DISCOvering the heavy hitters with disaggregated sketches
DISCOvering the heavy hitters with disaggregated sketches
复制标题
通过分类草图发现重量级人物
DOI：
10.1145/3386367.3431674
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Bruschi V
中科院分区：
文献类型：
--
作者：
Bruschi V
我们提出了DISCO-一种在数据平面上进行流量监控的轻量级方法。其想法是将单个(逻辑上)集中的草图的计算分解成多个小的“草图碎片”，这些“草图碎片”分布在流的路径上。这允许在不利用遥测功能的情况下在交换机上使用更少的资源。
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.