Elastic_HH: Tailored Elastic for Finding Heavy Hitters

09/05/2019
by   Xilai Liu, et al.
0

Finding heavy hitters has been of vital importance in network measurement. Among all the recent works in finding heavy hitters, the Elastic sketch achieves the highest accuracy and fastest speed. However, we find that there is still room for improvement of the Elastic sketch in finding heavy hitters. In this paper, we propose a tailored Elastic to enhance the sketch only for finding heavy hitters at the cost of losing the generality of Elastic.To tailor Elastic, we abandon the light part, and improve the eviction strategy. Our experimental results show that compared with the standard Elastic, our tailored Elastic reduces the error rate to 5.7 8.1 times and increases the speed to 2.5 times. All the related source codes and datasets are available at Github.

READ FULL TEXT
research
10/23/2019

A Fast and Compact Invertible Sketch for Network-Wide Heavy Flow Detection

Fast detection of heavy flows (e.g., heavy hitters and heavy changers) i...
research
06/19/2022

Hierarchical coded elastic computing

Elasticity is offered by cloud service providers to exploit under-utiliz...
research
11/04/2021

Count-Less: A Counting Sketch for the Data Plane of High Speed Switches

Demands are increasing to measure per-flow statistics in the data plane ...
research
02/28/2022

On the Robustness of CountSketch to Adaptive Inputs

CountSketch is a popular dimensionality reduction technique that maps ve...
research
11/06/2018

Elastic CoCoA: Scaling In to Improve Convergence

In this paper we experimentally analyze the convergence behavior of CoCo...
research
05/28/2023

Integrating Elastic Bands to Enhance Performance for Textile Robotics

The elastic bands integrated using the ruffles technique proved to be ef...
research
12/26/2021

Numerical validation of Koiter's model for all the main types of linearly elastic shells in the static case

In this paper, we validate the main theorems establishing the justificat...

Please sign up or login with your details

Forgot password? Click here to reset