[HTML][HTML] Attention-based model and deep reinforcement learning for distribution of event processing tasks
Event processing is the cornerstone of the dynamic and responsive Internet of Things (IoT).
Recent approaches in this area are based on representational state transfer (REST)
principles, which allow event processing tasks to be placed at any device that follows the
same principles. However, the tasks should be properly distributed among edge devices to
ensure fair resources utilization and guarantee seamless execution. This article investigates
the use of deep learning to fairly distribute the tasks. An attention-based neural network …
Recent approaches in this area are based on representational state transfer (REST)
principles, which allow event processing tasks to be placed at any device that follows the
same principles. However, the tasks should be properly distributed among edge devices to
ensure fair resources utilization and guarantee seamless execution. This article investigates
the use of deep learning to fairly distribute the tasks. An attention-based neural network …
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