首页|Jigsaw-Sketch:a fast and accurate algorithm for finding top-k elephant flows in high-speed networks

Jigsaw-Sketch:a fast and accurate algorithm for finding top-k elephant flows in high-speed networks

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Finding top-k elephant flows in high-speed networks is one of the most fundamental network measurement tasks.It is more challenging than per-flow size estimation since the IDs and sizes of top-k flows must be tracked simultaneously.Most existing studies only record the IDs of a small number of elephant flows to fit their estimators in the extremely limited high-speed on-chip memory.However,these solutions need too many memory accesses when a packet arrives to track the elephant flows with high accuracy,which limits their practicability.Therefore,this paper proposes Jigsaw-Sketch,a new algorithm to find the top-k elephant flows with much fewer memory accesses while achieving high memory efficiency and accuracy.In this design,we propose a novel two-stage jigsaw storage scheme,which can capture the candidate top-k flows from massive network steams efficiently,and further find the top-k elephant flows with high memory efficiency and only a few memory accesses for each packet.Extensive experimental results based on real network traces show that Jigsaw-Sketch improves the packet processing throughput by at least 86%,while achieving smaller memory footprints and higher accuracy compared to the SOTA.

sketchtop-knetwork measurementelephant flowhigh-speed networks

Boyu ZHANG、He HUANG、Yu-E SUN、Yang DU、Dan WANG

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School of Computer Science and Technology,Soochow University,Suzhou 215006,China

School of Rail Transportation,Soochow University,Suzhou 215006,China

国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金江苏省自然科学基金江苏省博士后科研资助计划

6233201362072322U20A2018262202322BK202107062021K165B

2024

中国科学:信息科学(英文版)
中国科学院

中国科学:信息科学(英文版)

CSTPCDEI
影响因子:0.715
ISSN:1674-733X
年,卷(期):2024.67(4)
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