Exploring a system architecture of content‐based publish/subscribe system for efficient on‐the‐fly data dissemination. (24th November 2020)

• Record Type: Journal Article
• Authors: Yoon, Daegun; Park, Gyudong; Oh, Sangyoon
• Other Names: Oh Sangyoon guestEditor.; de Camargo Raphael Y. guestEditor.; Marozzo Fabrizio guestEditor.; Martins Wellington guestEditor.; Kołodziej Joanna guestEditor.; Jaatun Martin Gilje guestEditor.
• Is Part Of: Concurrency and computation. Volume 33:Number 18(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-11-24
• Subjects: load balancing -- publish/subscribe system -- space partitioning -- subscription replication; Parallel processing (Electronic computers) -- Periodicals; Parallel computers -- Periodicals; 004.35
• DOI: 10.1002/cpe.6090
• Languages: English
• ISSNs: 1532-0626

Abstract

Summary: In a cloud‐scale publish/subscribe messaging system, it is difficult to partition subscription data among several servers. Without a sophisticated scheme and a system architecture, the messaging system would either waste resources or fail to deliver messages on time. In this study, we propose DRDA, a dynamic replication degree adjustment technology, for efficient message delivery. The technology calculates and maintains the number of subscription replications at a reasonable level by monitoring the statuses of servers, based on the number of subscription replications and the frequency of event dissemination. To verify the effectiveness of our proposed scheme and system architecture, we build a prototype of a content‐based publish/subscribe system that dynamically adjusts the number of replications among brokers. Furthermore, we compare the load balance, resource overhead, and performance of a publish/subscribe system with DRDA with a publish/subscribe system without DRDA. The experimental results show that DRDA outperforms other approaches under various parameter configurations. We have added the prototype code to a GitHub repository to make it publicly available.