dashc: a highly scalable client emulator for DASH video
dc.contributor.author | Reviakin, Aleksandr | |
dc.contributor.author | Zahran, Ahmed H. | |
dc.contributor.author | Sreenan, Cormac J. | |
dc.contributor.funder | Science Foundation Ireland | en |
dc.date.accessioned | 2018-07-03T13:25:04Z | |
dc.date.available | 2018-07-03T13:25:04Z | |
dc.date.issued | 2018-06 | |
dc.date.updated | 2018-07-03T11:42:14Z | |
dc.description.abstract | In this paper we introduce a client emulator for experimenting with DASH video. dashc is a standalone, compact, easy-to-build and easy-to-use command line software tool. The design and implementation of dashc were motivated by the pressing need to conduct network experiments with large numbers of video clients. The highly scalable dashc has low CPU and memory usage. dashc collects necessary statistics about video delivery performance in a convenient format, facilitating thorough post hoc analysis. The code of dashc is modular and new video adaptation algorithm can easily be added. We compare dashc to a state-of-the art client and demonstrate its efficacy for large-scale experiments using the Mininet virtual network. | en |
dc.description.sponsorship | 13/IA/1892 | en |
dc.description.status | Peer reviewed | en |
dc.description.version | Accepted Version | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Reviakin, A., Zahran, A. H., and Sreenan, C. J. (2018) 'dashc: a highly scalable client emulator for DASH video', Proceedings of ACM Multimedia Systems Conference (MMSys 2018), Amsterdam, The Netherlands, 12 - 15 June. | en |
dc.identifier.endpage | 6 | en |
dc.identifier.journaltitle | Proceedings of ACM Multimedia Systems Conference (MMSys 2018) | en |
dc.identifier.startpage | 1 | en |
dc.identifier.uri | https://hdl.handle.net/10468/6408 | |
dc.language.iso | en | en |
dc.publisher | Association for Computing Machinery, ACM | en |
dc.relation.ispartof | ACM Multimedia Systems Conference (MMSys 2018) | |
dc.relation.project | info:eu-repo/grantAgreement/SFI/SFI Investigator Programme/13/IA/1892/IE/An Internet Infrastructure for Video Streaming Optimisation (iVID)/ | en |
dc.relation.uri | http://www.mmsys2018.org | |
dc.relation.uri | http://www.mmsys2018.org/program/accepted-papers/ | |
dc.rights | © Owner/Author ACM 2018. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. | en |
dc.subject | DASH | en |
dc.subject | Video client emulator | en |
dc.subject | Video player | en |
dc.subject | Headless player | en |
dc.subject | Scalability | en |
dc.subject | Network performance | en |
dc.subject | CCS | en |
dc.subject | Computing methodologies | en |
dc.subject | Modeling and simulation | en |
dc.subject | Simulation support systems | en |
dc.subject | Simulation tools | en |
dc.subject | Information systems | en |
dc.subject | Information systems applications | en |
dc.subject | Multimedia information systems | en |
dc.subject | Multimedia streaming | en |
dc.title | dashc: a highly scalable client emulator for DASH video | en |
dc.type | Conference item | en |
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