Distributed video transcoding and its application to grid delivery

Sambe, Yasuo; Watanabe, S.; Yu, Dong Sik; Nakamura, Taichi; Wakamiya, Naoki

doi:10.1109/apcc.2003.1274320

Cited by 2 publications

(3 citation statements)

References 5 publications

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“…Experimental results show the distributed transcoding system with 10 PCs decrease the total transcoding time by a factor of 7. More work needs to be done on a better video rate-control for variable bit rate encoding, and a better scheduling algorithm for unequal PC performance [13] and that can deal with PC failure during operation.…”

Section: Resultsmentioning

confidence: 99%

High-Speed Distributed Video Transcoding for Multiple Rates and Formats

Sambe

Watanabe

et al. 2005

IEICE Transactions on Information and Systems

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This paper describes a distributed video transcoding system that can simultaneously transcode an MPEG-2 video file into various video coding formats with different rates. The transcoder divides the MPEG-2 file into small segments along the time axis and transcodes them in parallel. Efficient video segment handling methods are proposed that minimize the inter-processor communication overhead and eliminate temporal discontinuities from the re-encoded video. We investigate how segment transcoding should be distributed to obtain the shortest total transcoding time. Experimental results show that implementing distributed transcoding on 10 PCs can decrease the total transcoding time by a factor of about 7 for single transcoding and by a factor of 9.5 for simultaneous three kinds of transcoding rates.

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Section: Resultsmentioning

confidence: 99%

High-Speed Distributed Video Transcoding for Multiple Rates and Formats

Sambe

Watanabe

et al. 2005

IEICE Transactions on Information and Systems

Self Cite

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“…Assume is the unwanted positive deviation which numerically exceeds the th goal and let be the unwanted negative deviation which falls short of the th goal. We can express this problem as follows: (17) subject to util IVM + 1 = constraint util IVM (18) util SVM + 2 = constraint util SVM (19) util TVM + 3 = constraint util TVM (20) rt − 4 = constraint rt (21) sl − 5 = constraint sl (22) te + 6 = constraint te (23) ec − 7 = constraint ec (24) pp…”

Section: Problem Formulationmentioning

confidence: 99%

“…These equations are formulations of related criteria derived in Section 4 and each of these equations has a specific constraint defined by the streaming service platform. Equations (18), (19), and (20) stand for Utilization of IVM, SVM, and TVM, and (21), (22), and (23) are regarded as response time, startup latency, and transcoding efficiency, respectively. And the last two equations, (24) and (25), are viewed as energy consumption and profit performance.…”

Section: Problem Formulationmentioning

confidence: 99%

Multicriteria Resource Brokering in Cloud Computing for Streaming Service

Chou

Horng

Huang

et al. 2015

Mathematical Problems in Engineering

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By leveraging cloud computing such as Infrastructure as a Service (IaaS), the outsourcing of computing resources used to support operations, including servers, storage, and networking components, is quite beneficial for various providers of Internet application. With this increasing trend, resource allocation that both assures QoS via Service Level Agreement (SLA) and avoids overprovisioning in order to reduce cost becomes a crucial priority and challenge in the design and operation of complex service-based platforms such as streaming service. On the other hand, providers of IaaS also concern their profit performance and energy consumption while offering these virtualized resources. In this paper, considering both service-oriented and infrastructure-oriented criteria, we regard this resource allocation problem as Multicriteria Decision Making problem and propose an effective trade-off approach based on goal programming model. To validate its effectiveness, a cloud architecture for streaming application is addressed and extensive analysis is performed for related criteria. The results of numerical simulations show that the proposed approach strikes a balance between these conflicting criteria commendably and achieves high cost efficiency.

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Distributed video transcoding and its application to grid delivery

Cited by 2 publications

References 5 publications

High-Speed Distributed Video Transcoding for Multiple Rates and Formats

High-Speed Distributed Video Transcoding for Multiple Rates and Formats

Multicriteria Resource Brokering in Cloud Computing for Streaming Service

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