公开(公告)号：US08903995B1

公开(公告)日：2014-12-02

申请号：US13553741

申请日：2012-07-19

Applicant: Jayanta Basak ,  Vipul Mathur ,  Siddhartha Nandi ,  Srinivasan Narayanamurthy ,  Kaladhar Voruganti

Inventor： Jayanta Basak ,  Vipul Mathur ,  Siddhartha Nandi ,  Srinivasan Narayanamurthy ,  Kaladhar Voruganti

IPC: G06F15/16

CPC classification number: G06Q10/06 ,  H04L41/0636 ,  H04L43/08

Abstract: A network server analyzes a change in the network, including performing a machine-learning analysis of an extrapolation space. The server accesses observed data from multiple counters that each record samples for a metric in the network. The server performs a CART (classification and regression tree) analysis of the observed data to select the counters whose metrics affect a target network performance, such as latency. The server estimates an extrapolation space based on the observed data for the selected counters. The server then performs a machine-learning analysis of the extrapolation space based on a kriging model of the selected counters.

Abstract translation: 网络服务器分析网络中的变化，包括执行外推空间的机器学习分析。 服务器访问来自多个计数器的观测数据，每个记录对网络中的度量进行记录采样。 服务器对观察到的数据执行CART（分类和回归树）分析，以选择其度量影响目标网络性能的计数器，例如延迟。 服务器根据所选计数器的观察数据估计外推空间。 然后，服务器基于所选计数器的克里金模型对外推空间进行机器学习分析。