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 task...

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Bibliographic Details
Main Author: Mazayev, Andriy (author)
Other Authors: Al-Tam, Faroq (author), Correia, Noélia (author)
Format: article
Language:eng
Published: 2022
Subjects:
Web of Things (WoT)
Representational state transfer (REST)
Application programming interface (APIs)
Edge computing
Load balancing
Resource placement
Deep reinforcement leaning
Transformer model
Pointer networks
Actor critic
Online Access:http://hdl.handle.net/10400.1/18589
Country:Portugal
Oai:oai:sapientia.ualg.pt:10400.1/18589

Internet

http://hdl.handle.net/10400.1/18589

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