Invention Grant
US09338065B2 Predictive learning machine-based approach to detect traffic outside of service level agreements
有权
以预测学习机为基础的方法来检测服务水平协议之外的流量
- Patent Title: Predictive learning machine-based approach to detect traffic outside of service level agreements
- Patent Title (中): 以预测学习机为基础的方法来检测服务水平协议之外的流量
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Application No.: US14164425Application Date: 2014-01-27
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Publication No.: US09338065B2Publication Date: 2016-05-10
- Inventor: Jean-Philippe Vasseur , Grégory Mermoud , Sukrit Dasgupta
- Applicant: Cisco Technology, Inc.
- Applicant Address: US CA San Jose
- Assignee: Cisco Technology, Inc.
- Current Assignee: Cisco Technology, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Parker Ibrahim & Berg LLC
- Agent James M. Behmke; Stephen D. LeBarron
- Main IPC: H04L12/26
- IPC: H04L12/26 ; H04L12/24 ; H04L12/851 ; G06N7/00 ; G06N99/00 ; G06Q10/04
Abstract:
In one embodiment, a request to make a prediction regarding one or more service level agreements (SLAs) in a network is received. A network traffic parameter and an SLA requirement associated with the network traffic parameter according to the one or more SLAs are also determined. In addition, a performance metric associated with traffic in the network that corresponds to the determined network traffic parameter is estimated. It may then be predicted whether the SLA requirement would be satisfied based on the estimated performance metric.
Public/Granted literature
- US20150195149A1 PREDICTIVE LEARNING MACHINE-BASED APPROACH TO DETECT TRAFFIC OUTSIDE OF SERVICE LEVEL AGREEMENTS Public/Granted day:2015-07-09
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