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- W2116066595 abstract "Offline scheduling is attractive when the traffic profile is known a priori since the complexity of online scheduling is largely removed. Given any admissible rate matrix @L=(@lij), Birkhoff-von Neumann decomposition offers a quasi-offline scheduling strategy that can provide a service rate of at least @lij for each flow (i,j) without internal speedup. This paper extends the Birkhoff-von Neumann switching strategy to consider traffic profiles in which the traffic demands are specified as statistical distributions rather than fixed rates." @default.
- W2116066595 created "2016-06-24" @default.
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- W2116066595 date "2010-05-01" @default.
- W2116066595 modified "2023-09-26" @default.
- W2116066595 title "Birkhoff-von Neumann switching with statistical traffic profiles" @default.
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- W2116066595 doi "https://doi.org/10.1016/j.comcom.2009.12.005" @default.
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