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Efficient Solution for Large-Scale IoT Applications with Proactive Edge-Cloud Publish/Subscribe Brokers Clustering.

Van-Nam Pham1, Ga-Won Lee1, VanDung Nguyen1

  • 1Department of Computer Science and Engineering, Kyung Hee University, Yongin-si 17104, Korea.

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Summary

This study introduces an Edge-Cloud publish/subscribe model for large-scale Internet of Things (IoT) systems. It significantly reduces data delivery latency and relay traffic for delay-sensitive applications.

Keywords:
Internet of Thingsbroker overlaysdistributed publish/subscribe systemsimplicit collaborative filteringtopic similaritytopic subscription predictiontopic-based publish/subscribe

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Area of Science:

  • Computer Science
  • Networking
  • Distributed Systems

Background:

  • Large-scale Internet of Things (IoT) applications generate massive data volumes from geo-distributed devices.
  • Designing communication systems for low latency and high scalability in IoT is challenging.

Purpose of the Study:

  • To investigate a hierarchical Edge-Cloud publish/subscribe brokers model for efficient event notification delivery.
  • To reduce data delivery latency and relay traffic in wide-scale IoT systems.

Main Methods:

  • Implemented a two-tier routing scheme within the Edge-Cloud model.
  • Utilized collaborative filtering for proactive clustering of geographically proximate edge brokers with similar topics.
  • Devised a coordinative scheme for brokers to discover and bridge similar topic channels.

Main Results:

  • The proposed model significantly reduces data delivery latency.
  • Achieved approximately 7.77% less relay traffic among brokers compared to other Edge-Cloud approaches.
  • Demonstrated high scalability for large-scale, delay-sensitive IoT applications.

Conclusions:

  • The hierarchical Edge-Cloud publish/subscribe model effectively addresses challenges in large-scale IoT data delivery.
  • The proactive clustering and coordinative schemes enhance efficiency and reduce latency.
  • The model proves adept at supporting delay-sensitive IoT applications.