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A Service Discovery Solution for Edge Choreography-Based Distributed Embedded Systems.

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This study introduces a novel service discovery solution for Internet of Things (IoT) edge systems, enhancing choreography middleware with new messaging models. It improves hot plugging and load balancing for distributed embedded systems.

Keywords:
Internet of Thingsdiscoverydistributed embedded systemsedgefog computingmiddlewareregular expressionsservice choreography

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Area of Science:

  • Computer Science
  • Distributed Systems
  • Internet of Things (IoT)

Background:

  • Edge computing architectures in IoT systems often face challenges with service discovery and dynamic resource management.
  • Choreography-based distributed embedded systems require robust mechanisms for service integration and load balancing.

Purpose of the Study:

  • To develop and evaluate a service discovery solution for edge choreography-based distributed embedded systems.
  • To enhance IoT middleware compatibility with existing messaging protocols and support dynamic system changes.

Main Methods:

  • Implemented a broker service for service discovery supporting regular expressions (Regex) in message scope.
  • Integrated three message passing models into the choreography middleware.
  • Compared CPU usage and latency between request-response and data-centric configurations, and analyzed Regex impact on system resources.

Main Results:

  • The proposed solution facilitates blind hot plugging of new machines and aids in service load balancing.
  • Analysis of Regex interpreter latency and its impact on CPU and memory consumption was performed.
  • Performance was evaluated in both request-response and data-centric scenarios.

Conclusions:

  • The developed service discovery mechanism effectively supports dynamic service management in IoT edge environments.
  • The use of Regex in message scope offers a flexible approach for service matching in distributed systems.
  • The solution demonstrates potential for improving the efficiency and adaptability of edge choreography-based systems.