VISUAL VOICEMAIL SCALABILITY TEST

• US 20130287183A1
• Filed: 04/27/2012
• Published: 10/31/2013
• Est. Priority Date: 04/27/2012
• Status: Active Grant

• Current Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Original Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Inventors: Ren, Dahai
• Granted Patent: US 9,232,050 B2
• Time in Patent Office: Days
• US Class Current: 379/26.01
• CPC Class Codes: H04M 2203/251 where a voice mode or a visual mode can be used interchangeably
• CPC Class Codes: H04M 3/2263 Network management
• CPC Class Codes: H04M 3/5315 where the non-audio components are still images or video still image mailbox systems H04N1/324, intermediate storage of video signals for videophones H04N7/147

Abstract

A method includes identifying a peak interval traffic intensity for visual voicemail (VVM) services in a network. The method includes identifying a. plurality of user devices available for implementing scalability testing. A number of requests for VVM services during a prospective time for scalability testing in the network is also identified. The method includes determining a number of additional requests for VVM services from the plurality of user devices that approximates the peak interval traffic intensity during the prospective time for scalability testing in the network. The method also includes determining instructions for at least one of the plurality of user devices to provide the determined number of additional requests. The determined instructions are sent to the at least one of the plurality of user devices.

Claims

1. A computer-implemented method comprising:

identifying a peak interval traffic intensity for visual voicemail VVM services in a network;

identifying a plurality of user devices available for implementing scalability testing;

identifying a number of requests for VVM services during a prospective time for scalability testing in the network;

determining a number of additional requests for VVM services from the plurality of user devices that approximates the peak interval traffic intensity during the prospective time for scalability testing in the network;

determining instructions for at least one of the plurality of user devices to provide the determined additional requests; and

sending the determined instructions to the at least one of the plurality of user devices.

2. The computer-implemented method of claim 1, wherein identifying the peak interval traffic intensity further comprises:

identifying a highest average number of requests for VVM services over a predetermined interval.

3. The computer-implemented method of claim 1, wherein identifying the plurality of user devices available for implementing scalability testing further comprises:

identifying mobile device numbers (MDNs) associated with each of the plurality of user devices; and

wherein users associated with each of the plurality of user devices have authorized use of their respective user devices for a scalability test.

4. The computer-implemented method of claim 1, wherein determining the number of additional requests to approximate the peak interval traffic intensity further comprises:

subtracting the number of requests for VVM services during the prospective time for scalability testing from the peak interval traffic intensity for VVM services.

5. The computer-implemented method of claim 1, wherein the user device comprises one of a mobile telephone, a tablet computer device, or a personal computer.

6. The computer-implemented method of claim 1, wherein determining instructions for the at least one of the plurality of user devices to provide the determined additional requests further comprises:

determining a number of request for the at least one of the plurality of user devices.

7. The computer-implemented method of claim 1, wherein sending the determined instructions to the at least one of the plurality of user devices further comprises:

sending an short message system (SMS) message including an identifier of an application, a task status, a purpose of the SMS message, a time to begin requesting VVM services, and an instruction for requesting the VVM services.

8. The computer-implemented method of claim 1, further comprising:

identifying the prospective time for scalability testing in the network based on a tow number of requests associated with the prospective time.

9. The computer-implemented method of claim 1, wherein determining instructions for at least one of the plurality of user devices to provide the determined additional requests further comprises:

determining the instructions to gradually increase a number of requests per interval.

10. A method, comprising:

receiving, at a user device, an instruction to provide a request for visual voicemail (VVM) services in a network, wherein the instruction includes an identifier of an application, a task status, a purpose of the SMS message, a time to begin requesting VVM services, and an instruction for requesting the VVM services; and

providing the request at the time assigned in the instruction, wherein the request is one of a plurality of requests to approximate a peak interval traffic intensity during a prospective time for scalability testing in the network.

11. The method of claim 10, wherein data consumption charges associated with sending of the request for VVM services is zero.

12. A device, comprising:

a memory to store a plurality of instructions; and

a processor configured to execute instructions in the memory to;

identify a peak interval traffic intensity for application associated with voicemail in a network;

identify a plurality of user devices available for implementing scalability testing;

identify a number of requests for the application associated with voicemail during a prospective time for scalability testing in the network;

determine a number of additional requests for the application associated with voicemail from the plurality of user devices that approximates the peak interval traffic intensity during the prospective time for scalability testing in the network;

generate instructions for the plurality of user devices to provide the determined number of additional requests; and

send the generated instructions to the plurality of user devices.

13. The device of claim 12, where, when identifying the peak interval traffic intensity, the processor is further configured to:

identify a highest average number of requests for the application associated with voicemail over a predetermined interval.

14. The device of claim 12, where, when identifying the plurality of user devices available for implementing scalability testing, the processor is further configured to:

identify mobile device numbers (MDNs) associated with each of the plurality of user devices; and

wherein users associated with each of the plurality of user devices have authorized use of the each of the plurality of user devices for a scalability test.

15. The device of claim 12, where, when determining the number of additional requests to approximate the peak interval traffic intensity, the processor is further configured to:

subtract the number of requests for the application associated with voicemail during the prospective time for scalability testing from the peak interval traffic intensity for the application associated with voicemail,

16. The device of claim 12, wherein, when generating instructions for plurality of user devices to provide the determined additional requests, the processor is further configured to:

determine a number of request for each of the plurality of user devices.

17. The device of claim 12, wherein, when sending the generated instructions to the plurality of user devices, the processor is further configured to:

send an SMS message including an identifier of an application, a task status, a purpose of the SMS message, a time to begin requesting the application associated with voicemail, and an instruction for requesting the application associated with voicemail.

18. The device of claim 12, wherein the processor is further configured to:

generate the instructions to gradually increase a number of requests per interval.

19. A computer-readable medium including instructions to be executed by a processor, the instructions including one or more instructions, which when executed by the processor, cause the processor to:

identify a peak interval traffic intensity for visual voicemail (VVM) services in a network;

identify a plurality of user devices available for implementing scalability testing;

identify a number of requests for VVM services during a prospective time for scalability testing in the network;

determine a number of additional requests for VVM services from the plurality of user devices that approximates a target level of requests for VVM services during the prospective time for scalability testing in the network;

generate instructions for at least one of the plurality of user devices to provide the determined number of additional request; and

send the generated instructions to the at least one of the plurality user devices.

20. The computer-readable medium of claim 19, wherein the one or more instructions further includes instructions to:

determine the target level of requests for VVM services based on the peak interval traffic intensity.