DERIVING COMPONENT STATISTICS FOR A STREAM ENABLED APPLICATION

• US 20160234084A1
• Filed: 04/20/2016
• Published: 08/11/2016
• Est. Priority Date: 11/07/2007
• Status: Active Grant

• Current Assignee: Numecent Holdings Incorporated
• Original Assignee: Numecent Holdings Incorporated
• Inventors: de Vries, Jeffrey, Hitomi, Arthur S.
• Granted Patent: US 10,445,210 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 11/3476 Data logging G06F11/14, G06F11/2205 take precedence
• CPC Class Codes: G06F 17/18 for evaluating statistical data , e.g. average values, frequency distributions, probability functions, regression analysis forecasting specially adapted for a specific administrative, business or logistic context G06Q10/04
• CPC Class Codes: G06F 2201/865 Monitoring of software
• CPC Class Codes: G06F 9/3851 from multiple instruction streams, e.g. multistreaming
• CPC Class Codes: G06F 9/463 Program control block organisation
• CPC Class Codes: H04L 65/764 at the destination reformatting of additional data in video clients H04N21/4355

Abstract

A technique for generating component usage statistics involves associating components with blocks of a stream-enabled application. When the streaming application is executed, block requests may be logged by Block ID in a log. The frequency of component use may be estimated by analyzing the block request log with the block associations.

Claims

1. A method, comprising:

intercepting, by a virtual environment at a client, a request for a resource of a virtualized application at the client by the virtual environment;

translating the request for the resource into a list of one or more blocks for use in execution of the virtualized application at the client;

adding block IDs of the one or more blocks to a log, the log used to determine if the one or more blocks are stored locally for satisfying a future request for the resource of the virtualized application;

submitting the list to a streaming system remote from the client;

receiving the one or more blocks from the streaming system;

using the one or more blocks to execute the virtualized application at the client.

2. The method of claim 1, further comprising:

predicting additional blocks that will be needed for continued execution of the virtualized application;

adding an identification of the additional blocks to the list;

receiving from the streaming system the additional blocks.

3. The method of claim 1, further comprising:

predicting, using the log, additional blocks that will be needed for continued execution of the virtualized application;

adding an identification of the additional blocks to the list;

receiving from the streaming system the additional blocks.

4. The method of claim 1, wherein the block IDs are added with a session identifier to the log, the session identifier indicating a session in which the virtualized application is being executed at the client.

5. The method of claim 1, wherein the log is a raw log, the method further comprising:

aggregating, using the raw log, a plurality of block IDs included in the raw log with session IDs to generate component statistics of blocks of the virtualized application.

6. The method of claim 1, wherein the log is a raw log, the method further comprising:

generating a formatted session log from the raw log, the formatted session log including a logical representation of component statistics of blocks used in execution of the virtualized application as a block-session grid.

7. The method of claim 1, wherein the log is a raw log, the method further comprising:

generating a formatted session log from the raw log, the formatted session log encoded as a bit map with one bit specifically associated with a specific block of the virtualized application.

8. The method of claim 7, wherein an association of the specific block with the one bit indicates that the specific block was used in executing the virtualized application.

9. The method of claim 1, further comprising aggregating the log according to aggregation preferences to generate a formatted log.

10. The method of claim 1, further comprising aggregating the log according to aggregation preferences to generate a formatted log, wherein the aggregation preferences are specific to a user of the client.

11. A system, comprising:

a virtual environment at a client configured to;

intercept a request for a resource of a virtualized application at the client;

translate the request for the resource into a list of one or more blocks for use in execution of the virtualized application at the client;

add block IDs of the one or more blocks to a log, the log used to determine if the one or more blocks are stored locally for satisfying a future request for the resource of the virtualized application;

a streaming system remote from the client configured to;

receive the list from the client;

provide the one or more blocks to the client;

the virtual environment further configured to use the one or more blocks to execute the virtualized application at the client.

12. The system of claim 11, wherein the virtual environment is further configured to:

predict additional blocks that will be needed for continued execution of the virtualized application;

add an identification of the additional blocks to the list;

receive from the streaming system the additional blocks.

13. The system of claim 11, wherein the virtual environment is further configured to:

predict, using the log, additional blocks that will be needed for continued execution of the virtualized application;

add an identification of the additional blocks to the list;

receive from the streaming system the additional blocks.

14. The system of claim 11, wherein the virtual environment is further configured to add the block IDs to the log with a session identifier, the session identifier indicating a session in which the virtualized application is being executed at the client.

15. The system of claim 11, wherein the log is a raw log, system further comprising:

an aggregator configured to aggregate, using the raw log, a plurality of block IDs included in the raw log with session IDs to generate component statistics of blocks of the virtualized application.

16. The system of claim 11, wherein the log is a raw log, the system further comprising:

an aggregator configured to generate a formatted session log from the raw log, the formatted session log including a logical representation of component statistics of blocks used in execution of the virtualized application as a block-session grid.

17. The system of claim 11, wherein the log is a raw log, the system further comprising:

an aggregator configured to generate a formatted session log from the raw log, the formatted session log encoded as a bit map with one bit specifically associated with a specific block of the virtualized application.

18. The system of claim 11, further comprising an aggregator configured to aggregate the log according to aggregation preferences to generate a formatted log.

19. The system of claim 11, further comprising an aggregator configured to aggregate the log according to aggregation preferences to generate a formatted log, wherein the aggregation preferences are specific to a user of the client.

20. A system, comprising:

means for intercepting, by a virtual environment at a client, a request for a resource of a virtualized application at the client by the virtual environment;

means for translating the request for the resource into a list of one or more blocks for use in execution of the virtualized application at the client;

means for adding block IDs of the one or more blocks to a log, the log used to determine if the one or more blocks are stored locally for satisfying a future request for the resource of the virtualized application;

means for submitting the list to a streaming system remote from the client;

means for receiving the one or more blocks from the streaming system;

means for using the one or more blocks to execute the virtualized application at the client.