Multiple stream real time data simulation adapted for a KStore data structure

• US 20060100845A1
• Filed: 04/14/2005
• Published: 05/11/2006
• Est. Priority Date: 11/08/2004
• Status: Abandoned Application

• Current Assignee: Unisys Corporation
• Original Assignee: Unisys Corporation
• Inventors: Mazzagatti, Jane Campbell, Phan, Tony T.
• Application Number:
  US11/106,253
• Publication Number:
  US 20060100845A1
• Time in Patent Office: Days
• US Class Current: 703/22
• CPC Class Codes: G06F 16/2246 Trees, e.g. B+trees

Abstract

A method for generating data for a KStore includes collecting modeled process defining parameters to provide a defined modeled process and instantiating a first simulator. A data stream is created by the simulator in accordance with the defined modeled process and a data stream is transmitted to a data storage device. Executing a single thread and executing a plurality of threads by the first simulator are set forth. A single set of modeled process defining parameters is collected. A data stream of the single modeled process is provided in accordance with the single set of modeled process defining parameters. A second simulator can be instantiated and a single thread or a plurality of threads can be executed on the second simulator. A plurality of sets of modeled process defining parameters is collected and a plurality data streams of the modeled processes are provided in accordance with the plurality of sets of modeled process defining parameters.

Claims

1. A method for generating data for a KStore, comprising:

collecting modeled process defining parameters to provide at least one defined modeled process;

instantiating a first simulator;

creating a data stream by said at least one simulator in accordance with said defined modeled process; and

transmitting said at least one data stream to a repository.

2. The method for generating data for a KStore of claim 1, further comprising executing a single thread by said first simulator.

3. The method for generating data for a KStore of claim 2, further comprising executing a plurality of threads by said first simulator.

4. The method for generating data for a KStore of claim 3, further comprising:

collecting a single set of modeled process defining parameters; and

providing a single modeled process in accordance with said single set of modeled process defining parameters.

5. The method for generating data for a KStore of claim 4, further comprising instantiating a second simulator.

6. The method for generating data for a KStore of claim 5, further comprising executing a single thread on said second simulator.

7. The method for generating data for a KStore of claim 5, further comprising:

executing a plurality of threads on said second simulator;

collecting a plurality of sets of modeled process defining parameters; and

providing a plurality of modeled processes in accordance with said plurality of sets of modeled process defining parameters.

8. The method for generating data for a KStore of claim 3, further comprising transmitting a plurality of data streams according to said plurality of threads.

9. The method for generating data for a KStore of claim 8, further comprising transmitting said plurality of data streams to a single KStore.

10. The method for generating data for a KStore of claim 8, wherein the data streams of said plurality of data streams are transmitted in real time.

11. The method for generating data for a KStore of claim 10, wherein the data streams of said plurality of data streams are transmitted simultaneously.

12. The method for generating data for a KStore of claim 3, further comprising:

collecting a plurality of sets of modeled process defining parameters; and

providing a plurality of modeled processes in accordance with said plurality of sets of modeled process defining parameters.

13. The method for generating data for a KStore of claim 12, further comprising transmitting a plurality of data streams according to said plurality of threads.

14. The method for generating data for a KStore of claim 13, further comprising transmitting said plurality of data streams to a single KStore.

15. The method for generating data for a KStore of claim 13, wherein the data streams of said plurality of data streams are transmitted in real time.

16. The method for generating data for a KStore of claim 15, wherein the data streams of said plurality of data streams are transmitted simultaneously.

17. The method for generating data for a KStore of claim 13, further comprising transmitting said plurality of data streams to a plurality of KStores.

18. The method for generating data for a KStore of claim 13, further comprising transmitting said plurality of data streams to a temporary data storage device.

19. The method for generating data for a KStore of claim 1, further comprising transmitting a plurality of data streams according to said first simulator.

20. The method for generating data for a KStore of claim 19, further comprising:

collecting a plurality of sets of modeled process defining parameters; and

providing a plurality of modeled processes in accordance with said plurality of sets of modeled process defining parameters.

21. The method for generating data for a KStore of claim 19, further comprising transmitting said plurality of data streams to a single KStore.

22. The method for generating data for a KStore of claim 19, wherein the data streams of said plurality of data streams are transmitted in real time.

23. The method for generating data for a KStore of claim 22, wherein the data streams of said plurality of data streams are transmitted simultaneously.

24. The method for generating data for a KStore of claim 1, further comprising instantiating a plurality of simulators.

25. The method for generating data for a KStore of claim 24, further comprising executing a single thread on at least one simulator of said plurality of simulators to provide a single data stream.

26. The method for generating data for a KStore of claim 25, further comprising executing a plurality of threads on said at least one simulator of said plurality of simulators to provide a corresponding plurality of data streams.

27. The method for generating data for a KStore of claim 26, further comprising providing a plurality of modeled processes corresponding to said plurality of data streams.

28. The method for generating data for a KStore of claim 26, further comprising transmitting said plurality of data streams simultaneously in real time.

29. The method for generating data for a KStore of claim 28, wherein said plurality of data streams comprises at least two data streams having differing data stream formats.

30. The method for generating data for a KStore of claim 26, further comprising instantiating a learn engine for each thread of said plurality of threads.

31. The method for generating data for a KStore of claim 1, further comprising:

providing a configuration file having configuration information for configuring data; and

arranging data record values in data record fields of a data record in accordance with said configuration information to provide a configured data record.

32. The method for generating data for a KStore of claim 31, further comprising inserting said configured data record into said at least one data stream.

33. The method for generating data for a KStore of claim 32, wherein said configuration file comprises a plurality of variable names.

34. The method for generating data for a KStore of claim 33, wherein said configuration file includes a plurality of variable values further comprising assigning said variable values to said variable names.

35. The method for generating data for a KStore of claim 34, wherein said configuration file includes a probability value further comprising selectively assigning said variable values to said variable names in accordance with said probability value.

36. The method for generating data for a KStore of claim 34, wherein said configuration file comprises a plurality of different user-provided probability values further comprising selectively assigning said variable values to said variable names in accordance with plurality of different user-provided probability values.

37. The method for generating data for a KStore of claim 34, further comprising selectively assigning said variable values to said variable names in accordance with a predetermined probability value.

38. The method for generating data for a KStore of claim 31, further comprising:

providing a scenario file having a plurality of configuration files; and

arranging data record values in data record fields in accordance with said plurality of configuration files to provide a plurality of configured data records.

39. The method for generating data for a KStore of claim 38, further comprising providing a plurality of modeled processes in accordance with said plurality of configuration files.

40. The method for generating data for a KStore of claim 38, wherein said scenario file includes at least one further scenario file further comprising arranging said data record values in data record fields in accordance with said at least one further scenario file to provide said plurality of configured data records.

41. The method for generating data for a KStore of claim 1, further comprising:

building said KStore; and

determining a context within said KStore simultaneously with said building of said KStore.

42. The method for generating data for a KStore of claim 41, further comprising building said KStore in accordance with said at least one data stream.

43. The method for generating data for a KStore of claim 1, wherein if one of the modeled process defining parameters is time, mapping clumps of simulator data around a selected period of time, such that for any given number of units of said selected time periods, a same number of clumps of simulated data will be produced.

44. A computer system configured to execute program instructions which when executing execute a method as set forth in claim 1.

45. A data file in a computer readable memory, containing program instructions which when executing in a computer system execute a method as set forth in claim 1.