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EnglishCloud and network analytics can harness the immense stream of operational data from clouds and networks, and can perform analytics processing to improve reliability, automated configuration, performance, and optimized network management in general. In this area, we have witnessed a growing trend towards using statistical analysis and machine learning techniques to improve operations and management of IT systems and networks.
Guest Editorial: Special Section on Advances in Big Data Analytics for Management / Casale, Giuliano; Diao, Yixin; Mellia, Marco; Ranjan, Rajiv; Zincir-Heywood, Nur. - In: IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT. - ISSN 1932-4537. - STAMPA. - 15:1(2018), pp. 10-12.
| Titolo: | Guest Editorial: Special Section on Advances in Big Data Analytics for Management |
| Autori: | |
| Data di pubblicazione: | 2018 |
| Rivista: | |
| Citazione: | Guest Editorial: Special Section on Advances in Big Data Analytics for Management / Casale, Giuliano; Diao, Yixin; Mellia, Marco; Ranjan, Rajiv; Zincir-Heywood, Nur. - In: IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT. - ISSN 1932-4537. - STAMPA. - 15:1(2018), pp. 10-12. |
| Abstract: | Cloud and network analytics can harness the immense stream of operational data from clouds and networks, and can perform analytics processing to improve reliability, automated configuration, performance, and optimized network management in general. In this area, we have witnessed a growing trend towards using statistical analysis and machine learning techniques to improve operations and management of IT systems and networks. |
| Handle: | http://hdl.handle.net/11583/2704776 |
| Appare nelle tipologie: | 1.7 Editoriale in rivista |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| 08310824.pdf | versione finale | 2. Post-print / Author's Accepted Manuscript | Non Pubblico - Accesso privato/ristretto | Administrator Richiedi una copia |
| guest-editorial-special.pdf | camera ready | 2. Post-print / Author's Accepted Manuscript | PUBBLICO - Tutti i diritti riservati | Visibile a tuttiVisualizza/Apri |
http://hdl.handle.net/11583/2704776
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