HVTS: Hadoop-Based Video Transcoding System for Media Services

Seokhyun SON; Myoungjin KIM

doi:10.1587/transfun.E100.A.1248

HVTS: Hadoop-Based Video Transcoding System for Media Services

Seokhyun SON, Myoungjin KIM

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In this letter, we propose a Hadoop-based Video Transcoding System (HVTS), which is designed to run on all major cloud computing services. HVTS is highly adapted to the structure and policies of Hadoop, thus it has additional capacities for transcoding, task distribution, load balancing, and content replication and distribution. To evaluate, our proposed system, we carry out two performance tests on our local testbed, transcoding and robustness to data node and task failures. The results confirmed that our system delivers satisfactory performance in facilitating seamless streaming services in cloud computing environments.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.5 pp.1248-1253

Publication Date: 2017/05/01

Publicized

Online ISSN: 1745-1337

DOI: 10.1587/transfun.E100.A.1248

Type of Manuscript: LETTER

Category: Graphs and Networks

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Seokhyun SON, Myoungjin KIM, "HVTS: Hadoop-Based Video Transcoding System for Media Services" in IEICE TRANSACTIONS on Fundamentals, vol. E100-A, no. 5, pp. 1248-1253, May 2017, doi: 10.1587/transfun.E100.A.1248.
Abstract: In this letter, we propose a Hadoop-based Video Transcoding System (HVTS), which is designed to run on all major cloud computing services. HVTS is highly adapted to the structure and policies of Hadoop, thus it has additional capacities for transcoding, task distribution, load balancing, and content replication and distribution. To evaluate, our proposed system, we carry out two performance tests on our local testbed, transcoding and robustness to data node and task failures. The results confirmed that our system delivers satisfactory performance in facilitating seamless streaming services in cloud computing environments.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.1248/_p

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@ARTICLE{e100-a_5_1248,
author={Seokhyun SON, Myoungjin KIM, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={HVTS: Hadoop-Based Video Transcoding System for Media Services},
year={2017},
volume={E100-A},
number={5},
pages={1248-1253},
abstract={In this letter, we propose a Hadoop-based Video Transcoding System (HVTS), which is designed to run on all major cloud computing services. HVTS is highly adapted to the structure and policies of Hadoop, thus it has additional capacities for transcoding, task distribution, load balancing, and content replication and distribution. To evaluate, our proposed system, we carry out two performance tests on our local testbed, transcoding and robustness to data node and task failures. The results confirmed that our system delivers satisfactory performance in facilitating seamless streaming services in cloud computing environments.},
keywords={},
doi={10.1587/transfun.E100.A.1248},
ISSN={1745-1337},
month={May},}

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TY - JOUR
TI - HVTS: Hadoop-Based Video Transcoding System for Media Services
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1248
EP - 1253
AU - Seokhyun SON
AU - Myoungjin KIM
PY - 2017
DO - 10.1587/transfun.E100.A.1248
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 5
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - May 2017
AB - In this letter, we propose a Hadoop-based Video Transcoding System (HVTS), which is designed to run on all major cloud computing services. HVTS is highly adapted to the structure and policies of Hadoop, thus it has additional capacities for transcoding, task distribution, load balancing, and content replication and distribution. To evaluate, our proposed system, we carry out two performance tests on our local testbed, transcoding and robustness to data node and task failures. The results confirmed that our system delivers satisfactory performance in facilitating seamless streaming services in cloud computing environments.
ER -