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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| Outros Autores: | , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2022
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| Texto completo: | http://hdl.handle.net/10400.1/18589 |
| País: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/18589 |