NDLI: Shared dictionary compression in publish/subscribe systems

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Shared dictionary compression in publish/subscribe systems

Content Provider	ACM Digital Library
Author	Jacobsen, Hans-Arno Zhang, Kaiwen Ghinaiya, Tanuj Doblander, Christoph
Abstract	Publish/subscribe is known as a scalable and efficient data dissemination mechanism. Its efficiency comes from the optimized routing algorithms, yet few works exist on employing compression to save bandwidth, which is especially important in mobile environments. State of the art compression methods such as GZip or Deflate can be generally employed to compress messages. In this paper, we show how to reduce bandwidth even further by employing Shared Dictionary Compression (SDC) in pub/sub. However, SDC requires a dictionary to be generated and disseminated prior to compression, which introduces additional computational and bandwidth overhead. To support SDC, we propose a novel and lightweight protocol for pub/sub which employs a new class of brokers, called sampling brokers. Our solution generates, and disseminates dictionaries using the sampling brokers. Dictionary maintenance is performed regularly using an adaptive algorithm. The evaluation of our proposed design shows that it is possible to compensate for the introduced overhead and achieve significant bandwidth reduction over Deflate.
Starting Page	117
Ending Page	124
Page Count	8
File Format	PDF
ISBN	9781450340212
DOI	10.1145/2933267.2933308
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-06-13
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Compression Publish/subscribe Middleware
Content Type	Text
Resource Type	Article

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