SYSTEM AND METHOD FOR OBJECT MIGRATION USING WAVES

• US 20110213883A1
• Filed: 02/26/2010
• Published: 09/01/2011
• Est. Priority Date: 02/26/2010
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Taylor, Bruce G., Caswell, Ronda L., Willingham, Tylon O., Tacci, Michael, Baker, John K., Lee, Steve N., Athey, Richard Keith, Markley, Matthew A., Pfitzmann, Birgit
• Granted Patent: US 9,141,919 B2
• Time in Patent Office: Days
• US Class Current: 709/226
• CPC Class Codes: G06F 16/214 Database migration support
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

Abstract

A system and method for information technology (IT) migration includes determining a relationship among objects to be migrated such that the relationship includes a set of objects having at least one of a common feature or dependency between the objects in the set. The objects are grouped into a plurality of migration waves such that cross-wave relationships are minimized among the plurality of migration waves. The objects are migrated wave by wave.

Claims

1. A method for information technology (IT) migration, comprising:

determining a relationship among objects to be migrated such that the relationship includes a set of objects having at least one common feature or dependency between the objects in the set;

grouping the objects into a plurality of migration waves such that cross-wave relationships are minimized among the plurality of migration waves; and

migrating the objects wave by wave.

2. The method as recited in claim 1, wherein determining a relationship includes employing at least one of a direct dependency, a common attribute, a common application and a common location among the objects.

3. The method as recited in claim 1, wherein determining a relationship includes excluding a dependency type to assist in the grouping of the objects.

4. The method as recited in claim 1, wherein the objects include at least one of software applications, middleware, and a workload on a computer.

5. The method as recited in claim 1 wherein determining the relationship includes employing one or more of network observation, observation of network statistics on computers, observation of and analyzing dependency configurations of the objects and underlying communication software stack, and analysis of application log files to identify the relationship.

6. The method as recited in claim 1, wherein determining the relationship includes employing dependencies input by a user.

7. The method as recited in claim 1, wherein determining the relationship includes determining wave-relevant attributes of the objects, and wherein grouping the objects includes placing the objects with a same wave-relevant attribute in a same wave.

8. The method as recited in claim 7, wherein the wave-relevant attributes include one or more of a business application, a business owner, a datacenter location, and a characteristic of a server platform.

9. The method as recited in claim 7, further comprising:

graphically displaying the wave-relevant attributes where similar indicia indicate similar attributes; and

selecting or deselecting the wave-relevant attributes to assist in determining the objects to be included or excluded from groupings of the objects.

10. The method as recited in claim 1, further comprising:

graphically displaying dependencies between the objects; and

selecting or deselecting the dependencies or types of dependencies to assist in determining the objects to be included or excluded from groupings of the objects.

11. The method as recited in claim 1, further comprising weighting the relationships to bias groupings of the objects.

13. A computer readable storage medium comprising a computer readable program for information technology (IT) migration, wherein the computer readable program when executed on a computer causes the computer to perform the steps of:

determining a relationship among objects to be migrated such that the relationship includes a set of objects having at least one common feature or dependency between the objects in the set;

grouping the objects into a plurality of migration waves such that cross-wave relationships are minimized among the plurality of migration waves; and

migrating the objects wave by wave.

12. The method as recited in claim 13, wherein grouping the objects includes creating one of a directed graph and a multi-graph, and solving a graph partitioning problem.

14. The computer readable storage medium as recited in claim 13, wherein determining a relationship includes employing at least one of a direct dependency, a common attribute, a common application and a common location among the objects.

15. The computer readable storage medium as recited in claim 13, wherein determining a relationship includes excluding a dependency type to assist in the grouping of the objects.

16. The computer readable storage medium as recited in claim 13, wherein the objects include at least one of software applications, middleware, and a workload on a computer.

17. The computer readable storage medium as recited in claim 13, wherein determining the relationship includes employing one or more of network observation, observation of network statistics on computers, observation of and analyzing dependency configurations of the objects and underlying communication software stack, and analysis of application log files to identify the relationship.

18. The computer readable storage medium as recited in claim 13, wherein determining the relationship includes employing dependencies input by a user.

19. The computer readable storage medium as recited in claim 13, wherein determining the relationship includes determining wave-relevant attributes of the objects, and wherein grouping the objects includes placing the objects with a same wave-relevant attribute in a same wave.

20. The computer readable storage medium as recited in claim 19, wherein the wave-relevant attributes include one or more of a business application, a business owner, a datacenter location, and a characteristic of a server platform.

21. The computer readable storage medium as recited in claim 19, further comprising:

graphically displaying the wave-relevant attributes where similar indicia indicate similar attributes; and

selecting or deselecting the wave-relevant attributes to assist in determining the objects to be included or excluded from groupings of the objects.

22. The computer readable storage medium as recited in claim 13, further comprising:

graphically displaying dependencies between the objects; and

selecting or deselecting the dependencies or types of dependencies to assist in determining the objects to be included or excluded from groupings of the objects.

23. The computer readable storage medium as recited in claim 13, further comprising weighting the relationships to bias groupings of the objects.

24. The computer readable storage medium as recited in claim 13, wherein grouping the objects includes creating one of a directed graph and a multi-graph, and solving a graph partitioning problem.