Javanmardi, Saeed (2022) Resource scheduling approaches for performance optimization in iot-fog networks. [Tesi di dottorato]
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| Item Type: | Tesi di dottorato |
|---|---|
| Resource language: | English |
| Title: | Resource scheduling approaches for performance optimization in iot-fog networks |
| Creators: | Creators Email Javanmardi, Saeed saeed.javanmardi@unina.it |
| Date: | 17 March 2022 |
| Number of Pages: | 156 |
| Institution: | Università degli Studi di Napoli Federico II |
| Department: | Ingegneria Elettrica e delle Tecnologie dell'Informazione |
| Dottorato: | Information technology and electrical engineering |
| Ciclo di dottorato: | 34 |
| Coordinatore del Corso di dottorato: | nome email Riccio, Daniele daniele.riccio@unina.it |
| Tutor: | nome email Pescape, Antonio UNSPECIFIED |
| Date: | 17 March 2022 |
| Number of Pages: | 156 |
| Keywords: | IoT SDN Fog security Efficiency |
| Settori scientifico-disciplinari del MIUR: | Area 01 - Scienze matematiche e informatiche > INF/01 - Informatica |
| Date Deposited: | 10 Jun 2022 07:40 |
| Last Modified: | 28 Feb 2024 11:02 |
| URI: | http://www.fedoa.unina.it/id/eprint/14404 |
Collection description
The Internet of Things (IoT) has emerged as one of the most notable technologies in recent years for facilitating new interactions between matters and humans in order to improve the quality of life. Because of the rapid growth of IoT, the fog computing paradigm is emerging as an appealing method for processing data from IoT networks. IoT networks run on intermediate computing nodes within the fog, as well as real servers in cloud data centers within the fog environment.
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