DISTRIBUTED ARCHITECTURE AND ASSOCIATED PROTOCOLS FOR EFFICIENT QUALITY OF SERVICE-BASED ROUTE COMPUTATION

Patent №

US 6,597,684

Granted

2003-07-22

Filed 1997

Owner

NORTHERN TELECOM LIMITED

Lab

AI components

1

hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

08998223

In a packet switching network, a distributed architecture provides efficient computation of routes in Quality of Service (QoS)-based routing scenarios. Using a client-server model, only designated route servers store and maintain a database containing the entire network topology, so that each network node is not required to store and maintain the network topology. Client nodes maintain a cache containing pre-computed routes so that they can often make routing decisions autonomously. A client contacts a designated route server only when the client cannot obtain from its local cache a route to a given destination that meets the performance requirements. A client cache may contain pre-computed routes with designated QoS profiles to all destinations or to a subset of destinations. Route servers may also contain caches, which may contain pre-computed routes to all destinations in the network with all QoS profiles, or may contain only a subset of such routes.Each client node may also be provided with intelligence to learn, maintain and adapt local information based on the statistical usage of the network. Client caches may learn statically, i.e, the cache contains routes based on a QoS profile provided by the network service provider, or they may learn dynamically, i.e., routes are modified based on ongoing network usage statistics. The goal is to minimize the need to contact the route server as much as possible. Protocols are defined to maintain synchronization between the route server and its clients distributed across the network. These protocols need to be observed to ensure that all nodes have the latest view of the network topology stored at the route server.

AI hardwareH04L 47/822H04L 47/70H04L 47/783H04L 47/805H04L 47/826H04L 47/829H04Q 11/0478H04L 2012/562+3 more

AI classification

AI hardware0.99
Planning0.28
Knowledge representation0.11
Machine learning0.01
Natural language0.01
Vision0.00
Speech0.00
Evolutionary computation0.00

Ownership

NORTHERN TELECOM LIMITED

assignment · 101400650

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