Systems and methods for simulating a notification system
Systems and methods for a cloud management system which utilizes both technical and business metrics to achieve operational efficiencies. The systems and methods can be used to provide an elastic infrastructure model for an emergency notifications system which delivers near infinite scale with guaranteed near 100% uptime. In an embodiment, a mass recipient emulator can be utilized for testing of the notifications system with actual phone call or message exchange.
1. A system for testing a notification system by simulating phone calls to recipients comprising:
a receiver configured to receive inbound phone calls; and
a processor coupled to the receiver and configured to provide a mass recipient emulator, said mass recipient emulator configured to:
determine a model for end user behavior based on caller identification information associated with the inbound phone calls;
simulate said end user behavior, said behavior selected from the group consisting of: hanging up after hearing or during a greeting, listening to a few seconds of a message and then hanging up, responding to a message, and listening to a message multiple times; and
derive optimal notification characteristics from historical usage data collected by the notification system during the simulating.
2. The system of claim 1 , wherein said model for said simulated end user behavior is specified by an operator.
3. The system of claim 1 , wherein said model for said simulated end user behavior is derived from the historical usage data collected by the notification system.
4. The system of claim 1 , wherein different models are associated with different caller identification information.
5. The system of claim 1 , wherein said model indicates one or more percentages corresponding to percentages of end users that perform each behavior, and wherein said behavior is determined from said model based on the one or more percentages.
6. The system of claim 1 , wherein the optimal notification characteristics comprise sending two or more notifications of different types to a recipient.
7. The system of claim 6 , wherein the two or more notifications of different types are sent in a particular order.
8. The system of claim 7 , wherein the two or more notifications of different types comprise a short message service (SMS) message and a phone call, and wherein the particular order indicates that the SMS message is to be followed by the phone call.
9. The system of claim 1 , wherein the optimal notification characteristics comprise sending a notification of a predetermined length to a recipient.
10. The system of claim 1 , wherein the mass recipient emulator is further configured to receive feedback information and to modify the model based at least on the feedback information.
11. The system of claim 1 , further comprising one or more interactive voice response (IVR) systems configured to:
receive at least one of the inbound phone calls;
identify caller identification information for the at least one inbound phone call; and
query the mass recipient emulator with the caller identification information for the at least one inbound phone call.
12. The system of claim 11 , wherein the one or more IVR systems are configured to prompt a simulated end user for a response, and wherein said end user behavior specified by said model indicates a response for said prompt, and indicates a delay specifying a predetermined period of time before simulating a response to said prompt.
13. A method of testing a notification system comprising:
receiving a notification sent through a network;
linking the notification to a mass recipient emulator module;
querying the mass recipient emulator module to determine a behavior, wherein the behavior is associated with an action and a timing parameter for when the action is performed; and
utilizing the behavior to respond to the notification,
wherein the mass recipient emulator is configured to:
determine said behavior using a model, and wherein said model is determined based on caller identification information associated with the notification; and
derive optimal notification characteristics from historical usage data collected by the notification system during simulation.
14. The method of claim 13 , wherein the notification comprises a phone call sent through a public switched telephone network.
15. The method of claim 13 , wherein said model for said behavior is specified by an operator.
16. The method of claim 13 , wherein said model for said behavior is derived from historical usage data.
17. The method of claim 16 , wherein the mass recipient emulator is configured to derive optimal notification characteristics from the historical usage data.
18. The method of claim 13 wherein different models are associated with different caller identification information.
19. The method of claim 13 , wherein said model indicates one or more percentages corresponding to percentages of end users that perform each behavior, and wherein said behavior is determined from said model based on the one or more percentages.
20. A non-transitory computer-readable storage medium storing instructions that, when executed by a processor, cause the processor to perform operations for testing a notification system by comprising:
receiving a notification sent through a network;
linking the notification to a mass recipient emulator module;
querying the mass recipient emulator module to determine a behavior, wherein the behavior is associated with an action and a timing parameter for when the action is performed; and
utilizing the behavior to respond to the notification,
wherein the mass recipient emulator is configured to:
determine said behavior using a model, and wherein said model is determined based on caller identification information associated with the notification; and
derive optimal notification characteristics from historical usage data collected by the notification system during simulation.
21. The non-transitory computer-readable storage medium of claim 20 , wherein the notification comprises a phone call sent through a public switched telephone network.
22. The non-transitory computer-readable storage medium of claim 20 , wherein said model for said behavior is specified by an operator.
23. The non-transitory computer-readable storage medium of claim 20 , wherein said model for said behavior is derived from historical usage data.
24. The non-transitory computer-readable storage medium of claim 20 , wherein different models are associated with different caller identification information.
25. The non-transitory computer-readable storage medium of claim 20 , wherein said model indicates one or more percentages corresponding to percentages of end users that perform each behavior, and wherein said behavior is determined from said model based on the one or more percentages.