Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 한진영 | - |
dc.date.accessioned | 2018-06-20T05:21:19Z | - |
dc.date.available | 2018-06-20T05:21:19Z | - |
dc.date.issued | 2017-06 | - |
dc.identifier.citation | 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS), Page. 298-307 | en_US |
dc.identifier.issn | 1063-6927 | - |
dc.identifier.uri | https://ieeexplore.ieee.org/document/7979976/ | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/72170 | - |
dc.description.abstract | Fog computing is an emerging architecture that aims to run applications on multiple devices that lie on a continuum from cloud servers to personal user smartphones. These architectures allow applications to optimize over the information stored at and functionalities run on each device, based on individual device capabilities. We demonstrate the benefits of this approach for mobile video streaming. Existing HAS (HTTP adaptive streaming) techniques often suffer from problems like unstable video quality and suboptimal resource utilization. We find that a lack of coordination prevents both clientand network-side HAS techniques from solving them. However, our fog approach can exploit existing telecommunication APIs, which expose network capabilities to applications, in order to coordinate between clients and the network. Our coordinated HAS solution, FLARE, optimizes the total utility of all clients in a cell while maintaining stable video quality and supporting user- and device-specific needs. We implement FLARE on a commodity LTE femtocell and use the implementation to conduct the first comparison of HAS players on an LTE femtocell. By conducting extensive experiments using the ns-3 simulator, we also demonstrate that FLARE (i) enhances the average video bitrate, (ii) achieves stable video quality, and (iii) balances the throughput of simultaneous video and data flows, compared to other representative HAS solutions. © 2017 IEEE. | en_US |
dc.description.sponsorship | This work was partly supported by NSF grant CNS- 1525435, an Institute for Information and Communications Technology Promotion (IITP) grant funded by the Korean government (MSIP) (B0190-16-2013, Development of Access Technology Agnostic Next-Generation Networking Technology for Wired-Wireless Converged Networks), and the research fund of Hanyang University (HY-2017-N). The snusamsung smart campus research center at Seoul National University provides research facilities for this study. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | IEEE | en_US |
dc.subject | 5G | en_US |
dc.subject | Fog computing | en_US |
dc.subject | HTTP adaptive streaming | en_US |
dc.subject | LTE | en_US |
dc.subject | MPEG DASH | en_US |
dc.title | FLARE: Coordinated Rate Adaptation for HTTP Adaptive Streaming in Cellular Networks | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1109/ICDCS.2017.195 | - |
dc.relation.page | 298-307 | - |
dc.contributor.googleauthor | Im, Y | - |
dc.contributor.googleauthor | Han, J | - |
dc.contributor.googleauthor | Lee, JH | - |
dc.contributor.googleauthor | Kwon, Y | - |
dc.contributor.googleauthor | Joe-Wong, C | - |
dc.contributor.googleauthor | Kwon, T | - |
dc.contributor.googleauthor | Ha, S | - |
dc.relation.code | 20170137 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF COMPUTING[E] | - |
dc.sector.department | DIVISION OF MEDIA, CULTURE, AND DESIGN TECHNOLOGY | - |
dc.identifier.pid | jinyounghan | - |
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