Objective: Report per-flow throughput measurement using minimal memory so that it can be implemented using SRAM and applied to high-speed network.
[more]
Wu, Xiao, Li, Sun (2008) A Distributed Algorithm for Finding Global Icebergs with Linked Counting Bloom Filters (ICC'08)
Objective: A collection of objects are stored in multiple hosts distributively
such that each host only has a partial collection. The problem is to tell the
icebergs amongst these objects without using centralised server.
[more]
Kumar et al (2004) Space-Code Bloom Filter for Efficient Per-Flow Traffic Measurement (INFOCOM)
Objective: Perform per-flow traffic measurement (error tolerated) in a high speed with limited memory.
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Lu et al (2007) ElephantTrap: A low cost device for identifying large flows (IEEE SHPI)
An algorithm is proposed to detect elephant flows. It assumes the flow rates are under Pareto distribution and the algorithm is as follows:
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Mori et al (2004) Identifying Elephant Flows Through Periodically Sampled Packets (IMC'04)
Attacking the elephant and mice phenomenon (the vital few and trivial many rule) in a high speed Internet, try to determine the elephant flows. The elephant flows in this paper is defined as those who consumes more than 0.1% of link bandwidth.
[more]