Segment-based proxy caching of multimedia streams
Proceedings of the 10th international conference on World Wide Web
Analysis of educational media server workloads
NOSSDAV '01 Proceedings of the 11th international workshop on Network and operating systems support for digital audio and video
An Active Transcoding Proxy to Support Mobile Web Access
SRDS '98 Proceedings of the The 17th IEEE Symposium on Reliable Distributed Systems
A study of transcoding on cloud environments for video content delivery
Proceedings of the 2010 ACM multimedia workshop on Mobile cloud media computing
Caching strategies in transcoding-enabled proxy systems for streaming media distribution networks
IEEE Transactions on Multimedia
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The same video contents tend to exist in various formats depending on encodings and resolutions, as there are many different codecs and devices of various screen sizes. Particularly, when videos are consumed by a viewer on multiple screens, such as digital TVs, smartphones and tablets, appropriate formats of videos need to be delivered to client viewers. Video transcoding is inevitable to handle such cases. Since real-time video transcoding requires enormous computing power, cloud computing has emerged as a strong candidate to process many transcoding requests. However, resource provision for cloud computing is an essential part in cloud transcoding systems. With a given video request, we need to estimate how many machines will suffice the requests and how much cache space is appropriate for real-time transcoding. In this paper, we provide an analytic simulation for cloud transcoding systems with cache capability and explore a required number of machines and amount of cache size to handle given video transcoding requests.