Projects per year
Abstract
Dynamic Adaptive Streaming over HTTP (DASH) is becoming the de facto method for effective video traffic delivery at large scale. Its primer success factor returns to the full autonomy given to the streaming clients making them smarter and
enabling decentralized logic of video quality decision at granular video chunks following a pull-based paradigm. However, the pure autonomy of the clients inherently results in an overall selfish environment where each client independently strives to improve its Quality of Experience (QoE). Consequently, the clients will hurt each other, including themselves, due to their limited scope
of perception. This shortcoming could be addressed by employing a mechanism that has a global view, hence could efficiently manage the available resources. In this paper, we propose a game theoretical-based approach to address the issue of the client’s selfishness in multi-server setup, without affecting its autonomy.
Particularly, we employ the coalitional game framework to affect the clients to the best server, ultimately to maximize the overall average quality of the clients while preventing re-buffering. We validate our solution through extensive experiments and showcase the effectiveness of the proposed solution.
enabling decentralized logic of video quality decision at granular video chunks following a pull-based paradigm. However, the pure autonomy of the clients inherently results in an overall selfish environment where each client independently strives to improve its Quality of Experience (QoE). Consequently, the clients will hurt each other, including themselves, due to their limited scope
of perception. This shortcoming could be addressed by employing a mechanism that has a global view, hence could efficiently manage the available resources. In this paper, we propose a game theoretical-based approach to address the issue of the client’s selfishness in multi-server setup, without affecting its autonomy.
Particularly, we employ the coalitional game framework to affect the clients to the best server, ultimately to maximize the overall average quality of the clients while preventing re-buffering. We validate our solution through extensive experiments and showcase the effectiveness of the proposed solution.
Original language | English |
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Title of host publication | 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings |
Publisher | IEEE |
Number of pages | 6 |
ISBN (Electronic) | 978-1-7281-8298-8 |
DOIs | |
Publication status | Published - Dec 2020 |
MoE publication type | A4 Article in a conference publication |
Event | IEEE Global Communications Conference - Taipei, Taiwan, Republic of China Duration: 7 Dec 2020 → 11 Dec 2020 |
Publication series
Name | IEEE Global Communications Conference |
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ISSN (Print) | 2334-0983 |
ISSN (Electronic) | 2576-6813 |
Conference
Conference | IEEE Global Communications Conference |
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Abbreviated title | GLOBECOM |
Country/Territory | Taiwan, Republic of China |
City | Taipei |
Period | 07/12/2020 → 11/12/2020 |
Keywords
- DASH
- QoE
- coalitional game
- game theory
- adaptive video streaming
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- 2 Finished
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ACCORDION: Adaptive edge/cloud compute and network continuum over a heterogeneous sparse edge infrastructure to support nextgen applications
Taleb, T., Amor, A., Bagaa, M., Batouche, A., Nadir, Z. & Shokrnezhad, M.
01/01/2020 → 31/12/2022
Project: EU: Framework programmes funding
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CSN: Customized Software Networking across Multiple Administrative Domains
Taleb, T., Addad, R., Afolabi, I., Amor, A., El Marai, O., Boudi, A., Bagaa, M., Bekkouche, O., Benzaid, C., Hellaoui, H., Kerfah, I., Kianpisheh, S., Mada, B., Yang, B., Sehad, N., Shokrnezhad, M., Maity, I., Naas, S., Yu, H. & Mariouak, M.
01/09/2017 → 31/08/2021
Project: Academy of Finland: Other research funding