Identify, analyze and report networking issues in streaming services
Metadata
- Publisher
- SMPTE — White Plains, NY, USA
- Doc Type
- Conference Paper
- Content Type
- Original Research
- Volume
- 2020, No. 11, pp. 1–13
- Abstract
- End-user streaming services have grown exponentially in the past years. The mechanisms to serve the enormous amounts of content available have seen a lot of improvements in reliability, flexibility, and overall quality. However, a plaguing problem is related to the last part of the delivery infrastructure: home networks. These networks are managed in a myriad of ways. Poor configuration and misuse reflect directly in the quality of the video streaming experience. Detecting home network issues and appropriately reporting them is key in providing the right solution when end-users report problems with the streaming services. — We propose a microservices led system that includes a client-side service that collects data and key performance indicators about the home network. The cloud-enabled microservices collect, store, analyze and correlate such data for enabling preemptive or on-demand actions. We propose that the client-side library is available on a variety of platforms for wider acceptance. The cloud-side of the system is proposed to store the telemetry data securely. The analytics systems perform real-time analysis and correlation between various events to create predictions to identify specific issues, or on a per-user basis, or based on a specific network configuration type. — As an outcome of the analytics and predictions, various dashboards and alarms are generated to allow visual representation of the system or tenant or user status and also enable setting up alarms and notifications that can be integrated with other systems that can address them and take actions.
- Publication Date
- 2020-11-10
- DOI
10.5594/M001919- Link
- https://doi.org/10.5594/M001919
- Author(s)
- Angshuman PatraNess Digital EngineeringAshwyn TirkeyNess Digital EngineeringPranav SinghNess Digital EngineeringSujay KumarNess Digital EngineeringHoria Mihai-PopaNess Digital EngineeringAndrei GherghelNess Digital Engineering
- Keyword(s)
- Streaming, Home Network Issues, Microservices, Multi-tenancy, Cloud
- Copyright
- © 2020 Society of Motion Picture and Television Engineers, Inc.
Bibliographic Reference(s)
- https://www.ikream.com/iphone-6s-keeps-losing-signal-getting-poor-reception-random-signal-drops-network-problems-26256 EXTERNAL
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- Torres Vega, M., Mocanu, D.C. & Liotta, A. Unsupervised deep learning for real-time assessment of video streaming services. Multimed Tools Appl 76, 22303–22327 (2017). EXTERNAL
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- K. Piamrat, C. Viho, J. Bonnin and A. Ksentini, "Quality of Experience Measurements for Video Streaming over Wireless Networks," 2009 Sixth International Conference on Information Technology: New Generations, Las Vegas, NV, 2009, pp. 1184-1189, doi: 10.1109/ITNG.2009.121. EXTERNAL
- BRONZINO, F., et.al, " Inferring Streaming Video Quality from Encrypted Traffic: Practical Models and Deployment Experience, ACM Meas. Anal. Comput. Syst. 3, https://doi.org/10.1145/3366704 , 2019 EXTERNAL
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- Bampis, Li, Katsavounidis, Huang, Ekanadham and Bovik, “Towards Perceptually Optimized End-to-end Adaptive Video Streaming”, eess.IV, 1808.03898, 2018. EXTERNAL
- www.wowza.com, Anon., 2019 Video Streaming Latency Report, 2019 EXTERNAL
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Angshuman Patra, Ashwyn Tirkey, Pranav Singh, Sujay Kumar, Horia Mihai-Popa, and Andrei Gherghel; Identify, analyze and report networking issues in streaming services, SMPTE Meetings and Conferences ( November 2020); SMPTE, 2020. Available at https://doi.org/10.5594/M001919
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Angshuman Patra, Ashwyn Tirkey, Pranav Singh, Sujay Kumar, Horia Mihai-Popa, and Andrei Gherghel; Identify, analyze and report networking issues in streaming services, SMPTE Meetings and Conferences ( November 2020); SMPTE, 2020. Available at https://doi.org/10.5594/M001919
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Angshuman Patra, Ashwyn Tirkey, Pranav Singh, Sujay Kumar, Horia Mihai-Popa, and Andrei Gherghel; Identify, analyze and report networking issues in streaming services, SMPTE Meetings and Conferences ( November 2020); SMPTE, 2020. Available at https://doi.org/10.5594/M001919
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<span class="citation">Angshuman Patra, Ashwyn Tirkey, Pranav Singh, Sujay Kumar, Horia Mihai-Popa, and Andrei Gherghel; <cite>Identify, analyze and report networking issues in streaming services</cite>, SMPTE Meetings and Conferences ( November 2020); SMPTE, 2020. Available at <a href="https://doi.org/10.5594/M001919" target="_blank" rel="noopener">https://doi.org/10.5594/M001919</a></span>
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Angshuman Patra, Ashwyn Tirkey, Pranav Singh, Sujay Kumar, Horia Mihai-Popa, and Andrei Gherghel; Identify, analyze and report networking issues in streaming services, SMPTE Meetings and Conferences ( November 2020); SMPTE, 2020
doi: 10.5594/M001919
url: https://doi.org/10.5594/M001919
doi: 10.5594/M001919
url: https://doi.org/10.5594/M001919
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<li> Angshuman Patra, Ashwyn Tirkey, Pranav Singh, Sujay Kumar, Horia Mihai-Popa, and Andrei Gherghel; <cite id="bib-10-5594-m001919">Identify, analyze and report networking issues in streaming services</cite>, SMPTE Meetings and Conferences ( November 2020); SMPTE, 2020 <span class="doi">10.5594/M001919</span> </li>