Method and system for implementing an on-demand scheduler

• US 8,700,656 B2
• Filed: 05/27/2011
• Issued: 04/15/2014
• Est. Priority Date: 05/27/2011
• Status: Active Grant

• Current Assignee: Oracle International Corporation (Oracle Corporation)
• Original Assignee: Oracle International Corporation (Oracle Corporation)
• Inventors: Gutlapalli, Hari Krishna, Mehta, Suhas R.
• Primary Examiner(s): LEWIS, CHERYL RENEA
• Application Number:
  US13/118,260
• Publication Number:
  US 20120303647A1
• Time in Patent Office: 1,054 Days
• Field of Search: 707/769, 707/791
• US Class Current: 707/769
• CPC Class Codes: G06Q 10/109 Time management, e.g. calendars, reminders, meetings or time accounting

Abstract

Disclosed is an improved approach for implementing an on-demand scheduler and the structures to support realtime on-demand schedulers. A lightweight word-based structure is disclosed for storing scheduling-related data. Using this lightweight word-based structure enables on-demand and real-time scheduling. This type of lightweight structure also permits scheduling activities to be performed in a disconnected mode, which can then be later synchronized with the server to confirm the booking. In addition to appointment scheduling, this technique can also be implemented for scheduling of any type of resource.

Claims

1. A method to implement scheduling that is performed with a processor, comprising:

identifying word-based data for analysis, wherein the word-based data is used to store information about a resource, where a bit in the word-based data correspond to an attribute about the resource relevant for scheduling;

analyzing the word-based data according to a search criteria to identify the resource as a candidate for scheduling; and

scheduling the resource by modifying the word-data.

2. The method of claim 1 in which the word-based data comprises a first portion to identify the resource, a second portion to identify a word type, and a third portion to hold information about attributes for the resource.

3. The method of claim 1 in which the resource is associated with multiple words, and in which each type of the multiple words stores different types of word-based data for the resource.

4. The method of claim 3 in which the type of the multiple words corresponds to a cost factor type, skill type, geographical coverage type, time slot type, vacation type, or break type.

5. The method of claim 1 in which the resource corresponds to personnel of an enterprise, and the scheduling is performed to make an appointment for the personnel.

6. The method of claim 1 in which the word-data is analyzed by analyzing the bit within the word-based data.

7. The method of claim 6 in which bit masks are used in conjunction with an XOR operation to analyze the word-based data.

8. The method of claim 1 in which scheduling analysis is performed on a mobile device.

9. The method of claim 1 in which scheduling analysis is performed in a server connected mode or in a client disconnected mode.

10. The method of claim 1 in which scheduling analysis is performed on-demand in real-time.

11. The method of claim 1 in which the word-based data provides data security because of the configuration of the word-based data.

12. A computer program product embodied on a non-transitory computer usable storage medium, the computer usable storage medium having stored thereon a sequence of instructions which, when executed by a processor causes the processor to execute a method to implement scheduling, the method comprising:

identifying word-based data for analysis, wherein the word-based data is used to store information about a resource, where a bit in the word-based data correspond to an attribute about the resource relevant for scheduling;

analyzing the word-based data according to a search criteria to identify the resource as a candidate for scheduling; and

scheduling the resource by modifying the word-data.

13. The computer program product of claim 12 in which the word-based data comprises a first portion to identify the resource, a second portion to identify a word type, and a third portion to hold information about attributes for the resource.

14. The computer program product of claim 12 in which the resource is associated with multiple words, and in which each type of the multiple words stores different types of word-based data for the resource.

15. The computer program product of claim 14 in which the type of the multiple words corresponds to a cost factor type, skill type, geographical coverage type, time slot type, vacation type, or break type.

16. The computer program product of claim 12 in which the resource corresponds to personnel of an enterprise, and the scheduling is performed to make an appointment for the personnel.

17. The computer program product of claim 12 in which the word-data is analyzed by analyzing the bit within the word-based data.

18. The computer program product of claim 17 in which bit masks are used in conjunction with an XOR operation to analyze the word-based data.

19. The computer program product of claim 12 in which scheduling analysis is performed on a mobile device.

20. The computer program product of claim 12 in which scheduling analysis is performed in a server connected mode or in a client disconnected mode.

21. The computer program product of claim 12 in which scheduling analysis is performed on-demand in real-time.

22. The computer program product of claim 12 in which the word-based data provides data security because of the configuration of the word-based data.

23. A computer-based system to implement scheduling, comprising:

a computer processor to execute a set of program code instructions;

a memory to hold the program code instructions, in which the program code instructions comprises program code to identify word-based data for analysis, wherein the word-based data is used to store information about a resource, where a bit in the word-based data corresponds to an attribute about the resource relevant for scheduling, analyze the word-based data according to a search criteria to identify the resource as a candidate for scheduling, and schedule the resource by modifying the word-data.

24. The system of claim 23 in which the word-based data comprises a first portion to identify the resource, a second portion to identify a word type, and a third portion to hold information about attributes for the resource.

25. The system of claim 23 in which the resource is associated with multiple words, and in which each type of the multiple words stores different types of word-based data for the resource.

26. The system of claim 25 in which the type of the multiple words corresponds to a cost factor type, skill type, geographical coverage type, time slot type, vacation type, or break type.

27. The system of claim 23 in which the resource corresponds to personnel of an enterprise, and the scheduling is performed to make an appointment for the personnel.

28. The system of claim 23 in which the program code instructions further comprises program code to analyze the word-data by analyzing the bit within the word-based data.

29. The system of claim 28 in which the program code instructions further comprises program code to use bit masks in conjunction with an XOR operation to analyze the word-based data.

30. The system of claim 23 in which the program code instructions further comprises program code to perform scheduling analysis on a mobile device.

31. The system of claim 23 in which the program code instructions further comprises program code to perform scheduling analysis in a server connected mode or in a client disconnected mode.

32. The system of claim 23 in which the program code instructions further comprises program code to perform scheduling analysis on-demand in real-time.

33. The system of claim 23 in which the word-based data provides data security because of the configuration of the word-based data.