2020 IEEE International Symposium on Multimedia (ISM) 2020
DOI: 10.1109/ism.2020.00009
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Dynamic Segment Repackaging at the Edge for HTTP Adaptive Streaming

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Cited by 5 publications
(3 citation statements)
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“…It records comprehensive logs from the test streaming session and provides visualized statistics over the results on the Bitmovin Analytics 1 dashboard or similar applications. In another work [10], the authors further developed the functionalities of CAdViSE to suit their project needs, leading to the implementation of a new network node (an edge) in the testbed for repackaging the content more efficiently. CADLAD [11] is another extension of CAdViSE, which presented the implementation of some parts of the Common Media Client Data (CMCD) standard on this testbed.…”
Section: Related Workmentioning
confidence: 99%
“…It records comprehensive logs from the test streaming session and provides visualized statistics over the results on the Bitmovin Analytics 1 dashboard or similar applications. In another work [10], the authors further developed the functionalities of CAdViSE to suit their project needs, leading to the implementation of a new network node (an edge) in the testbed for repackaging the content more efficiently. CADLAD [11] is another extension of CAdViSE, which presented the implementation of some parts of the Common Media Client Data (CMCD) standard on this testbed.…”
Section: Related Workmentioning
confidence: 99%
“…While packaging is generally less computationally intensive than encoding, the need to cater to and produce multiple delivery formats may add considerable latency to the workflow. To mitigate this, [5] proposed a solution that first packages the content in a single format and when necessary (e.g., when a player does not support the currently available format), repackages the segments dynamically at the edge. Such solutions may be effective if there is a format far more popular than the others, as this increases the utility of the first packaging.…”
Section: A Media Content Preparation Latency (Mcpl)mentioning
confidence: 99%
“…Through edge caching, as illustrated in Figure 2 , the most popular information is placed close to the end-users, from where the users can acquire it without using the entire network infrastructure. Cloud/edge/fog infrastructure is mainly used to process the information, for example, to predict the most popular data or to process the data, for example, video transcoding [ 34 ] or convert the media formats used by different HTTP streaming systems [ 35 ] to minimize the amount of information cached and thus better use caching resources. For the case of wired transmission (i.e., HTTP streaming, WebRTC, etc.…”
Section: Multimedia Transmission Pipelinementioning
confidence: 99%