DocumentCode :
2668103
Title :
Network Coding in a Multicast Switch
Author :
Sundararajan, Jay Kumar ; Medard, Muriel ; Kim, MinJi ; Eryilmaz, Atilla ; Shah, Devavrat ; Koetter, Ralf
Author_Institution :
Massachusetts Inst. of Technol., Cambridge
fYear :
2007
fDate :
6-12 May 2007
Firstpage :
1145
Lastpage :
1153
Abstract :
We consider the problem of serving multicast flows in a crossbar switch. We show that linear network coding across packets of a flow can sustain traffic patterns that cannot be served if network coding were not allowed. Thus, network coding leads to a larger rate region in a multicast crossbar switch. We demonstrate a traffic pattern which requires a switch speedup if coding is not allowed, whereas, with coding the speedup requirement is eliminated completely. In addition to throughput benefits, coding simplifies the characterization of the rate region. We give a graph-theoretic characterization of the rate region with fanout splitting and intra-flow coding, in terms of the stable set polytope of the "enhanced conflict graph" of the traffic pattern. Such a formulation is not known in the case of fanout splitting without coding. We show that computing the offline schedule (i.e. using prior knowledge of the flow arrival rates) can be reduced to certain graph coloring problems. Finally, we propose online algorithms (i.e. using only the current queue occupancy information) for multicast scheduling based on our graph-theoretic formulation. In particular, we show that a maximum weighted stable set algorithm stabilizes the queues for all rates within the rate region.
Keywords :
encoding; graph colouring; multicast communication; packet switching; telecommunication traffic; enhanced conflict graph coloring problem; linear network coding; maximum weighted stable set algorithm; multicast crossbar switch scheduling; stable set polytope; traffic patterns; Fabrics; Multicast algorithms; Network coding; Optimal scheduling; Processor scheduling; Switches; Telecommunication traffic; Throughput; Traffic control; Unicast;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INFOCOM 2007. 26th IEEE International Conference on Computer Communications. IEEE
Conference_Location :
Anchorage, AK
ISSN :
0743-166X
Print_ISBN :
1-4244-1047-9
Type :
conf
DOI :
10.1109/INFCOM.2007.137
Filename :
4215719
Link To Document :
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