Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/107113
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electrical and Electronic Engineering | - |
dc.contributor | Mainland Development Office | - |
dc.creator | Zhang, G | - |
dc.creator | Liu, K | - |
dc.creator | Hu, H | - |
dc.creator | Aggarwal, V | - |
dc.creator | Lee, JYB | - |
dc.date.accessioned | 2024-06-13T01:03:59Z | - |
dc.date.available | 2024-06-13T01:03:59Z | - |
dc.identifier.issn | 1536-1233 | - |
dc.identifier.uri | http://hdl.handle.net/10397/107113 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.rights | The following publication G. Zhang, K. Liu, H. Hu, V. Aggarwal and J. Y. B. Lee, "Post-Streaming Wastage Analysis – A Data Wastage Aware Framework in Mobile Video Streaming," in IEEE Transactions on Mobile Computing, vol. 22, no. 1, pp. 389-401, Jan. 2023 is available at https://doi.org/10.1109/TMC.2021.3069764. | en_US |
dc.subject | Data wastage | en_US |
dc.subject | Mobile network | en_US |
dc.subject | Quality-of-experience | en_US |
dc.subject | Video streaming | en_US |
dc.title | Post-streaming wastage analysis – A data wastage aware framework in mobile video streaming | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 389 | - |
dc.identifier.epage | 401 | - |
dc.identifier.volume | 22 | - |
dc.identifier.issue | 1 | - |
dc.identifier.doi | 10.1109/TMC.2021.3069764 | - |
dcterms.abstract | Mobile video streaming is now ubiquitous among mobile users. This work investigates a less studied and yet significant problem in mobile video streaming - data wastage, i.e., some downloaded video data may not be played back but discarded by video players due to early departure or video skip, thus the bandwidth consumed in transferring them is wasted. Our measurements show that data wastage is significant in practice, e.g., 25.2 percent∼51.7 percent of video data downloaded are in fact wasted. Moreover, substantial data wastage exists not only in current commercial streaming platforms, but also in state-of-the-art adaptive streaming systems proposed in the literature. This work develops a new post-streaming wastage analysis (PSWA) framework to tackle this problem by converting existing adaptive streaming algorithms into data wastage aware versions. PSWA enables the streaming vendors to explicitly control the tradeoff between data wastage and quality-of-experience (QoE). Extensive evaluations show that PSWA can reduce data wastage significantly (e.g., 80 percent) without any adverse impact on QoE. Moreover, it has strong robustness to perform consistently across a wide range of networks. PSWA can be readily implemented into current streaming platforms, and thus offers a practical solution to data wastage for mobile streaming services. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE transactions on mobile computing, Jan. 2023, v. 22, no. 1, p. 389-401 | - |
dcterms.isPartOf | IEEE transactions on mobile computing | - |
dcterms.issued | 2023-01 | - |
dc.identifier.scopus | 2-s2.0-85103767685 | - |
dc.identifier.eissn | 1558-0660 | - |
dc.description.validate | 202403 bckw | - |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | EIE-0104 | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Natural Science Foundation of China; National Key Research and Development Program of China; Shandong Provincial Natural Science Foundation; Beijing Municipal Natural Science Foundation | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 48683553 | en_US |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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Hu_Post-Streaming_Wastage_Analysis.pdf | Pre-Published version | 2.36 MB | Adobe PDF | View/Open |
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