HSS: A Memory-Efficient, Accurate, and Fast Network Measurement Framework in Sliding Windows

Network measurement is indispensable to network management. This paper focuses on three fundamental network measurement tasks: membership query, frequency query, and heavy hitter query. Existing solutions, such as sketches, sliding window algorithms, and the Sliding Sketch framework, struggle to simultaneously achieve memory efficiency, accuracy, real-time operation, and generic application. Accordingly, this paper proposes the Half Sliding Sketch (HSS), an improvement over the state-of-the-art Sliding Sketch framework. The HSS framework is applied to five contemporary sketches for the three aforementioned query tasks. Theoretical analysis reveals that our framework is faster, more memory-efficient and more accurate than the state-of-the-art Sliding Sketch while still being generic. Extensive experimental results reveal that HSS significantly enhances the accuracy for the three query tasks, achieving improvements of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$2\times $ </tex-math></inline-formula> to <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$28.7\times $ </tex-math></inline-formula>, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$1.5\times $ </tex-math></inline-formula> to <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$9\times $ </tex-math></inline-formula>, and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$2.4\times $ </tex-math></inline-formula> to <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$3.6\times $ </tex-math></inline-formula>, respectively. Moreover, in terms of speed, HSS is <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$1.2\times $ </tex-math></inline-formula> to <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$1.5\times $ </tex-math></inline-formula> faster than the Sliding Sketch.

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Publication Details

Journal
IEEE Transactions on Network and Service Management
Published
2024-09-20
DOI
https://doi.org/10.1109/tnsm.2024.3460751
Citations
1
Primary Topic
Interconnection Networks and Systems
Type
article
Field-Weighted Citation Impact
0.35
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article

HSS: A Memory-Efficient, Accurate, and Fast Network Measurement Framework in Sliding Windows

Yongjie Wang, Zijun Hang, Yuliang Lu
1 citations
IEEE Transactions on Network and Service Management
Interconnection Networks and Systems
0.35
article

HSS: A Memory-Efficient, Accurate, and Fast Network Measurement Framework in Sliding Windows

Yongjie Wang, Zijun Hang, Yuliang Lu
article en
1 citations

Abstract

Network measurement is indispensable to network management. This paper focuses on three fundamental network measurement tasks: membership query, frequency query, and heavy hitter query. Existing solutions, such as sketches, sliding window algorithms, and the Sliding Sketch framework, struggle to simultaneously achieve memory efficiency, accuracy, real-time operation, and generic application. Accordingly, this paper proposes the Half Sliding Sketch (HSS), an improvement over the state-of-the-art Sliding Sketch framework. The HSS framework is applied to five contemporary sketches for the three aforementioned query tasks. Theoretical analysis reveals that our framework is faster, more memory-efficient and more accurate than the state-of-the-art Sliding Sketch while still being generic. Extensive experimental results reveal that HSS significantly enhances the accuracy for the three query tasks, achieving improvements of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$2\times $ </tex-math></inline-formula> to <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$28.7\times $ </tex-math></inline-formula>, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$1.5\times $ </tex-math></inline-formula> to <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$9\times $ </tex-math></inline-formula>, and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$2.4\times $ </tex-math></inline-formula> to <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$3.6\times $ </tex-math></inline-formula>, respectively. Moreover, in terms of speed, HSS is <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$1.2\times $ </tex-math></inline-formula> to <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$1.5\times $ </tex-math></inline-formula> faster than the Sliding Sketch.

IEEE Transactions on Network and Service ManagementVol. 21(6)
National University of Defense Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 39%
Interconnection Networks and Systems
0.35
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