2007
DOI: 10.1002/bltj.20217
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Ethernet aggregation and core network models for effcient and reliable IPTV services

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Cited by 7 publications
(4 citation statements)
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“…The CVSAP problem differs from many models studied in the context of IPTV [17], sensor networks [12,13], or fiber-optical transport [17], to just name a few, in that the number and placement of processing locations is subject to optimization as well.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…The CVSAP problem differs from many models studied in the context of IPTV [17], sensor networks [12,13], or fiber-optical transport [17], to just name a few, in that the number and placement of processing locations is subject to optimization as well.…”
Section: Related Workmentioning
confidence: 99%
“…Efficient multicasting and aggregation is a mature research field, and many important theoretical and practical results have been obtained over the last decades. Applications range from IPTV [17] over sensor networks [12,13] to fiber-optical transport [17]. Fig.…”
Section: Introductionmentioning
confidence: 99%
“…When the video sub-streams within the multimedia sub-channel leave a managed core-network, they will be accessed over various network types such as Asymmetric Digital Subscriber Line (ADSL) (Zheng & Lin, 2000), broadband wireless including IEEE 802.16 (WiMAX) (She et al, 2007), or a passive optical network (Hermsmeyer et al, 2007). For example, in Lee et al (2009) the architecture of an IPTV scheme for mobile WiMAX is illustrated.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, in [11], the authors performed a cost investigation of transport architectures based only on demand and physical layer capabilities. In our work, we use an Ethernet based next generation aggregation network in which the BRAS has been replaced by multipurpose Broadband Network Gateways (BNGs), Multi-Service Edge Routers (MSEs) and Video BNGs [4], [12]. We also propose multiple architectures based on the distribution and clustering of the edge functionalities.…”
Section: Background Workmentioning
confidence: 99%