Systems and methods to compute carbon footprint of network services with network function virtualization (NFV) and software defined networking (SDN)

Patent metadata

Field	Value
Publication number	US-9614743-B2
Application number	US-201414464186-A
Country	US
Kind code	B2
Filing date	Aug 20, 2014
Priority date	Aug 20, 2014
Publication date	Apr 4, 2017
Grant date	Apr 4, 2017

Abstract

A method, through a server, to determine carbon footprint of a network service, in a network, includes determining power consumption and cooling requirements of network devices associated with the network service; determining associated carbon footprint coefficients for power sources associated with each of the network devices; and determining carbon footprint of the network service based on the power consumption, the cooling requirements, and the associated carbon footprint coefficients.

First claim

What is claimed is:

1. A method, through a server, to determine carbon footprint of a network service, in a network, the method comprising:
determining power consumption and cooling requirements of network devices associated with the network service;
determining associated carbon footprint coefficients for power sources associated with each of the network devices;
determining carbon footprint of the network service based on the power consumption, the cooling requirements, and the associated carbon footprint coefficients; and
utilizing the carbon footprint as a routing parameter for the network service in the network,
wherein the power consumption and the cooling requirements of the network devices are determined for all equipment at each of the network devices and apportioned to the network service based on how much the network service uses each of the network devices, wherein, for apportionment, the power consumption and the cooling requirements of the network devices for the network service is divided by a total number of services thereon.

2. The method of claim 1 , wherein the power consumption and the cooling requirements of the network devices are determined based on current inventory of modules at each of the network devices.

3. The method of claim 1 , wherein the network devices include L 0 , L 1 , and L 2 components in a multi-layer network and a plurality of servers operating Virtual Machines, and wherein the network service is at L 0 , L 1 , and L 2 over the multi-layer network and one or more of the Virtual Machines.

4. The method of claim 1 , further comprising:
operating a hypervisor to manage Network Function Virtualization through one or more Virtual Machines associated with the network service.

5. The method of claim 4 , further comprising:
relocating the one or more Virtual Machines based on determining a reduced carbon footprint.

6. The method of claim 1 , wherein the server is a Software Defined Networking controller.

7. A server configured to determine carbon footprint of a network service, in a network, the server comprising:
a network interface, a processor, and a data store, each communicatively coupled to one another; and
memory storing computer-executable instructions that, when executed, cause the processor to
determine power consumption and cooling requirements of network devices associated with the network service,
determine associated carbon footprint coefficients for power sources associated with each of the network devices,
determine carbon footprint of the network service based on the power consumption, the cooling requirements, and the associated carbon footprint coefficients, and
utilize the carbon footprint as a routing parameter for the network service in the network,

wherein the power consumption and the cooling requirements of the network devices are determined for all equipment at each of the network devices and apportioned to the network service based on how much the network service uses each of the network devices, wherein, for apportionment, the power consumption and the cooling requirements of the network devices for the network service is divided by a total number of services thereon.

8. The server of claim 7 , wherein the power consumption and the cooling requirements of the network devices are determined based on current inventory of modules at each of the network devices.

9. The server of claim 7 , wherein the network devices include L 0 , L 1 , and L 2 components in a multi-layer network and a plurality of servers operating Virtual Machines, and wherein the network service is at L 0 , L 1 , and L 2 over the multi-layer network and one or more of the Virtual Machines.

10. The server of claim 7 , wherein the memory storing computer-executable instructions that, when executed, further cause the processor to
operate a hypervisor to manage Network Function Virtualization through one or more Virtual Machines associated with the network service.

11. The server of claim 10 , wherein the memory storing computer-executable instructions that, when executed, further cause the processor to
cause relocation of the one or more Virtual Machines based on determining a reduced carbon footprint.

12. The server of claim 7 , wherein the server is a Software Defined Networking controller.

13. A network configured to provide a network service, the network comprising:
a plurality of interconnected network devices; and
a controller comprising a network interface, a processor, and a data store, each communicatively coupled to one another, and memory storing computer-executable instructions that, when executed, cause the processor to
determine power consumption and cooling requirements of network devices associated with the network service,
determine associated carbon footprint coefficients for power sources associated with each of the network devices,
determine carbon footprint of the network service based on the power consumption, the cooling requirements, and the associated carbon footprint coefficients, and
utilize the carbon footprint as a routing parameter for the network service in the network,

wherein the power consumption and the cooling requirements of the network devices are determined for all equipment at each of the network devices and apportioned to the network service based on how much the network service uses each of the network devices, wherein, for apportionment, the power consumption and the cooling requirements of the network devices for the network service is divided by a total number of services thereon.

14. The network of claim 13 , wherein the power consumption and the cooling requirements of the network devices are determined based on current inventory of modules at each of the network devices.

15. The network of claim 13 , wherein the network devices include L 0 , L 1 , and L 2 components in a multi-layer network and a plurality of servers operating Virtual Machines, and wherein the network service is at L 0 , L 1 , and L 2 over the multi-layer network and one or more of the Virtual Machines.

16. The network of claim 13 , wherein the memory storing computer-executable instructions that, when executed, further cause the processor to
operate a hypervisor to manage Network Function Virtualization through one or more Virtual Machines associated with the network service.

17. The network of claim 16 , wherein the memory storing computer-executable instructions that, when executed, further cause the processor to cause relocation of the one or more Virtual Machines based on determining a reduced carbon footprint.

Assignees

• Htay Aung
• Hudgins Paul
• Kore Mallikarjunappa
• Ciena Corp

Inventors

• Htay Aung
• Hudgins Paul
• Kore Mallikarjunappa

Classifications

• H04L43/08

  Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters · CPC title

• G06F9/45558 Primary

  Hypervisor-specific management and integration aspects · CPC title

• G06F9/5027

  the resource being a machine, e.g. CPUs, Servers, Terminals · CPC title

• G06F11/3055

  Monitoring arrangements for monitoring the status of the computing system or of the computing system component, e.g. monitoring if the computing system is on, off, available, not available (error or fault processing without redundancy G06F11/0703; error detection or correction by redundancy in data representation G06F11/08; error detection or correction of the data by redundancy in operations G06F11/14; error detection or correction by redundancy in hardware G06F11/16) · CPC title

• G06F2009/4557

  Distribution of virtual machine instances; Migration and load balancing · CPC title