1002/nem.729

Pras, A., Drevers, T., Van de Meent, R., Quartel, D. (2004). Comparing the Performance of SNMP and Web Services-Based Management. IEEE: Transactions on network and service management, 1 (2), 72–82. doi: 10.1109/tnsm.2004.4798292

Ayvazyan, S. A., Mkhitaryan, V. S. (1998). Prikladnaya statistika i osnovy ekonometriki, 1005.

Strizhov, V. V, Krymova, E. A. (2010). Metody vybora regressionnykh modeley. Moscow: Vychislitel'nyy tsentr RAN, 60.

Karabutov, N. N. (2008). Vybor struktury modeli pri obrabotke rezul'tatov izmereniy v sistemakh upravleniya. Izmeritel'naya tekhnika, 9, 29–33.

Sayenko, V., Grytsenko, O. (2014). Information models of controlled processes for the computer network monitoring. Vestnik natsional'nogo tekhnicheskogo universiteta «KHPI». Seriya: «Novyye resheniya v sovremennykh tekhnologiyakh», 48, 55–66.

Lavy, M., Meggitt, A. (2001). Windows Management Instrumentation (WMI). New Riders Publishing, 432.

(2010). DMTF Std. DSP0004, Specification Version 2.6.0. Common Information Model (CIM) Infrastructure, 186.


GOST Style Citations


1. Hoeksema, F. W. A methodical approach to performance measurement experiments: measure and measurement specification [Text] / F. W. Hoeksema, J. T. van der Veen, B. J. van Beijnum. – University of Twente, Centre for Telematics and Information Technology (CTIT), 1997. – 113 p.

2. Sidibé, M. QoS monitoring for end-to-end heterogeneous networks configurations management [Text] / M. Sidibé, A. Mehaoua // IEEE International Conference on Automation, Quality and Testing, Robotics AQTR. – 2008. – Vol. 1. – P. 364–368. doi: 10.1109/aqtr.2008.4588769 

3. Lahmadi, A. Efficient distributed monitoring in 6LoWPAN networks [Text] / A. Lahmadi, A. Boeglin, O. Festor // In proceedings of the 9th international conference on network and service management, 2013. – P. 268–276.

4. Yu, C. FlowSense: Monitoring Network Utilization with Zero Measurement Cost [Text] / C. Yu, C. Lumezanu, Y. Zhang, V. Singh, G. Jiang, H. V. Madhyasth // In proceedings of the 14th international conference on Passive and Active Measurement, 2012. – P. 31–41.

5. Ballard, J. R. Extensible and Scalable Network Monitoring Using OpenSAFE [Text] / J. R. Ballard, I. Rae, A. Akella // In proceedings of the 2010 internet network management conference on Research on enterprise networking, 2010. – P. 1–6.

6. Narayanan, H. T. S. Feasibility of SNMP OID compression [Text] / H. T. S. Narayanan, I. Geetha, N. Sumitra // Journal of King Saud University – Computer and Information Sciences. – 2013. – Vol. 25, Issue 1. – P. 35–42. doi: 10.1016/j.jksuci.2012.05.006 

7. Саенко, В. И. Метод выбора моментов измерений для процессов непрерывного мониторинга [Текст] / В. И. Саенко, А. И. Гриценко // Радиоэлектроника и информатика. – 2007. – № 4. – C. 119–122.

8. Hernandez, E. Adaptive Sampling for Network Management [Text] / E. Hernandez, M. Chidester, A. George // Journal of Network and Systems Management. – 2001. – Vol. 9, Issue 4. – P. 409–434.

9. Andrey, L. Survey of SNMP performance analysis studies [Text] / L. Andrey, O. Festor, A. Lahmadi, A. Pras, J. Schönwälder // International journal of network management. – 2009. – Vol. 19, Issue 6. – P. 527–548. doi: 10.1002/nem.729 

10. Pras, A. Comparing the Performance of SNMP and Web Services-Based Management [Text] / A. Pras, T. Drevers, R. van de Meent, D. Quartel // IEEE: Transactions on network and service management. – 2004. – Vol. 1, Issue 2. – P. 72–82. doi: 10.1109/tnsm.2004.4798292 

11. Айвазян, С. А. Прикладная статистика и основы эконометрики [Текст] / С. А. Айвазян, В. С. Мхитарян. – Юнити. – 1998. – 1005 с.

12. Стрижов, В. В. Методы выбора регрессионных моделей [Текст] / В. В. Стрижов, Е. А. Крымова. – Вычислительный центр РАН, 2010. – 60 с.

13. Карабутов, Н. Н. Выбор структуры модели при обработке результатов измерений в системах управления [Текст] / Н. Н. Карабутов // Измерительная техника. – 2008. – № 9. – С. 29–33.

14. Саенко, В. И. Информационные модели наблюдаемых процессов для мониторинга компьютерных сетей [Текст] / В. И. Саенко, А. И. Гриценко // Вестник национального технического университета «ХПИ». Серия: «Новые решения в современных технологиях». – 2014. – № 48. – С. 55–66.

15. Lavy, M. Windows Management Instrumentation (WMI) [Text] / M. Lavy, A. Meggitt. – New Riders Publishing, 2001. – 432 p.

16. DMTF Std. DSP0004, Specification Version 2.6.0. Common Information Model (CIM) Infrastructure [Text] / March 2010. – 186 p.



 

Cited-by:

1. A method of network monitoring with reduced measured data
Oleksii Grytsenko, Volodymir Sayenko
2017 4th International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T)  First page: 477  Year: 2017  
doi: 10.1109/INFOCOMMST.2017.8246442





Copyright (c) 2015 Алексей Игоревич Гриценко

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ISSN (print) 1729-3774, ISSN (on-line) 1729-4061