Integrating Machine Learning Techniques to Adapt Protocols for QoS-enabled Distributed Real-time and Embedded Publish/Subscribe Middleware

@article{Hoffert2010IntegratingML,
  title={Integrating Machine Learning Techniques to Adapt Protocols for QoS-enabled Distributed Real-time and Embedded Publish/Subscribe Middleware},
  author={Joe Hoffert and Daniel L. C. Mack and Douglas C. Schmidt},
  journal={Network Protocols & Algorithms},
  year={2010},
  volume={2},
  pages={37-69}
}
Quality-of-service (QoS)-enabled publish/subscribe (pub/sub) middleware provides the infrastructure needed to disseminate data predictably, reliably, and scalably in distributed real-time and embedded (DRE) systems. Maintaining QoS properties as the operating environment fluctuates is challenging, however, since the chosen mechanism (e.g., transport protocol or caching algorithm for data persistence) may no longer provide the needed QoS. Moreover, some adaptation approaches are tailored for… CONTINUE READING

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