2010 IEEE Network Operations and Management Symposium - NOMS 2010 2010
DOI: 10.1109/noms.2010.5488363
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Towards intelligent scheduling of multimedia content in future access networks

Abstract: Abstract-The popularity of streaming multimedia services has greatly increased in recent years. Telco-and cable-providers have started offering a plethora of multimedia services in the access and aggregation network, including video on demand, interactive digital television, and time-shifted TV. However, these services introduce additional challenges, such as stringent time constraints, and high bandwidth requirements. To overcome these problems, we explore the advantages of delivering such multimedia content … Show more

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Cited by 2 publications
(2 citation statements)
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“…LRU, LFU), cache sizes should be large enough. For small caches, timing information in combination with sufficient upfront content request advertising [5] and recommendation based request overlap [13] can improve the cache performance dramatically. Though these mechanisms can also be applied on HTTP based content distribution, they introduce extra application state and algorithms, and don't result in a solution for our targets.…”
Section: Related Workmentioning
confidence: 99%
“…LRU, LFU), cache sizes should be large enough. For small caches, timing information in combination with sufficient upfront content request advertising [5] and recommendation based request overlap [13] can improve the cache performance dramatically. Though these mechanisms can also be applied on HTTP based content distribution, they introduce extra application state and algorithms, and don't result in a solution for our targets.…”
Section: Related Workmentioning
confidence: 99%
“…In [3], we proposed an alternative approach to evaluate flow priority on the basis of the need-by time. Applying this approach to the semantic segmentation and late assembly paradigm, the assembly device-which is located close to the end user and reconstructs the video stream segment per segmentwill now add a delivery deadline per requested segment.…”
Section: Deadline Schedulingmentioning
confidence: 99%