MIRAI
Machine intelligence techniques for smart and sustainable planning and operation IoT and Edge computing applications
| Nº 069522 31 months (Dec 2020 to Jun 2023) | |
| Summary: | The standard approach of IoT applications when leveraging cloud infrastructure to address constraints at the level of end and edge nodes is no longer viable, especially for applications with hard real-time requirements and increasing AI usage. This project will develop MIRAI Framework Building Blocks (MFBB) based on AI techniques in order to enable the smart and sustainable planning and operation of IoT and edge computing applications. This will supplement the traditional vertical scaling approach to the cloud with the horizontal scaling of IoT and edge computing applications amongst edge devices. |
| Funding: | Global: 692KEUR, CISTER: 132KEUR |
| Partners: | |
| Contact Person at CISTER: | Pedro Miguel Santos |
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Conference or Workshop Papers/Talks
Towards a Distributed Learning Architecture for Securing ISP Home Customers CISTER-TR-210501
Pedro Miguel Santos, Joana Sousa, Ricardo Morla, Nuno Martins, João Tagaio, João Serra, Carlos Silva, Mário Sousa, Pedro Souto, Luis Lino Ferreira, Joao M.Ferreira, Luís Almeida25, Jun, 2021. Australia.
Pedro Miguel Santos, Joana Sousa, Ricardo Morla, Nuno Martins, João Tagaio, João Serra, Carlos Silva, Mário Sousa, Pedro Souto, Luis Lino Ferreira, Joao M.Ferreira, Luís Almeida25, Jun, 2021. Australia.
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