Name
Title | ||
|---|---|---|
DarkTE: Towards Dark Traffic Engineering in Data Center Networks with Ensemble Learning |
Abstract | ||
|---|---|---|
Over the last decade, traffic engineering (TE) has always been a research hotspot in data center networks. For routing flows efficiently and practically, existing TE schemes explore experience-driven heuristics or machine learning (ML) techniques to predict/identify network flows’ size information. However, these TE schemes have significant limitations: they either identify the flow size informati... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/IWQOS52092.2021.9521298 | 2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS) |
DocType | ISSN | ISBN |
Conference | 1548-615X | 978-1-6654-1494-4 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||