Descriptive Analysis of Throughput Variations for Bengali Broadband Users

Authors

  • Puneet Garg Department of Computer Science and Engineering, Ganga Institute of Technology and Management, Kablana, Jhajjar, Haryana,

DOI:

https://doi.org/10.37628/jbcc.v1i2.145

Abstract

Broadband Internet user base is growing at an exponential pace in Bangladesh. The Internet service providers (ISPs) are bringing ever faster broadband service offering to market. The service expectations of aspiring users are outpacing the service offerings from ISPs. The market pressures are forcing ISPs to sell their service offerings more aggressively, resulting in a growing discrepancy between consumer expectations and service offerings from ISPs. This discrepancy is often evident in experienced vs. offered Internet connection throughput. We analyze the throughput variations for Internet connections of Bengali broadband users. We use network diagnostic test (NDT) data set provided by measurement lab (M-lab) for the analysis. Our analysis shows significant increase in maximum and average Internet connection throughput values. The uptrend in throughput is experienced by both rural and urban users. We also analyze per-ISP user throughput trends and find that most Bengali ISPs meet the minimum broadband speed requirements set by the regulators. Keywords: big query, broadband, GMT, Internet, ISP, measurement lab, NDT, throughput analysis, TRAI

Author Biography

Puneet Garg, Department of Computer Science and Engineering, Ganga Institute of Technology and Management, Kablana, Jhajjar, Haryana,

Department of Computer Science and Engineering, Ganga Institute of Technology and Management, Kablana, Jhajjar, Haryana,

References

Carlson R. Network Diagnostic Tool. [Online]. Available: http: //e2epi.internet2.edu/ndt/.

Crovella M., Krishnamurthy B. Internet Measurement: Infrastructure, Traffic and Applications. New York, USA: John Wiley & Sons, Inc.; 2006.

Dovrolis C., Gummadi K., Kuzmanovic A., et al. Measurement Lab: Overview and an invitation to the research community, SIGCOMM Comput Commun Rev. 2010; 40(3) 53–6p.

Mathis M., Heffner J., Reddy R. Web100: Extended TCP instrumentation for research, education and diagnosis, SIGCOMM Comput Commun Rev. 2003; 33(3): 69–79p.

Mathis M., Heffner J., Raghunarayan R. TCP Extended Statistics MIB. RFC 4898 (Proposed Standard), Internet Engineering Task Force, May 2007. [Online]. Available: http://www.ietf.org/rfc/rfc4898.txt.

The Web10G project. [Online]. Available: http://www.web10g.org/.

Kreibich C., Weaver N., Nechaev B. Netalyzr: Illuminating the edge network. In: Proceedings of the 10th ACM SIGCOMM Conference on Internet Measurement, ser. IMC ’10. New York, NY, USA: ACM; 2010, 246–59p.

Google cloud platform M-Lab data set. 2014. [Online]. Available: https://cloud.google.com/bigquery/docs/dataset-mlab#schema.

Documentation of variables for the Web100 TCP Kernel Instrumentation Set (KIS) project. 2014. [Online]. Available: http://www.web100.org/download/kernel/tcp-kis.txt

Downloads

Published

2016-01-07

Issue

Section

Articles