Cover
Vol. 18 No. 2 (2022)

Published: December 31, 2022

Pages: 33-42

Review Article

Network Monitoring Measurements for Quality of Service: A Review

Abstract

One crucial challenge confronting operators worldwide is how to ensure that everything runs smoothly as well as how to monitor the network. The monitoring system should be accurate, easy to use, and quick enough to reflect network performance in a timely way. Passive network monitoring is an excellent tool for this. It could be used to look for issues with a single network device or a large-scale issue affecting the whole LAN or core network. However, passive network monitoring is not limited to issue resolution; it could also be used to generate network statistics and measure network performance. As shown in this review, it is a very strong tool, as seen by the sheer volume of data published on Google Scholar. The main objective of this review is to analyze and comprehend monitoring measurements for quality of service to serve as a resource for future research and application. Essential terms and concepts of network monitoring and their quality of service are presented. Network monitoring measurements (which can be passive, active, or hybrid) and their wireless network monitoring tools (which can be public domain or commercial tools) are also covered in terms of relevance, advantages, and disadvantages. Finally, the review is summarized.

References

  1. He, Yiran, and Xinchang Zhang. "A Survey on Network Measurement for Software-Defined Networks." 2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE). IEEE, p. 1534-1540, 2019.
  2. Charles, AS Joseph, and P. Kalavathi. "QoS measurement of RPL using Cooja simulator and Wireshark network analyser." International Journal of Computer Sciences and Engineering, pp. 283-291, 2018.
  3. EGILMEZ, Hilmi E., et al. OpenQoS: An OpenFlow controller design for multimedia delivery with end-to- end Quality of Service over Software-Defined Networks. In: Proceedings of the 2012 Asia Pacific signal and information processing association annual summit and conference. IEEE, p. 1-8, 2012.
  4. I.GHAFIR, J.SVOBODA, and V. PRENOSIL, “Network Monitoring Approaches An Overview,” no. August, pp. 118–123, 2015.
  5. Y. Guo, T. Lin, K. Liang, and G. Chen, “Network Quality Monitoring for Typical Power Services,” in 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), pp. 1437–1441, 2019
  6. I. O. Yuskov and E. P. Stroganova, “Application of neural network model design for monitoring wireless communication networks,” in 2020 Systems of Signals Generating and Processing in the Field of on Board Communications, pp. 1–4 , 2020.
  7. L. N. Devi, G. K. Reddy, and A. N. Rao, “Live Demonstration on Smart Water Quality Monitoring System Using Wireless Sensor Networks,” in 2018 IEEE SENSORS, pp. 1–4, 2018.
  8. H. AL-Behadili, “NTT: Network Topology Tool for Enhancing NS-2,” Iraqi J. Electr. Electron. Eng., vol. 11, no. 1, pp. 101–104, 2015.
  9. A. M. M. Habbal, S. Hassan, A. M. Jabbar, "JDNA: JAVABASED NS-2 ANALYZER". Wulfenia J, vol. 19, no. 9, pp. 454–462, 2012.
  10. K. M. Kim et al., “Performance evaluation of maritime VDES networks with OPNET simulator,” in 2018 11th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP), pp. 1–6 , 2018.
  11. J. Ramprasath and V. Seethalakshmi, “Improved Network Monitoring Using Software-Defined Networking for DDoS Detection and Mitigation Alkenani & Nassar | 41 Evaluation,” Wirel. Pers. Commun., vol. 116, no. 3, pp. 2743–2757, 2021.
  12. R. Singh and S. Kumar, “A comparative study of various wireless network monitoring tools,” in 2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC), pp. 379– 384, 2018.
  13. V. Mohan, Y. R. J. Reddy, and K. Kalpana, “Active and Passive Network Measurements : A Survey,” Comput. Sci. Inf. Technol., vol. 2, no. 4, pp. 1372–1385, 2011.
  14. Y. Sumiya and S. Maeda, “Rate constant matrix contraction method for systematic analysis of reaction path networks,” Chem. Lett., vol. 49, no. 5, pp. 553–564, 2020.
  15. Mirtchev, Seferin T. "Packet-level link capacity evaluation for IP networks." Cybernetics and Information Technologies, pp. 30-40, 2018.
  16. S. Anand and M. V Ramesh, “Performance Analysis of Delay Tolerant Network Routing Protocols in a Heterogeneous Vehicular Network,” in 2018 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), pp. 1–6, 2018.
  17. T. J. Wong and N. Das, “Modelling and analysis of IEC 61850 for end-to-end delay characteristics with various packet sizes in modern power substation systems,” in 5th Brunei International Conference on Engineering and Technology (BICET 2014), pp. 1–6, 2014.
  18. Qu, Ting, et al. "SQR: In-network packet loss recovery from link failures for highly reliable datacenter networks." 2019 IEEE 27th International Conference on Network Protocols (ICNP), pp. 1–12, 2019.
  19. Moudi, Mehrnaz, and Mohamed Othman. "On the relation between network throughput and delay curves." Automatika: časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije, pp. 415-424, 2020.
  20. Ha, Phuong, and Lisong Xu. "Available bandwidth estimation in public clouds." IEEE INFOCOM 2018- IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 238-243, 2018.
  21. A. Hosseini, M. Dolati, and M. Ghaderi, “Bulk transfer scheduling with deadline in best-effort sd- wans,” in 2021 IFIP/IEEE International Symposium on Integrated Network Management (IM), pp. 313–321, 2021.
  22. B. Zhang et al., “Goodput-aware traffic splitting scheme with non-ideal backhaul for 5G-LTE multi- connectivity,” in 2019 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1–6, 2019.
  23. H. Z. Jahromi, D. T. Delaney, and A. Hines, “Quantifying the Influence of Browser, OS and Network Delay on Time Instant Metric Measurements for a Web Mapping Application,” in 2019 IEEE 19th International Conference on Communication Technology (ICCT), pp. 1580–1584, 2019.
  24. S. A. Rizzo, G. Susinni, and F. Iannuzzo, “Intrusiveness of power device condition monitoring methods: Introducing figures of merit for condition monitoring,” IEEE Ind. Electron. Mag., vol. 7, 2021.
  25. M. Sivaram, V. Porkodi, A. S. Mohammed, V. Manikandan, and N. Yuvaraj, “Retransmission DBTMA protocol with fast retransmission strategy to improve the performance of MANETs,” IEEE Access, vol. 7, pp. 85098–85109, 2019.
  26. E. Max-Onakpoya et al., “Augmenting cloud connectivity with opportunistic networks for rural remote patient monitoring,” in 2020 International Conference on Computing, Networking and Communications (ICNC), pp. 920–926, 2020.
  27. M. J. Rahimi, S. Parveen, M. Morshed, M. R. Khan, and P. Sarker, “Development of the smart QoS monitors to enhance the performance of the NS2 Network Simulator,” in 2010 13th International Conference on Computer and Information Technology (ICCIT), pp. 137–141, 2010.
  28. Osman, Radwa Ahmed, et al. "Quality of service optimisation of device‐to‐device communications underlaying cellular networks." IET Communications, pp. 179-190, 2021.
  29. S. Giordano, S. Salsano, S. Van den Berghe, G. Ventre, and D. Giannakopoulos, “Advanced QoS provisioning in IP networks: The European premium IP projects,” IEEE Commun. Mag., vol. 41, no. 1, pp. 30– 36, 2003.
  30. N. Kniazieva, S. Kotlyk, and A. Kalchenko, “Method of Assessment and Improvement the Quality of Multimedia Services,” in 2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T), pp. 426–430, 2019.
  31. Moravejosharieh, Amirhossein, Kourosh Ahmadi, and Saghir Ahmad. "A fuzzy logic approach to increase quality of service in software defined networking." 2018 International Conference on Advances in Computing, Communication Control and Networking (ICACCCN) IEEE, pp. 68-73, 2018.
  32. Hu, ZhiGuo, et al. "Evaluating QoE in VoIP networks with QoS mapping and machine learning algorithms." Neurocomputing 386., pp. 63-83, 2020.
  33. B. A. Setiono, “The Effect of Marketing Mix, Quality of Service and Orientation of Entrepreneurship to Competitive Advantages The People’s Market in Surabaya City,” J. Indones. Sci. Econ. Res., vol. 1, no. 1, pp. 22–25, 2019.
  34. N. Gorla, T. M. Somers, and B. Wong, “Organizational impact of system quality, information quality, and service quality,” J. Strateg. Inf. Syst., vol. 19, no. 3, pp. 207–228, 2010.
  35. Kaafar, Mohamed Ali, Steve Uhlig, and Johanna Amann, ”Passive and Active Measurement”, Springer International Publishing, pp. 30–31, 2017.
  36. B. Widera, P. Dost, V. Kipke, and C. Sourkounis, “On optimal cell monitoring in a sensor minimal battery management system with integrated direct active balancing,” in 2019 IEEE Industry Applications Society Annual Meeting, pp. 1–8 , 2019.
  37. D. Perdices, D. Muelas, L. de Pedro, and J. E. L. de Vergara, “Network performance monitoring with Alkenani & Nassar flexible models of multi-point passive measurements,” in 2018 14th International Conference on Network and Service Management (CNSM), pp. 1–9, 2018.
  38. D. Perdices, D. Muelas, I. Prieto, L. de Pedro, and J. E. L. de Vergara, “On the modeling of multi-point RTT passive measurements for network delay monitoring,” IEEE Trans. Netw. Serv. Manag., vol. 16, no. 3, pp. 1157–1169, 2019.
  39. D. H. Hagos, P. E. Engelstad, A. Yazidi, and Ø. Kure, “General TCP state inference model from passive measurements using machine learning techniques,” IEEE Access, vol. 6, pp. 28372–28387, 2018.
  40. P. Manzanares-Lopez, J. P. Muñoz-Gea, and J. Malgosa-Sanahuja, “Passive in-band network telemetry systems: The potential of programmable data plane on network-wide telemetry,” IEEE Access, vol. 9, pp. 20391–20409, 2021.
  41. Kumar, Rajeev. "Passive Bandwidth Estimation Techniques for QoS Routing in Wireless LANs." Soft Computing for Problem Solving. Springer, Singapore, p. 443-452, 2020.
  42. F. P. Garcia, R. Andrade, C. T. Oliveira, and J. N. De Souza, “EPMOSt: An energy-efficient passive monitoring system for wireless sensor networks,” Sensors, vol. 14, no. 6, pp. 10804–10828, 2014.
  43. R. Zheng, T. Le, and Z. Han, “Approximate online learning for passive monitoring of multi-channel wireless networks,” in 2013 Proceedings IEEE INFOCOM, pp. 3111–3119, 2013.
  44. E. Browning, R. Gibb, P. Glover-Kapfer, and K. E. Jones, “Passive acoustic monitoring in ecology and conservation.,” 2017.
  45. J. T. Wen and Y. Geng, “Environment monitoring system of household security robot based on wireless mesh network,” in 2009 International Conference on Networks Security, Wireless Communications and Trusted Computing, vol. 2, pp. 176–180, 2009.
  46. M. Hu and Y. Wang, “Design of Wearable Wireless Body Area Network Monitoring System,” in 2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE), pp. 585– 588, 2020.
  47. C. C. Ho, K. N. Ramachandran, K. C. Almeroth, and E. M. Belding-Royer, “A scalable framework for wireless network monitoring,” in Proceedings of the 2nd ACM international workshop on Wireless mobile applications and services on WLAN hotspots, pp. 93– 101, 2004.
  48. S. Rahane, S. Ulekar, R. Vatti, T. Meshram, and S. Male, “Comparison of wireless network performance analysis tools,” in 2018 International Conference on Current Trends towards Converging Technologies (ICCTCT), 2018, pp. 1–4.
  49. A. D. Ferguson et al., “Orion: Google’s {Software- Defined} Networking Control Plane,” in 18th USENIX Symposium on Networked Systems Design and Implementation (NSDI 21), pp. 83–98 2021.
  50. R. Arunadevi, “Experimentation Of Denial Of Service Attack In Wireless Local Area Infrastructure Network Using Loic Tool,” J. Eng. Res. Appl., pp. 51–55, 2018.