Invention Grant
- Patent Title: Learning machine based computation of network join times
- Patent Title (中): 基于学习机的网络连接时间计算
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Application No.: US13948367Application Date: 2013-07-23
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Publication No.: US09553773B2Publication Date: 2017-01-24
- 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: G06F15/173
- IPC: G06F15/173 ; H04L12/24

Abstract:
In one embodiment, techniques are shown and described relating to learning machine based computation of network join times. In particular, in one embodiment, a device computes a join time of the device to join a computer network. During joining, the device sends a configuration request to a server, and receives instructions whether to provide the join time. The device may then provide the join time to a collector in response to instructions to provide the join time. In another embodiment, a collector receives a plurality of join times from a respective plurality of nodes having one or more associated node properties. The collector may then estimate a mapping between the join times and the node properties and determines a confidence interval of the mapping. Accordingly, the collector may then determine a rate at which nodes having particular node properties report their join times based on the confidence interval.
Public/Granted literature
- US20140222975A1 LEARNING MACHINE BASED COMPUTATION OF NETWORK JOIN TIMES Public/Granted day:2014-08-07
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