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  1. Transactions on Multimedia Computing, Communications, and Applications (TOMM)
  2. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) : Volume 11
  3. Issue 2s(Special Issue on MMSYS 2014), February 2015
  4. Scheduling a Video Transcoding Server to Save Energy
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ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) : Volume 13
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) : Volume 12
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) : Volume 11
Issue 4, April 2015
Issue 2s(Special Issue on MMSYS 2014), February 2015
Introduction to the Special Issue on MMSys 2014 and NOSSDAV 2014
CamMark: Analyzing, Modeling, and Simulating Artifacts in Camcorder Copies
Optimal Selection of Adaptive Streaming Representations
Analysis and Detection of Fake Views in Online Video Services
Scheduling a Video Transcoding Server to Save Energy
Decoder-Complexity-Aware Encoding of Motion Compensation for Multiple Heterogeneous Receivers
3DTI Amphitheater: Towards 3DTI Broadcasting
Issue 3, January 2015
Issue 2, December 2014
Issue 1s(Special Issue on Multiple Sensorial (MulSeMedia) Multimodal Media : Advances and Applications), September 2014
Issue 1, August 2014
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) : Volume 10
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) : Volume 9
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) : Volume 8

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Scheduling a Video Transcoding Server to Save Energy

Content Provider ACM Digital Library
Author Park, Jinhan Lee, Yeongju Song, Minseok
Copyright Year 2015
Abstract Recent popular streaming services such as TV Everywhere, N-Screen, and dynamic adaptive streaming over HTTP (DASH) need to deliver content to the wide range of devices, requiring video content to be transcoded into different versions. Transcoding tasks require a lot of computation, and each task typically has its own real-time constraint. These make it difficult to manage transcoding, but the more efficient use of energy in servers is an imperative. We characterize transcoding workloads in terms of deadlines and computation times, and propose a new dynamic voltage and frequency scaling (DVFS) scheme that allocates a frequency and a workload to each CPU with the aim of minimizing power consumption while meeting all transcoding deadlines. This scheme has been simulated, and also implemented in a Linux transcoding server, in which a frontend node distributes transcoding requests to heterogeneous backend nodes. This required a new protocol for communication between nodes, a DVFS management scheme to reduce power consumption and thread management and scheduling schemes which ensure that transcoding deadlines are met. Power measurements show that this approach can reduce system-wide energy consumption by 17% to 31%, compared with the Linux Ondemand governor.
Starting Page 1
Ending Page 23
Page Count 23
File Format PDF
ISSN 15516857
e-ISSN 15516865
DOI 10.1145/2700282
Volume Number 11
Issue Number 2s
Journal ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2015-02-24
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Multimedia systems Dynamic voltage and frequency scaling Low-power systems
Content Type Text
Resource Type Article
Subject Hardware and Architecture Computer Networks and Communications
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