AUTO-SCALING MANAGEMENT OF WEB CONTENT

• US 20140059179A1
• Filed: 08/23/2012
• Published: 02/27/2014
• Est. Priority Date: 08/23/2012
• Status: Active Grant

• Current Assignee: Adobe Systems Incorporated (Adobe Inc.)
• Original Assignee: Adobe Systems Incorporated (Adobe Inc.)
• Inventors: Lam, Anthony
• Granted Patent: US 9,161,064 B2
• Time in Patent Office: Days
• US Class Current: 709/219
• CPC Class Codes: G06F 11/3419 by assessing time
• CPC Class Codes: G06F 11/3442 for planning or managing the needed capacity
• CPC Class Codes: G06F 11/3495 for systems
• CPC Class Codes: G06F 9/5011 the resources being hardware resources other than CPUs, Servers and Terminals
• CPC Class Codes: G06F 9/5083 Techniques for rebalancing the load in a distributed system
• CPC Class Codes: H04L 43/0817 by checking functioning
• CPC Class Codes: H04L 67/1001 for accessing one among a plurality of replicated servers
• CPC Class Codes: H04L 67/1008 based on parameters of servers, e.g. available memory or workload monitoring of computer activity G06F11/30
• CPC Class Codes: H04L 67/1031 Controlling of the operation of servers by a load balancer, e.g. adding or removing servers that serve requests
• CPC Class Codes: H04N 21/234363 by altering the spatial resolution, e.g. for clients with a lower screen resolution
• CPC Class Codes: H04N 21/23439 for generating different versions
• CPC Class Codes: H04N 21/25841 involving the geographical location of the client retrieval from the Internet by querying based on geographical locations G06F16/9537; arrangements for identifying locations of receiving stations in broadcast systems H04H60/51; location of the user terminal in data switching networks H04L67/52; services making use of the location of users or terminals in wireless networks H04W4/02; locating users or terminals in wireless networks H04W64/00
• CPC Class Codes: H04N 21/2665 Gathering content from different sources, e.g. Internet and satellite
• CPC Class Codes: H04N 21/4524 involving the geographical location of the client retrieval from the Internet by querying based on geographical locations G06F16/9537; systems specially adapted for using geographical information in broadcast systems H04H60/70; protocols in which the network application is adapted for the location of the user terminal in communication control or processing H04L67/52; services making use of the location of users or terminals in wireless networks H04W4/02; locating users or terminals in wireless networks H04W64/00

Abstract

One exemplary embodiment involves transmitting a request to a distributed resource system to provide, from a server computer device associated with the distributed computing resource system, network content to a requesting device, the server computer device being located at a geographic location that corresponds to a location of the requesting device. The embodiment further involves measuring at least one of a plurality of performance metrics associated with providing the network content and determining whether to auto scale a plurality of resources associated with the server computer device based at least in part on the at least one of the performance metrics. Additionally, the embodiment involves transmitting a request to the distributed computing resource system to auto scale the resources, responsive to the determination to auto scale the resources associated with the server device.

Claims

1. A computer-implemented method comprising:

transmitting a request to a distributed computing resource system to provide, from a server computer device associated with the distributed computing resource system, network content to a requesting device, the server computer device being located at a geographic location that corresponds to a location of the requesting device;

measuring at least one of a plurality of performance metrics associated with providing the network content;

determining whether to auto scale a plurality of resources associated with the server computer device based at least in part on the at least one of the performance metrics; and

responsive to the determination to auto scale the resources associated with the server device, transmitting a request to the distributed computing resource system to auto scale the resources.

2. The computer-implemented method of claim 1, wherein the performance metrics comprise a number of network content page hits, a number of network content site hits, a response time for serving up the network content, a load time of the network content or an available capacity of the server device.

3. The computer-implemented method of claim 1, wherein the request to auto scale the resources is one of a request to scale up the resources associated with the server device or a request to scale down the resources associated with the server device.

4. The computer-implemented method of claim 1, wherein the resources associated with the server device comprise at least one of hard disk storage, memory, or virtual computing resources.

5. The computer-implemented method of claim 1, wherein determining whether to auto scale the resources comprises:

determining whether a response time for serving up the network content is slower than a threshold amount of time, wherein the response time for serving up the network content is based at least in part an amount of time to serve up the network content upon receiving a request to access the network content from the requesting device; and

responsive to the determination that the response time for serving up the network content is slower than the threshold amount of time, determining to scale up the resources associated with the server device.

6. The computer-implemented method of claim 1, wherein determining whether to auto scale the resources comprises:

determining whether an available capacity of the server device is less than a threshold availability, the available capacity and threshold amount corresponding to a utilization rate of the resources associated with the server computer;

determining whether a response time for serving up the network content is slower than a threshold amount of time; and

responsive to the determination that the available capacity of the server device is less than a threshold availability and the determination that the response time for serving up the network content is slower than the threshold amount of time, determining to scale up the resources associated with the server device.

7. The computer-implemented method of claim 1, wherein determining whether to auto scale the resources comprises:

determining whether an available capacity of the server device is less than a threshold availability, the available capacity and threshold amount corresponding to a utilization rate of the resources associated with the server computer; and

responsive to the determination that the available capacity of the server device is less than a threshold availability, determining to scale up the resources associated with the server device.

8. The computer-implemented method of claim 1, wherein determining whether to auto scale the resources comprises:

determining whether a response time for serving up the network content is faster than a second threshold amount of time; and

responsive to the determination that the response time for serving up the network content is faster than the second threshold amount of time, determining to scale down the resources associated with the server device.

9. The computer-implemented method of claim 1, wherein determining whether to auto scale the resources comprises:

determining whether a load time of the network content slower than a third threshold amount of time, the load time of the network content corresponding to a network latency; and

responsive to the determination that the load time of the network content is slower than the third threshold amount of time, determining to scale up the resources associated with the server computer associated with the network.

10. The computer-implemented method of 3, wherein the amount of resources increased or decreased corresponds to an amount of resources for improving the measured at least one performance metric.

11. A system comprising:

a processor for executing instructions stored in computer-readable medium on one or more devices,

the application comprising one or more modules configured to perform the steps comprising;

measuring at least one of a plurality of performance metrics associated with serving up network content to a plurality of requesting client devices;

determining whether to auto scale a plurality of resources associated with a computer system instance that serves up the network content based at least in part on the at least one of the plurality of performance metrics; and

responsive to the determination to auto scale the resources associated with the computer system instance, transmitting a request to a distributed computing resource system to auto scale the resources.

12. The system of claim 11, wherein the performance metrics comprise a number of network content page hits, a number of network content site hits, a response time for serving up the network content, a load time of the network content or an available capacity of the server device.

13. The system of claim 11, the computer system instance is implemented on a server computer device associated with the distributed computing resource system.

14. The system of claim 11, wherein the amount of resources scaled up or scaled down corresponds to an amount of resources for improving the measured at least one performance metric.

15. The system of claim 11, wherein determining whether to auto scale the resources comprises:

determining whether a response time for serving up the network content is slower than a threshold amount of time, wherein the response time for serving up the network content is based at least in part an amount of time to serve up the network content upon receiving a request, from a requesting device, to access the network content; and

responsive to the determination that the response time for serving up the network content is slower than the threshold amount of time, determining to scale up the resources associated with the computer system instance.

16. The system of claim 11, wherein determining whether to auto scale the resources comprises:

determining whether a response time for serving up the network content is faster than a second threshold amount of time; and

responsive to the determination that the response time for serving up the network content is faster than the second threshold amount of time, determining to scale down the resources associated with the computer system instance.

17. The system of claim 11, wherein the computer system instance is implemented on a server computer device located at a geographic location that corresponds to a location of a requesting device to which the network content is served up.

18. A non-transitory computer-readable medium on which is encoded program code, the program code comprising:

receiving, from an author device, network content to host and publish via a distributed computing resource system;

transmitting a request to the distributed computing resource system, to provide, from a computer system instance implemented on a server computer device associated with a distributed computing resource system, network content to a requesting device, the server computer device being located at a geographic location that corresponds to a location of the requesting device;

measuring at least one of a plurality of performance metrics associated with providing the network content, wherein the performance metrics comprise a number of network content page hits, a number of network content site hits, a response time for serving up the network content, a load time of the network content or an available capacity of the server device;

determining whether to auto scale a plurality of resources associated with the computer system instance based at least in part on the at least one of the performance metrics; and

responsive to the determination to auto scale the resources associated with the computer system instance, transmitting a request to the distributed computing resource system to auto scale the resources.

19. The non-transitory computer-readable medium of claim 18, wherein determining whether to auto scale the resources comprises:

determining whether an available capacity of the server device implementing the computer system instance is less than a threshold availability, the available capacity and threshold amount corresponding to a utilization rate of the resources associated with the server computer;

determining whether a response time for serving up the network content is slower than a threshold amount of time; and

responsive to the determination that the available capacity of the server device is less than a threshold availability and the determination that the response time for serving up the network content is slower than the threshold amount of time, determining to scale up the resources associated with the server device.

20. The non-transitory computer-readable medium of claim 18, wherein determining whether to auto scale the resources comprises:

determining whether a response time for serving up the network content is slower than a threshold amount of time, wherein the response time for serving up the network content is based at least in part an amount of time to serve up the network content upon receiving a request to access the network content from the requesting device; and

responsive to the determination that the response time for serving up the network content is slower than the threshold amount of time, determining to scale up the resources associated with the computer system instance.