國立虎尾科技大學 |

High Performance On-Demand Video Transcoding Using Cloud Services.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	High Performance On-Demand Video Transcoding Using Cloud Services./
Author:	Li, Xiangbo.
Description:	1 online resource (147 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 78-12(E), Section: B.
Subject:	Computer engineering. -
Online resource:	click for full text (PQDT)
ISBN:	9780355113099

High Performance On-Demand Video Transcoding Using Cloud Services.
Li, Xiangbo.

High Performance On-Demand Video Transcoding Using Cloud Services. - 1 online resource (147 pages)

Source: Dissertation Abstracts International, Volume: 78-12(E), Section: B.

Thesis (Ph.D.)--University of Louisiana at Lafayette, 2016.

Includes bibliographical references

Video streams usually have to be transcoded to match the characteristics of viewers' devices. Transcoding is a computationally expensive and time-consuming task. Streaming service providers have to store numerous transcoded versions of a given video to serve various display devices, which becomes cost-prohibitive while the video streaming demands increase significantly. Given the fact that viewers' access pattern to video streams follows a long tail distribution, we propose to transcode video streams with low access rate in an on-demand manner using cloud computing services. The challenge in utilizing cloud services for on-demand video transcoding is to maintain a robust QoS for viewers and cost-efficiency for streaming service providers. To address this challenge, in this dissertation, we present a Cloud-based Video Streaming Service (CVSS) architecture which includes a QoS-aware scheduling method to efficiently map video streams to cloud resources. With a detailed study and anlysis of the performance affinity of the transcoding operations on different types of Virtual Machines (VMs), we proposed self-configurable VM provisioning policies to transcode video in a more cost-efficient way. Simulation results demonstrate that with the policies, CVSS architecture maintains a robust QoS for viewers while reducing the incurred cost of the streaming service provider by up to 85%. This dissertation also presents a Cloud-based Video Live Streaming (VLSC) architecture that facilitates transcoding for live video streaming while considering QoS.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355113099Subjects--Topical Terms:

569006
Computer engineering.
Index Terms--Genre/Form:

554714
Electronic books.

High Performance On-Demand Video Transcoding Using Cloud Services.
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245 1 0 $a High Performance On-Demand Video Transcoding Using Cloud Services.
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300 $a 1 online resource (147 pages)
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500 $a Source: Dissertation Abstracts International, Volume: 78-12(E), Section: B.
500 $a Advisers: Magdy A. Bayoumi; Mohsen Amini Salehi.
502 $a Thesis (Ph.D.)--University of Louisiana at Lafayette, 2016.
504 $a Includes bibliographical references
520 $a Video streams usually have to be transcoded to match the characteristics of viewers' devices. Transcoding is a computationally expensive and time-consuming task. Streaming service providers have to store numerous transcoded versions of a given video to serve various display devices, which becomes cost-prohibitive while the video streaming demands increase significantly. Given the fact that viewers' access pattern to video streams follows a long tail distribution, we propose to transcode video streams with low access rate in an on-demand manner using cloud computing services. The challenge in utilizing cloud services for on-demand video transcoding is to maintain a robust QoS for viewers and cost-efficiency for streaming service providers. To address this challenge, in this dissertation, we present a Cloud-based Video Streaming Service (CVSS) architecture which includes a QoS-aware scheduling method to efficiently map video streams to cloud resources. With a detailed study and anlysis of the performance affinity of the transcoding operations on different types of Virtual Machines (VMs), we proposed self-configurable VM provisioning policies to transcode video in a more cost-efficient way. Simulation results demonstrate that with the policies, CVSS architecture maintains a robust QoS for viewers while reducing the incurred cost of the streaming service provider by up to 85%. This dissertation also presents a Cloud-based Video Live Streaming (VLSC) architecture that facilitates transcoding for live video streaming while considering QoS.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Computer engineering. $3 569006
650 4 $a Computer science. $3 573171
655 7 $a Electronic books. $2 local $3 554714
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690 $a 0984
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710 2 $a University of Louisiana at Lafayette. $b Computer Engineering. $3 1188574
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10245247 $z click for full text (PQDT)