Methods and apparatus for controlling multi-layer communications networks

• US 20030179717A1
• Filed: 03/20/2003
• Published: 09/25/2003
• Est. Priority Date: 09/27/1999
• Status: Abandoned Application

• Current Assignee: Nortel Networks Limited (Nortel Networks Corporation)
• Original Assignee: Nortel Networks Limited (Nortel Networks Corporation)
• Inventors: Bell, John H., Hobbs, Christopher W. L.
• Application Number:
  US10/391,576
• Publication Number:
  US 20030179717A1
• Time in Patent Office: Days
• US Class Current: 370/254
• CPC Class Codes: H04L 41/0816 the condition being an adaptation, e.g. in response to network events
• CPC Class Codes: H04L 41/5003 Managing SLA; Interaction between SLA and QoS
• CPC Class Codes: H04L 41/5054 Automatic deployment of services triggered by the service manager, e.g. service implementation by automatic configuration of network components
• CPC Class Codes: H04L 41/5077 wherein the managed service relates to simple transport services, i.e. providing only network infrastructure
• CPC Class Codes: H04L 41/5087 wherein the managed service relates to voice services management of VoIP services H04M7/0081
• CPC Class Codes: H04L 67/62 Establishing a time schedule for servicing the requests
• CPC Class Codes: H04L 69/32 Architecture of open systems interconnection [OSI] 7-layer type protocol stacks, e.g. the interfaces between the data link level and the physical level
• CPC Class Codes: H04L 69/321 Interlayer communication protocols or service data unit [SDU] definitions; Interfaces between layers
• CPC Class Codes: H04L 9/40 Network security protocols

Abstract

In methods and apparatus for controlling multi-layer communications networks, data characterizing activity and state of the network and external demands made on the network by customer requests at at least two Layers is collected. The collected data are processed in accordance with a dynamic policy to determine that a reconfiguration of at least one Layer of the at least two Layers is favourable, and to determine a favoured reconfiguration of the at least one Layer. The collected data are processed in accordance with a dynamic policy to determine a favoured selection of customer demands on the network to be accepted. Implementation of the favoured reconfiguration and favoured admission is initiated. The resulting network behaviour is observed and the dynamic policy is adjusted to increase its ability to find favourable reconfiguration and call admission actions. The Layers may, for example, be a Layer 3 packet data service, such as Internet Protocol service, and layers below Layer 3 including one or more Layer 2 path-oriented service and one or more Layer 1 transport services. The reconfiguration of all Layers depends on information received from all Layers. Rapid reconfiguration of the Layer 2 and Layer 1 equipment and rapid decisions on the acceptance or rejection of customer demands based on data collected from all Layers reduces over-provisioning of the network needed to meet difficult-to-predict traffic patterns and loss of revenue due to inability to serve traffic with the current network configuration. A Fuzzy Logic control algorithm with policy tuning by temporal difference Reinforcement algorithms is described.

Claims

1. A controller for controlling a communications network providing services at least two Layers, the controller comprising:

a data collector operable to collect data characterizing demand and activity of the network at at least two Layers;

a reinforcement operable to determine a scalarReinforcement signal from the data characterizing the network at least two Layers;

a data processor operable to process the collected data to determine whether customer demands should be met and whether a reconfiguration of at least one Layer is favourable, and to determine a favoured reconfiguration of the at least one Layer; and

a reconfiguration initiator operable to initiate implementation of the favoured reconfiguration to initiate the acceptance or rejection of incoming customer demands.

2. A controller as defined in claim 1, wherein the reconfiguration initiator comprises a transmitter operable to transmit at least one signal to network elements of the at least one Layer to initiate implementation of the favoured reconfiguration.

3. A controller as defined in claim 1, wherein the data processor is operable to process one of the collected data collected as Crisp or Fuzzy Logic variables combining these if required according to a policy in the form of Fuzzy Logic rules, and the Reinforcement signal and the collected Fuzzy or Crisp variables to determine that a reconfiguration of at least one of the at least two Layers is favourable.

4. A controller as defined in claims 3, wherein the data processor is operable to process the the Reinforcement signal and the collected Fuzzy or Crisp variables to determine a favoured reconfiguration of the at least one of the at least two Layers.

5. A controller as defined in claims 3, wherein the reconfiguration initiator is operable to reconfigure the at least one of the at least two Layers.

6. A controller as defined in claims 3, wherein the data processor is operable to process the Reinforcement signal and the collected Fuzzy or Crisp variables to determine whether customer demands on resources at the at least two Layers should be met or rejected.

7. A controller as defined in claims 3, wherein the reconfiguration initiator is operable to instruct the one or more Layers of the network to accept or reject incoming customer demands for resources.

8. A controller as defined in claims 3, wherein the data processor is operable to modify its policy dynamically as a result of observing a Reinforcement ignal derived directly or indirectly from the network which indicates the quality of the reconfiguration and admission decisions previously made.

9. A controller as defined in claim 8 where the Reinforcement signal can assume two or more discrete values.

10. A controller as defined in claim 8, wherein the data processor is uses Reinforcement Learning techniques to process collected data collected as Crisp or Fuzzy Logic variables.

11. A controller as defined in claim 10, wherein the data processor uses Temporal Difference techniques to determine the policies to apply.

12. A controller as defined in claim 11, wherein the data processor uses a CMAC to store the derived policy.

13. A controller as defined in claims 3, wherein the Fuzzy Logic variables comprise variables selected from the group consisting of:

accepted traffic discarded in network;

traffic refused at ingress;

use of high cost links;

broken Service Level Agreements (SLAs);

traffic delivered beyond requirements of SLAs; and

cost or revenue loss attributable to any of;

accepted traffic discarded in network;

traffic refused at ingress;

use of high cost links;

broken Service Level Agreements (SLAs);

traffic delivered beyond requirements of SLAs;

traffic demands to establish a connection; and

traffic demands to deliver datagrams.

14. A controller as defined in claim 1, wherein the reconfiguration initiator is operable to initiate reconfiguration of links at one or more Layers selected from the group consisting of:

physical links of the network;

wavelength division multiplexing subchannels;

SONET/SDH paths;

virtual paths;

virtual channels; and

label switched paths.

15. A method for controlling a communications network supporting a packet data service, the communications network having an optical transport layer below a packet data layer, the method comprising:

collecting data characterising activity of the network and customer traffic demands at both the packet data layer and the optical transport layer;

processing the collected data to determine that a reconfiguration of the optical transport layer is favourable, and to determine a favoured reconfiguration of the optical transport layer;

initiating implementation of the favoured reconfiguration;

determining whether incoming customer demands at both the packet data and optical transport layer should be met; and

initiating acceptance or rejection of customer demands at both the packet data and optical transport layers.