Invention Grant
US09426040B2 Mixed distributed/centralized routing techniques based on closed-loop feedback from a learning machine to avoid dark zones
有权
基于来自学习机器的闭环反馈的混合分布式/集中式路由技术，以避免暗区
- Patent Title: Mixed distributed/centralized routing techniques based on closed-loop feedback from a learning machine to avoid dark zones
- Patent Title (中): 基于来自学习机器的闭环反馈的混合分布式/集中式路由技术，以避免暗区
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Application No.: US14164469Application Date: 2014-01-27
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Publication No.: US09426040B2Publication Date: 2016-08-23
- 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: H04L12/24
- 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, and activity in the network is monitored to determine a normal behavior of the communication links. Weak communication links in the network that deviate from the determined normal behavior are detected, and it is then determined whether the weak communication links are spatially correlated based on the determined topology of the network. In response to the weak communication links being spatially correlated, a region of the network affected by the weak communication links is identified as a dark zone that is to be avoided when routing data packets in the network.
Public/Granted literature
Information query
