Invention Grant
US09473364B2 Learning machine-based granular segment/path characteristic probing technique
有权
学习基于机器的粒度段/路径特征探测技术
- Patent Title: Learning machine-based granular segment/path characteristic probing technique
- Patent Title (中): 学习基于机器的粒度段/路径特征探测技术
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Application No.: US14164544Application Date: 2014-01-27
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Publication No.: US09473364B2Publication Date: 2016-10-18
- Inventor: Jean-Philippe Vasseur , Sukrit Dasgupta , Grégory Mermoud , Jonathan W. Hui
- 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: Paker Ibrahim & Berg LLC
- Agent James M. Behmke; Stephen D. LeBarron
- Main IPC: H04L12/24
- IPC: H04L12/24 ; H04L12/805 ; H04W24/02 ; H04L12/751 ; H04L12/803 ; H04L12/26 ; H04W24/04 ; H04L12/721

Abstract:
In one embodiment, a routing topology of a network including nodes interconnected by communication links is determined. Important nodes in the network which are of relative importance are determined based on their location in the determined routing topology. Also, one or more request messages are sent causing the important nodes to gather local network metrics. Then, in response to the one or more request messages, one or more response messages including the network metrics gathered by each important node are received.
Public/Granted literature
- US20150195184A1 LEARNING MACHINE-BASED GRANULAR SEGMENT/PATH CHARACTERISTIC PROBING TECHNIQUE Public/Granted day:2015-07-09
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