A Low-Delay, Light-Weight Publish/Subscribe Architecture for Delay-Sensitive IOT Services

Yunlei Sun, Xiuquan Qiao, Wei Tan, Bo Cheng, Ruisheng Shi and Junliang Chen
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Yunlei Sun: State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China & College of Computer and Communication Engineering, China University of Petroleum, Qingdao, China
Xiuquan Qiao: State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China
Wei Tan: IBM T. J. Watson Research Center, Yorktown Heights, NY, USA
Bo Cheng: State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China
Ruisheng Shi: State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China
Junliang Chen: State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China

International Journal of Web Services Research (IJWSR), 2013, vol. 10, issue 3, 60-81

Abstract: In order to build a low-latency and light-weight publish/subscribe (pub/sub) system for delay-sensitive IOT services, the authors propose an efficient and scalable broker architecture named Grid Quorum-based pub/sub (GQPS). As a key component in Event-Driven Service-Oriented Architecture (EDSOA) for IOT services, this architecture organizes multiple pub/sub brokers into a Quorum-based peer-to-peer topology for efficient topic searching. It also leverages a topic searching algorithm and a one-hop caching strategy to minimize the search latency. Light-weight RESTful interfaces make the authors’ GQPS more suitable for IOT services. Cost analysis and experimental study demonstrate that the GQPS achieves a significant performance gain in search satisfaction without compromising search cost. The authors apply the proposed GQPS in the District Heating Control and Information Service System in Beijing, China. This system validates the effectiveness of GQPS.

Date: 2013
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