Compressed transmission of remote network management information with synchronized context-aware dictionary

In this paper, we propose a compression method of information for remote network management, such as command-response messages and operation logs of network devices. The key technologies of the proposed method are tree-type, context-aware compression dictionary, and dictionary synchronization between local and remote systems. We evaluate the performance of the proposed method using command-response history and operation logs of actual network devices. The results show that when the dictionary used for compression is constructed offline, 1-7% of the compression ratios<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> are obtained regardless of the used dataset. When the compression dictionary is updated online, the compression ratio degrades but remains far superior to conventional methods. We also confirm that pre-processing target information can significantly improve the compression ratio.

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Publication Details

Published
2025-05-20
DOI
https://doi.org/10.1109/hpsr64165.2025.11038884
Primary Topic
Mobile Agent-Based Network Management
Type
article
Field-Weighted Citation Impact
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article

Compressed transmission of remote network management information with synchronized context-aware dictionary

Ryoichi Miyamoto, Go Hasegawa, Masaki Tsuji, Kazushi Toyoda
Mobile Agent-Based Network Management
article

Compressed transmission of remote network management information with synchronized context-aware dictionary

Ryoichi Miyamoto, Go Hasegawa, Masaki Tsuji, Kazushi Toyoda
article en

Abstract

In this paper, we propose a compression method of information for remote network management, such as command-response messages and operation logs of network devices. The key technologies of the proposed method are tree-type, context-aware compression dictionary, and dictionary synchronization between local and remote systems. We evaluate the performance of the proposed method using command-response history and operation logs of actual network devices. The results show that when the dictionary used for compression is constructed offline, 1-7% of the compression ratios<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> are obtained regardless of the used dataset. When the compression dictionary is updated online, the compression ratio degrades but remains far superior to conventional methods. We also confirm that pre-processing target information can significantly improve the compression ratio.

Tohoku University (JP), Furukawa Electric (Japan) (JP)
Openalex Percentile: Top 85%
Mobile Agent-Based Network Management
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