DISCOvering the heavy hitters with disaggregated sketches
| dc.contributor.author | Bruschi, V | |
| dc.contributor.author | Basat, RB | |
| dc.contributor.author | Liu, Z | |
| dc.contributor.author | Antichi, G | |
| dc.contributor.author | Bianchi, G | |
| dc.contributor.author | Mitzenmacher, M | |
| dc.date.accessioned | 2021-06-01T14:15:58Z | |
| dc.date.available | 2021-06-01T14:15:58Z | |
| dc.date.issued | 2020-11-23 | |
| dc.identifier.isbn | 9781450379489 | |
| dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/72190 | |
| dc.description.abstract | We propose DISCO - a lightweight approach to flow monitoring in the data plane. The idea is to disaggregate the computation of a single (logically) centralized sketch into multiple small "sketch fragments"that are distributed across the flows' paths. This allows use less resources at switches without trading on telemetry capabilities. | en_US |
| dc.format.extent | 536 - 537 | |
| dc.title | DISCOvering the heavy hitters with disaggregated sketches | en_US |
| dc.type | Conference Proceeding | en_US |
| dc.identifier.doi | 10.1145/3386367.3431674 | |
| pubs.notes | Not known | en_US |
| pubs.publication-status | Published | en_US |
