System and method for management of cloud-based systems

• US 10,033,649 B2
• Filed: 09/29/2015
• Issued: 07/24/2018
• Est. Priority Date: 02/06/2012
• Status: Active Grant

• Current Assignee: Alcatel-Lucent USA, Inc. (Nokia Corporation)
• Original Assignee: Alcatel-Lucent USA, Inc. (Nokia Corporation)
• Inventors: Eggleston, Joseph E., Labovitz, Craig H.
• Primary Examiner(s): Nano, Sargon
• Application Number:
  US14/869,423
• Publication Number:
  US 20160020964A1
• Time in Patent Office: 1,029 Days
• CPC Class Codes: H04L 41/00 Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
• CPC Class Codes: H04L 41/12 Discovery or management of network topologies
• CPC Class Codes: H04L 41/40 using virtualisation of network functions or resources, e.g. SDN or NFV entities
• CPC Class Codes: H04L 41/5009 Determining service level performance parameters or violations of service level contracts, e.g. violations of agreed response time or mean time between failures [MTBF]
• CPC Class Codes: H04L 41/508 based on type of value added network service under agreement
• CPC Class Codes: H04L 43/026 using flow identification
• CPC Class Codes: H04L 43/062 related to network traffic
• CPC Class Codes: H04L 43/0882 Utilisation of link capacity
• CPC Class Codes: H04L 47/10 Flow control; Congestion control
• CPC Class Codes: H04L 47/2441 relying on flow classification, e.g. using integrated services [IntServ]
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46

Abstract

System and method for reporting usage of a network infrastructure includes obtaining a map that includes at least one flow-mapping that correlates a flow feature with a service and that correlates a flow feature with an endpoint type, wherein the endpoint types include at least a subscriber type and a service type; at a first computer, receiving flow telemetry of a network infrastructure, the flow telemetry representing at least the destination and source attributes for network traffic in the flow telemetry; categorizing the flow telemetry into at least a subscriber flow category based on the source and destination endpoint types of the traffic; for subscriber flow telemetry of a subscriber, processing the subscriber flow telemetry into at least one flow feature; identifying at least one service to attribute to at least a portion of the subscriber flow telemetry, the service identified through the processed flow feature and a flow-mapping.

Claims

1. A method for analyzing network usage in a cloud-based communications system, the method comprising:

receiving network information from one or more networking devices in the cloud-based communications system;

compiling a map based on the received network information, wherein the map characterizes relationships between one or more components and one or more entities of the cloud-based communications system, the one or more entities comprising a service, and compiling the map comprises;

retrieving one or more component addresses associated with the service,

mapping the one or more component addresses as flow features correlated to the service,

storing, in a database, at least one flow-mapping that correlates the flow features to the service, and

at a first client, automating traffic of a first service, mapping service components identified in traffic of the first client as first flow features correlated to the first service, and storing a first flow-mapping that correlates the first flow features to the first service in the database;

determining services that correspond to a network address from network telemetry and setting a flow feature for the services that correspond to the network address;

collecting real-time flow telemetry associated with the one or more networking devices;

processing the flow telemetry in real-time comprising identifying component usage patterns correlated with the service based on the at least one flow-mapping; and

deriving service traffic breakdown of the flow telemetry based on the identified component usage patterns correlated with the service.

2. The method of claim 1, wherein the one or more entities comprises a subscriber, and compiling the map further comprises, determining subscriber addresses and mapping the subscriber addresses as flow features correlated to the subscriber.

3. The method of claim 2, wherein compiling the map further comprises, determining services that correspond to an Internet protocol (IP) address from domain name service (DNS) network telemetry and setting a flow feature for the services that correspond to the IP address.

4. The method of claim 3, further comprising categorizing the flow telemetry into at least a subscriber flow telemetry, wherein processing the flow telemetry comprises identifying the component usage patterns associated with the subscriber flow telemetry of each subscriber.

5. The method of claim 1, wherein the component usage patterns comprises one or more of the following:

an ordering or temporal usage of one or more components associated with the service and proportional use of the one or more components associated with the service.

6. The method of claim 1, wherein compiling the map further comprises at a second client with differing network locality compared to the first client, simulating traffic of the first service, mapping service components identified in traffic of the second client as second flow features correlated to the first service, and storing a second flow-mapping that correlates the second flow features to the first service in the database.

7. The method of claim 6, wherein the second client is simulated through a virtual private network connection.

8. The method of claim 1, further comprising:

rendering data associated with the service traffic breakdown via a graphical user interface.

9. A system comprising:

one or more computers including one or more processors, the one or more processors programmed to perform operations comprising;

receiving network information from one or more networking devices in a cloud-based communications system;

compiling a map based on the received network information, wherein the map characterizes relationships between one or more components and one or more entities of the cloud-based communications system, the one or more entities comprising a service, and compiling the map comprises;

retrieving one or more component addresses associated with the service, mapping the one or more component addresses as flow features correlated to the service,

storing, in a database, at least one flow-mapping that correlates the flow features to the service, and

at a first client, automating traffic of a first service, mapping service components identified in traffic of the first client as first flow features correlated to the first service, and storing a first flow-mapping that correlates the first flow features to the first service in the database;

determining services that correspond to a network address from network telemetry and setting a flow feature for the services that correspond to the network address;

collecting real-time flow telemetry associated with the one or more networking devices;

processing the flow telemetry in real-time comprising identifying component usage patterns correlated with the service based on the at least one flow-mapping; and

deriving service traffic breakdown of the flow telemetry based on the identified component usage patterns correlated with the service.

10. The system of claim 9, wherein the one or more entities comprises a subscriber, and compiling the map further comprises, determining subscriber addresses and mapping the subscriber addresses as flow features correlated to the subscriber.

11. The system of claim 10, wherein compiling the map further comprises, determining services that correspond to an Internet protocol (IP) address from domain name service (DNS) network telemetry and setting a flow feature for the services that correspond to the IP address.

12. The system of claim 11, further comprising categorizing the flow telemetry into at least a subscriber flow telemetry, wherein processing the flow telemetry comprises identifying the component usage patterns associated with the subscriber flow telemetry of each subscriber.

13. The system of claim 9, wherein the component usage patterns comprises one or more of the following:

an ordering or temporal usage of one or more components associated with the service and proportional use of the one or more components associated with the service.

14. The system of claim 9, further comprising at a second client with differing network locality compared to the first client, simulating traffic of the first service, mapping service components identified in traffic of the second client as second flow features correlated to the first service, and storing a second flow-mapping that correlates the second flow features to the first service in the database.

15. The system of claim 14, wherein the second client is simulated through a virtual private network connection.

16. At least one non-transitory computer-readable storage medium comprising computer-executable instructions, that, when executed by a computing system, perform a method comprising:

receiving network information from one or more networking devices in a cloud-based communications system;

compiling a map based on the received network information, wherein the map characterizes relationships between one or more components and one or more entities of the cloud-based communications system, the one or more entities comprising a service, and compiling the map comprises;

retrieving one or more component addresses associated with the service,

mapping the one or more component addresses as flow features correlated to the service,

storing, in a database, at least one flow-mapping that correlates the flow features to the service, and

at a first client, automating traffic of a first service, mapping service components identified in traffic of the first client as first flow features correlated to the first service, and storing a first flow-mapping that correlates the first flow features to the first service in the database;

determining services that correspond to a network address from network telemetry and setting a flow feature for the services that correspond to the network address

collecting real-time flow telemetry associated with the one or more networking devices;

processing the flow telemetry in real-time comprising identifying component usage patterns correlated with the service based on the at least one flow-mapping; and

deriving service traffic breakdown of the flow telemetry based on the identified component usage patterns correlated with the service.

17. The at least one non-transitory computer-readable storage medium of claim 16, wherein the component usage patterns comprises an ordering or temporal usage of one or more components associated with the service.

18. The at least one non-transitory computer-readable storage medium of claim 16, wherein the component usage patterns comprises proportional use of the one or more components associated with the service.

19. The at least one non-transitory computer-readable storage medium of claim 16, wherein compiling the map further comprises at a second client with differing network locality compared to the first client, simulating traffic of the first service, mapping service components identified in traffic of the second client as second flow features correlated to the first service, and storing a second flow-mapping that correlates the second flow features to the first service in the database.

20. The at least one non-transitory computer-readable storage medium of claim 16, wherein the second client is simulated through a virtual private network connection.