STEM CELL GRID

• US 20140283079A1
• Filed: 03/17/2014
• Published: 09/18/2014
• Est. Priority Date: 03/15/2013
• Status: Abandoned Application

• Current Assignee: Remtcs Inc.
• Original Assignee: Remtcs Inc.
• Inventors: Xaypanya, Tommy, Malinowski, Richard E.
• Application Number:
  US14/216,634
• Publication Number:
  US 20140283079A1
• Time in Patent Office: Days
• US Class Current: 726/24
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 3/02 Neural networks
• CPC Class Codes: G06N 3/08 Learning methods
• CPC Class Codes: H04L 41/0659 by isolating or reconfiguring faulty entities
• CPC Class Codes: H04L 41/145 involving simulating, designing, planning or modelling of a network
• CPC Class Codes: H04L 41/16 using machine learning or artificial intelligence
• CPC Class Codes: H04L 63/1408 by monitoring network traffic monitoring network traffic per se H04L43/00
• CPC Class Codes: H04L 63/145 the attack involving the propagation of malware through the network, e.g. viruses, trojans or worms

Abstract

A stem cell grid is disclosed. The stem cell grid includes the ability to incorporate characteristics of a stem cell into a network device. In the event that the network device fails or otherwise becomes unavailable for use by other network devices, the network device is automatically replicated within a virtualized environment and then the replica of the network device is used instead of the failed and/or unavailable network device.

Claims

1. A method, comprising:

determining at least one of a cellular function and characteristic of a stem cell; and

incorporating the determined at least one of a cellular function and characteristic into a networking product, thereby enabling the networking product to be automatically replicated.

2. The method of claim 1, wherein the determined at least one of a cellular function and characteristic comprises at least one of cellular growth data, cell dividing characteristics, and cellular duplication algorithms.

3. The method of claim 1, wherein the networking product is configured to be automatically replicated within a virtualized environment.

4. The method of claim 1, wherein the network product is automatically replicated in response to detecting at least one of a failure and loss of power at the network product.

5. The method of claim 1, further comprising:

determining that the network product is under attack or has been attacked by at least one of a computer virus and malware;

quarantining the network product; and

replicating the network product with the stem cell information.

6. The method of claim 5, further comprising:

obtaining information about the network product from a snapshot taken of the network prior to the attack on the network device; and

using the information obtained from the snapshot to replicate the network device in a virtualized environment.

7. The method of claim 6, wherein the virtualized environment comprises a virtual machine hypervisor.

8. A non-transitory computer-readable medium comprising processor-executable instructions that, when executed by a processor, perform a method, the method comprising:

determining at least one of a cellular function and characteristic of a stem cell; and

incorporating the determined at least one of a cellular function and characteristic into a networking product, thereby enabling the networking product to be automatically replicated.

9. The computer-readable medium of claim 8, wherein the determined at least one of a cellular function and characteristic comprises at least one of cellular growth data, cell dividing characteristics, and cellular duplication algorithms.

10. The computer-readable medium of claim 8, wherein the networking product is configured to be automatically replicated within a virtualized environment.

11. The computer-readable medium of claim 8, wherein the network product is automatically replicated in response to detecting at least one of a failure and loss of power at the network product.

12. The computer-readable medium of claim 8, wherein the method further comprises:

determining that the network product is under attack or has been attacked by at least one of a computer virus and malware;

quarantining the network product; and

replicating the network product with the stem cell information.

13. The computer-readable medium of claim 12, wherein the method further comprises:

obtaining information about the network product from a snapshot taken of the network prior to the attack on the network device; and

using the information obtained from the snapshot to replicate the network device in a virtualized environment.

14. The computer-readable medium of claim 13, wherein the virtualized environment comprises a virtual machine hypervisor.

15. A computational system, comprising:

a memory including instructions that, when executed by a microprocessor, perform the following;

determining at least one of a cellular function and characteristic of a stem cell; and

incorporating the determined at least one of a cellular function and characteristic into a networking product, thereby enabling the networking product to be automatically replicated.

a microprocessor configured to execute the instructions stored in the memory.

16. The computational system of claim 15, wherein the determined at least one of a cellular function and characteristic comprises at least one of cellular growth data, cell dividing characteristics, and cellular duplication algorithms.

17. The computational system of claim 15, wherein the networking product is configured to be automatically replicated within a virtualized environment.

18. The computational system of claim 15, wherein the network product is automatically replicated in response to detecting at least one of a failure and loss of power at the network product.

19. The computational system of claim 15, wherein the instructions, when executed by the microprocessor, further perform the following:

determining that the network product is under attack or has been attacked by at least one of a computer virus and malware;

quarantining the network product; and

replicating the network product with the stem cell information.

20. The computational system of claim 19, wherein the instructions, when executed by the microprocessor, further perform the following:

obtaining information about the network product from a snapshot taken of the network prior to the attack on the network device; and

using the information obtained from the snapshot to replicate the network device in a virtualized environment.