Per-flow delay performance in traffic aggregates
作者： P. Siripongwutikorn , S. Banerjee
DOI: 10.1109/GLOCOM.2002.1189107
关键词: Scheduling (computing) 、 Traffic generation model 、 FIFO (computing and electronics) 、 Burstiness 、 Computer network 、 Weighted fair queueing 、 Queueing theory 、 Internet traffic engineering 、 Queue 、 Computer science 、 Differentiated service 、 Packet switching
摘要: Class-based traffic treatment frameworks such as differentiated service (DiffServ) have been proposed to resolve the poor scalability problem in flow-based approach. Although performance is a class-based basis, seen by individual flows same class may differ from that and has not well understood. We investigate this issue simulation single node under FIFO, static priority, waiting time weighted fair queueing scheduling schemes. Our results indicate discrepancy occurs especially when joining are heterogeneous, which uncommon considering type of applications can generate having very different statistical behaviors video with activity levels, or voice compression found per-flow delay statistics, including average 99/sup th/ percentile delay, be corresponding depending on flow burstiness, overall load, queue discipline. also propose solution reduce mean variance experienced class.
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