Orchestration system for migrating user data and services based on user information

• US 10,523,592 B2
• Filed: 10/10/2016
• Issued: 12/31/2019
• Est. Priority Date: 10/10/2016
• Status: Active Grant

• Current Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Original Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Inventors: Byers, Charles Calvin, Salgueiro, Gonzalo, Clarke, Joseph Michael, Arunachalam, Chidambaram, Nainar, Nagendra Kumar, Poupko, Avraham
• Primary Examiner(s): Dollinger, Tonia L
• Assistant Examiner(s): Cooney, Adam A
• Application Number:
  US15/289,755
• Publication Number:
  US 20180102985A1
• Time in Patent Office: 1,177 Days
• Field of Search: 709225
• CPC Class Codes: G06F 16/119 Details of migration of file systems migration mechanisms in storage systems G06F3/0647
• CPC Class Codes: H04L 47/80 Actions related to the user profile or the type of traffic
• CPC Class Codes: H04L 47/83 based on usage prediction

Abstract

Systems, methods, and computer-readable media for orchestrating data center resources and user access to data. In some examples, a system can determine, at a first time, that a user will need, at a second time, access to data stored at a first location, from a second location. The system can identify a node which is capable of storing the data and accessible by a device from the second location. The system can also determine a first service parameter associated with a network connection between the device and the first location and a second service parameter associated with a network connection between the device and the node. When the second service parameter has a higher quality than the first service parameter, the system can migrate the data from the first location to the node so the device has access to the data from the second location through the node.

Claims

1. A method comprising:

predicting, at a first time, that a user will need, at a second time, access to data stored at a first location, from a second location, the predicting including that the user will be at the second location at the second time, the predicting based on a schedule or calendar associated with the user and data or network preferences associated with the user;

identifying a network node capable of storing the data and accessible by a computing device from the second location;

determining a first service parameter associated with a first network connection between the computing device and the first location;

determining a second service parameter associated with a second network connection between the computing device and the network node; and

when the second service parameter has a higher service parameter score than the first service parameter, migrating a portion of the data from the first location to the network node prior to the second time and providing the computing device access to the portion of the data from the second location through the network node.

2. The method of claim 1, further comprising:

determining a third time prior to the second time in which the user will not need access to the data, the migrating of the portion of the data performed during the third time.

3. The method of claim 2, wherein the determining of the third time in which the user will not need access to the data comprising predicting that the user will not need access to the data during the third time, the predicting based on an estimated travel time between the first location and the second location.

4. The method of claim 3, wherein the estimated travel time is determined based on at least one of a mode of travel, a travel distance, a travel velocity, or one or more estimated traveling conditions.

5. The method of claim 1, wherein the network node comprises at least one a fog node residing in a fog layer of a fog computing architecture, or a cloud node residing in a cloud of a cloud computing architecture.

6. The method of claim 1, further comprising:

determining a period of time in which the user will be traveling from the first location to the second location; and

identifying a second network node residing within at least one of a proximity of one or more locations where the user is estimated to be during the period of time in which the user will be traveling,

     2) a geographic area associated with the one or more locations where the user is estimated to be during the period of time in which the user will be traveling, or a logical network proximity associated with the one or more locations; and

migrating the portion of the data to the second network node for access by the user during the period of time.

7. The method of claim 6, wherein the second network node comprises a fog node residing in a fog layer of a fog computing architecture.

8. The method of claim 7, wherein the fog node is identified based on at least one of a location of the user during the period of time, an estimated location of the user during at least part of the period of time, a travel mode of the user, a travel velocity of the user, an estimated travel path associated with the user, a proximity of the user to one or more fog nodes in the fog layer, or a characteristic or topology of at least one of the fog layer or a wireless network accessible to the user during the period of time in which the user will be traveling.

9. The method of claim 8, further comprising:

migrating, at the second time, the portion of the data from the fog node to the network node based on at least one of a first determination that the user is within a first proximity to the second location, or a second determination that the user is beyond a second proximity to the fog node;

wherein the portion of the data comprises one or more changes made to the portion of the data while the portion of the data was hosted by the fog node.

10. The method of claim 9,

wherein,

the network node comprises a second fog node and a cloud node,

the migrating of the portion of the data to the network node comprises one of:

migrating a first part of the portion of the data to the cloud node and a second part of the portion of the data to the second fog node, or

migrating the portion of the data to the cloud node and subsequently migrating, based on a determination that the user is closer to the second fog node than the cloud node, at least part of the portion of the data to the second fog node.

11. The method of claim 1, further comprising:

determining the user will need to access, at a third time after the second time, the data from the first location;

prior to the third time, migrating at least the portion of the data from the network node back to the first location.

12. A system comprising:

one or more processors; and

at least one computer-readable storage medium having stored therein instructions which, when executed by the one or more processors, cause the one or more processors to perform operations comprising;

predicting, at a first time, that a user will need, at a second time, access to data stored at a first location, from a second location, the predicting including that the user will be at the second location at the second time, the predicting based on a schedule or calendar associated with the user and data or network preferences associated with the user;

identifying a network node capable of storing the data and accessible by a computing device from the second location;

determining a first service parameter associated with a first network connection between the computing device and the first location;

determining a second service parameter associated with a second network connection between the computing device and the network node; and

when the second service parameter has a higher service parameter score than the first service parameter, migrating a portion of the data from the first location to the network node prior to the second time.

13. The system of claim 12, the operations include:

determining a downtime for the user in which the user will not need access to the data, the downtime being after the first time and prior to the second time; and

wherein the migrating of the portion of the data is performed during the downtime.

14. The system of claim 13, the operations include:

determining the user has traveled to a third location that is beyond a threshold range of the network node; and

removing at least a portion of the data from the network node.

15. The system of claim 12, wherein the operations include:

determining a period of time in which the user will be traveling to the second location; and

identifying a second network node residing within at least one of a range of one or more locations where the user is estimated to be during the period of time in which the user will be traveling, a geographic area associated with the one or more locations where the user is estimated to be during the period of time in which the user will be traveling, or a logical network proximity associated with the one or more locations; and

migrating at least part of the portion of the data to the second network node for access by the user during the period of time;

wherein the second network node comprises a fog node residing in a fog layer of a fog computing architecture.

16. A non-transitory computer-readable storage medium having stored therein instructions which, when executed by a processor, cause the processor to perform operations comprising:

predicting a user will need to access, at a future time, from a remote location, data hosted at a home location, the predicting including that the user will be at the remote location at the future time, the predicting based on a schedule or calendar associated with the user and data or network preferences associated with the user;

identifying one or more network nodes residing within at least one of a logical network proximity as the remote location, a same geographic area as the remote location, or a threshold proximity to the remote location; and

prior to the future time, migrating a portion of the data hosted at the home location to the one or more network nodes when a service score of the one or more network nodes is higher than another service score of the home location.

17. The non-transitory computer-readable storage medium of claim 16, wherein the operations include:

determining a period of time in which the user will be traveling to the remote location;

identifying a network node residing within at least one of a range of one or more locations where the user is estimated to be during the period of time in which the user will be traveling, or a geographic area associated with the one or more locations where the user is estimated to be during the period of time in which the user will be traveling; and

migrating at least part of the portion of the data to the network node for access by the user during the period of time.

18. The non-transitory computer-readable storage medium of claim 17,

wherein,

the network node comprises a fog node residing in a fog layer of a fog computing architecture;

and

the fog node is identified based on at least one of;

a current location of the user;

an estimated location of the user during at least part of the period of time;

a travel mode of the user;

a travel velocity of the user;

an estimated travel path associated with the user;

a proximity of the user to one or more fog nodes in the fog layer;

or

a characteristic or topology of at least one of a wireless network accessible to the user during the period of time in which the user will be traveling, the fog layer, or the fog computing architecture.

19. The non-transitory computer-readable storage medium of claim 18,

wherein,

the operations include migrating, at the future time, the portion of the data from the fog node to the one or more network nodes based on at least one of a first determination that the user is within a first proximity of the remote location, or a second determination that the user is beyond a second proximity of the fog node,

the portion of the data includes one or more changes made to the at least part of the portion of the data while the at least part of the portion of the data was hosted by the fog node, and

the one or more network nodes includes a second fog node.