Demo of QoEyes: Towards Virtual Reality Streaming QoE Estimation Entirely in the Data Plane Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.1109/netsoft57336.2023.10175493
Recent advances in virtual reality (VR) technology have created new user experiences (e.g., online events, gaming). However, ensuring the user experience is still a challenge. Mostly because Quality of Experience (QoE) measurement is limited to the user or control plane, causing high latencies for different scenarios (e.g., 5G networks and beyond). To address this challenge, we present QoEyes, an in-network QoE estimation technique based on Inter-Packet-Gap (IPG) measured in programmable devices. Our results show that a strong estimate of the user’s QoE can be provided by measuring the IPG on the data plane. Additionally, in this demonstration, we show this QoE estimate and other related metrics in real time, using a Grafana dashboard running in our monitoring server.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/netsoft57336.2023.10175493
- OA Status
- green
- References
- 15
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4384157960
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4384157960Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/netsoft57336.2023.10175493Digital Object Identifier
- Title
-
Demo of QoEyes: Towards Virtual Reality Streaming QoE Estimation Entirely in the Data PlaneWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-06-19Full publication date if available
- Authors
-
Francisco Germano Vogt, Fabricio Rodríguez Cesen, Ariel Góes De Castro, Marcelo Caggiani Luizelli, Christian Esteve Rothenberg, Gergely PongráczList of authors in order
- Landing page
-
https://doi.org/10.1109/netsoft57336.2023.10175493Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1109/NetSoft57336.2023.10175493Direct OA link when available
- Concepts
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Quality of experience, Computer science, Virtual reality, Network packet, Forwarding plane, Server, Dashboard, User experience design, Video streaming, Real-time computing, Human–computer interaction, Computer network, Quality of service, DatabaseTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
15Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.by | 77 |
| abstract_inverted_index.in | 2, 62, 85, 96, 103 |
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| abstract_inverted_index.of | 25, 71 |
| abstract_inverted_index.on | 58, 81 |
| abstract_inverted_index.or | 33 |
| abstract_inverted_index.we | 88 |
| abstract_inverted_index.IPG | 80 |
| abstract_inverted_index.Our | 64 |
| abstract_inverted_index.QoE | 55, 91 |
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| abstract_inverted_index.can | 74 |
| abstract_inverted_index.for | 39 |
| abstract_inverted_index.new | 8 |
| abstract_inverted_index.our | 104 |
| abstract_inverted_index.the | 16, 72, 79, 82 |
| abstract_inverted_index.(VR) | 5 |
| abstract_inverted_index.data | 83 |
| abstract_inverted_index.high | 37 |
| abstract_inverted_index.real | 97 |
| abstract_inverted_index.show | 66, 89 |
| abstract_inverted_index.that | 67 |
| abstract_inverted_index.this | 49, 86, 90 |
| abstract_inverted_index.user | 9, 17, 32 |
| abstract_inverted_index.(IPG) | 60 |
| abstract_inverted_index.(QoE) | 27 |
| abstract_inverted_index.other | 93 |
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| abstract_inverted_index.(e.g., | 11, 42 |
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| abstract_inverted_index.Grafana | 101 |
| abstract_inverted_index.QoEyes, | 52 |
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| abstract_inverted_index.causing | 36 |
| abstract_inverted_index.control | 34 |
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| abstract_inverted_index.events, | 13 |
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| abstract_inverted_index.metrics | 95 |
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| abstract_inverted_index.related | 94 |
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| abstract_inverted_index.virtual | 3 |
| abstract_inverted_index.advances | 1 |
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| abstract_inverted_index.ensuring | 15 |
| abstract_inverted_index.estimate | 70 |
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| abstract_inverted_index.provided | 76 |
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| abstract_inverted_index.scenarios | 41 |
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| abstract_inverted_index.experience | 18 |
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| abstract_inverted_index.estimate and | 92 |
| abstract_inverted_index.server.</p> | 106 |
| abstract_inverted_index.challenge, we | 50 |
| abstract_inverted_index.Mostly because | 23 |
| abstract_inverted_index.technique based | 57 |
| abstract_inverted_index.technology have | 6 |
| abstract_inverted_index.user’s QoE | 73 |
| abstract_inverted_index.dashboard running | 102 |
| abstract_inverted_index.gaming). However, | 14 |
| abstract_inverted_index.plane. Additionally, | 84 |
| abstract_inverted_index.programmable devices. | 63 |
| cited_by_percentile_year | |
| countries_distinct_count | 2 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile.value | 0.0855033 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |