Providing QoS and Resiliency for Video Streaming Over MPTCP
The performance of Internet applications can be improved by using multipath transport protocols such as Multipath TCP (MPTCP), which leverages aggregated bandwidth from multiple paths for improved throughput. MPTCP can be utilized to apply Quality of Service (QoS) and address network resiliency in o...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11075780/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850100805700419584 |
|---|---|
| author | Shadi Bikas Muge Sayit |
| author_facet | Shadi Bikas Muge Sayit |
| author_sort | Shadi Bikas |
| collection | DOAJ |
| description | The performance of Internet applications can be improved by using multipath transport protocols such as Multipath TCP (MPTCP), which leverages aggregated bandwidth from multiple paths for improved throughput. MPTCP can be utilized to apply Quality of Service (QoS) and address network resiliency in order to increase the Quality of Experience (QoE) of video streaming applications. This paper introduces a novel approach for providing service differentiation to video streaming clients across different classes, while ensuring robust communication to mitigate link failures. The proposed method aims to deliver seamless streaming sessions by enhancing resilience and maintaining QoS under challenging network conditions. We evaluate the proposed approach using Dynamic Adaptive Streaming over HTTP (DASH), a widely used video streaming application that delivers high-quality media content over the Internet. The aim is to evaluate the performance of the proposed approach by focusing on user groups belonging to different service classes, each with varying QoE requirements. Additionally, we assess the resiliency of the proposed algorithm in scenarios involving subflow failures within the MPTCP connection. The results demonstrate that the proposed approach outperforms alternative methods in maintaining network connectivity and sustaining a high level of QoE, even in the event of subflow disconnections. |
| format | Article |
| id | doaj-art-3285ec97cfb04b8abdc04a4792530c4b |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-3285ec97cfb04b8abdc04a4792530c4b2025-08-20T02:40:11ZengIEEEIEEE Access2169-35362025-01-011312215112216310.1109/ACCESS.2025.358644611075780Providing QoS and Resiliency for Video Streaming Over MPTCPShadi Bikas0https://orcid.org/0000-0002-1068-3939Muge Sayit1https://orcid.org/0000-0002-7990-1463Computer Engineering, TOBB ETÜ University, Ankara, TürkiyeComputer Science and Electronic Engineering, University of Essex, Colchester, U.K.The performance of Internet applications can be improved by using multipath transport protocols such as Multipath TCP (MPTCP), which leverages aggregated bandwidth from multiple paths for improved throughput. MPTCP can be utilized to apply Quality of Service (QoS) and address network resiliency in order to increase the Quality of Experience (QoE) of video streaming applications. This paper introduces a novel approach for providing service differentiation to video streaming clients across different classes, while ensuring robust communication to mitigate link failures. The proposed method aims to deliver seamless streaming sessions by enhancing resilience and maintaining QoS under challenging network conditions. We evaluate the proposed approach using Dynamic Adaptive Streaming over HTTP (DASH), a widely used video streaming application that delivers high-quality media content over the Internet. The aim is to evaluate the performance of the proposed approach by focusing on user groups belonging to different service classes, each with varying QoE requirements. Additionally, we assess the resiliency of the proposed algorithm in scenarios involving subflow failures within the MPTCP connection. The results demonstrate that the proposed approach outperforms alternative methods in maintaining network connectivity and sustaining a high level of QoE, even in the event of subflow disconnections.https://ieeexplore.ieee.org/document/11075780/Adaptive streaminggenetic algorithmHASDASHSDNquality of service |
| spellingShingle | Shadi Bikas Muge Sayit Providing QoS and Resiliency for Video Streaming Over MPTCP IEEE Access Adaptive streaming genetic algorithm HAS DASH SDN quality of service |
| title | Providing QoS and Resiliency for Video Streaming Over MPTCP |
| title_full | Providing QoS and Resiliency for Video Streaming Over MPTCP |
| title_fullStr | Providing QoS and Resiliency for Video Streaming Over MPTCP |
| title_full_unstemmed | Providing QoS and Resiliency for Video Streaming Over MPTCP |
| title_short | Providing QoS and Resiliency for Video Streaming Over MPTCP |
| title_sort | providing qos and resiliency for video streaming over mptcp |
| topic | Adaptive streaming genetic algorithm HAS DASH SDN quality of service |
| url | https://ieeexplore.ieee.org/document/11075780/ |
| work_keys_str_mv | AT shadibikas providingqosandresiliencyforvideostreamingovermptcp AT mugesayit providingqosandresiliencyforvideostreamingovermptcp |