Performance Analysis on Multiple Device Connections of Small Office Home Office Network

Main Article Content

Muhamad Nur Ashaari
Murizah Kassim
Ruhani Ab. Rahman
Abd Razak Mahmud

Abstract

Malaysia has been supported by one of the high-speed fiber internet connections called TM UniFi. TM UniFi is very familiar to be used as a medium to apply Small Office Home Office (SOHO) concept due to the COVID-19 pandemic. Most of the communication vendors offer varieties of network services to fulfill customers' needs and satisfaction during the pandemic. Quality of Services is queried by most users by the fact of increased on users from time to time. Therefore, it is crucial to know the network performance contrary to the number of devices connected to the TM UniFi network. The main objective of this research is to analyze TM UniFi performance with the impact of multiple device connections or users' services. The study was conducted to analyze the QoS on its traffic, packets transfer, RTT, latency, and throughput. Wireshark simulation program has been used as a network traffic capture where PCAP files have been analyzed by using PCAP Analyzer for Splunk. Traffic filtering has been enabled to capture selected traffic to measure network performance. The result shows that better network performance can be achieved if a smaller number of devices are connected at the same time.  The percentage of packet loss, RTT, latency is increased when more users connected at the same time. The throughput also shows a decrease for multi-device connections. Based on the analysis it can be concluded that TM UniFi still can provide good network services for the SOHO network environment and sufficient bandwidth despite the rapid user growth in Malaysia.

Downloads

Download data is not yet available.

Article Details

How to Cite
1.
Ashaari MN, Kassim M, Rahman RA, Mahmud AR. Performance Analysis on Multiple Device Connections of Small Office Home Office Network. Baghdad Sci.J [Internet]. 2021Dec.20 [cited 2022Jan.20];18(4(Suppl.):1457. Available from: https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/6673
Section
article

References

Sang J. Hands‐on laboratory experiments with SOHO networking technologies. Comput. Appl. Eng. Educ. 2013;21(4):586-95.

Syafei WA, Soetrisno YAA, Prasetijo AB, editors. Simple Smart Algorithm for Flexibility of Dynamic Allocation in DHCP Server for SOHO Wireless Router. 2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM); 2020 17-18 Nov. 2020.

Yu JT, Liu C, editors. Applications and performance analysis of bridging with Layer-3 forwarding on wireless LANs. Advanced Int'l Conference on Telecommunications and Int'l Conference on Internet and Web Applications and Services (AICT-ICIW'06); 2006: IEEE.

Kariuki RK. Small Office Home Office WLAN Security Framework. University of Nairobi Research: University of Nairobi; 2012.p 92.

Abella CS, Bonina S, Cucuccio A, D’Angelo S, Giustolisi G, Grasso AD, et al. Autonomous energy-efficient wireless sensor network platform for home/office automation. IEEE Sens. J. 2019;19(9):3501-12.

Sidik N, Abdullah NF, Yusof AL, editors. The development of IPTV implementation by TM UNifi. 2012 International Symposium on Computer Applications and Industrial Electronics (ISCAIE); 2012: IEEE.

Ghafar AA, Kassim M, Ya’acob N, Mohamad R, Rahman RA. Qos of wi-fi performance based on signal strength and channel for indoor campus network. BEEI. 2020;9(5):2097-108.

Idris MFBM, Yusof MI, Azmat FH, Zain ZM, Rahman RA, Murizah K, editors. Broadband Internet performance (QoS measurement) view from home access gateway in Malaysia. Proceedings - 2014 5th IEEE Control and System Graduate Research Colloquium, ICSGRC 2014; 2014.

Ali NNK, Soon BY, Goh LS, Razi NAA. Symptoms versus problems (SVP) in household high speed broadband (HSBB): regaining momentum for Unifi, Malaysia. Probl. Perspect. Manag. 2015(13, Iss. 2 (spec. iss.)):330-46.

Kassim M, Ramle SF, Rahman RA, Yusof MI, editors. Skype multimedia application traffic analysis on home Unifi network. ISCAIE 2017 - 2017 IEEE Symposium on Computer Applications and Industrial Electronics; 2017.

Carasso D. Exploring splunk: CITO Research New York, USA; 2012.

Zhang P. Improving end-to-end quality of service in low-power wireless sensor networks: Universität Oldenburg; 2020.

Bruzzese R. An Analysis of Application Logs with Splunk: developing an App for the synthetic analysis of data and security incidents. arXiv preprint arXiv:191211283. 2019.

But J, Keller U, Kennedy D, Armitage G, editors. Passive TCP stream estimation of RTT and jitter parameters. The IEEE Conference on Local Computer Networks 30th Anniversary (LCN'05) l; 2005: IEEE.

Randhawa TK. Network Impact Modeling and Analysis: A QoS Perspective. 2020.

Most read articles by the same author(s)