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
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