Paper
12 January 2023 ActiveHolder : an accurate and fast sketch for finding top-K flows
Zeqin Lin, Bin Qin, Wei Nie
Author Affiliations +
Proceedings Volume 12509, Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022); 125091M (2023) https://doi.org/10.1117/12.2655826
Event: Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022), 2022, Guangzhou, China
Abstract
The fundamental issue in network traffic measurement is data stream processing, and the main technique is estimating the frequency of various things to determine the top-k elephant flow. Finding top-k flows is crucial for the use of network management technologies including traffic engineering, DDoS attack detection, network anomaly detection, and congestion control. The expansion of high-speed networks has led to an increase in network traffic, making it important to create a quick and accurate online identification top-k method that uses less bandwidth. Our research revealed that it is challenging for current algorithms to simultaneously attain high precision and high throughput when memory is limited. To address this issue, we propose a brand-new data structure called ActiveHolder that combines counter and sketch technology and uses a replacement decay scheme to maintain the frequency values of the top-k flow items. This significantly reduces the impact of mouse flow on elephant flow. The experimental findings demonstrate that the ActiveHolder algorithm outperforms the state-of-the-art technology by achieving high precision and high processing rates with minimal memory cost.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zeqin Lin, Bin Qin, and Wei Nie "ActiveHolder : an accurate and fast sketch for finding top-K flows", Proc. SPIE 12509, Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022), 125091M (12 January 2023); https://doi.org/10.1117/12.2655826
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KEYWORDS
Data processing

Error analysis

Curium

Data centers

Databases

Electronics

Electronics engineering

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