MAINTAINING APPLICATION PERFORMANCES UPON TRANSFER BETWEEN CLOUD SERVICES

• US 20130332588A1
• Filed: 02/06/2012
• Published: 12/12/2013
• Est. Priority Date: 02/06/2012
• Status: Active Grant

• Current Assignee: Empire Technology Development LLC (Allied Inventors Management, LLC)
• Original Assignee: Empire Technology Development LLC (Allied Inventors Management, LLC)
• Inventors: Maytal, Benjamin, Meir, Noam
• Granted Patent: US 9,166,890 B2
• Time in Patent Office: Days
• US Class Current: 709/223
• CPC Class Codes: G06F 11/3428 Benchmarking
• CPC Class Codes: G06F 11/3447 Performance evaluation by modeling
• CPC Class Codes: G06F 2209/508 Monitor
• CPC Class Codes: G06F 9/4856 resumption being on a different machine, e.g. task migration, virtual machine migration G06F9/5088 takes precedence
• CPC Class Codes: G06F 9/5072 Grid computing
• CPC Class Codes: H04L 41/18 Delegation of network management function, e.g. customer network management [CNM]

Abstract

Technologies are presented for tracking of used resources and ensuring a similar level of computing resources to be provided at a new cloud-based service provider for a migrating application, even if the new service provider has a different mix of resources. Computing resources in use by the migrating application and a level of used computing power may be identified. Each of the computing resources may be assigned a score according to an associated service level. An overall score generated as a weighted combination of the individual scores according to their influence on application processing and networking status may be used for comparison of service levels between an existing service provider and the new service provider to ensure the migrating application receives a similar performance level. Additionally, the individual and overall scores may be employed by the new service provider to properly allocate its resources to provide similar performance level.

Claims

1. A method for maintaining application performances upon transfer between cloud computing environments, the method comprising:

determining a plurality of performance metrics associated with a customer application in a source cloud computing environment;

computing a plurality of performance parameters based on the performance metrics associated with the customer application in the source cloud computing environment;

combining the plurality of performance parameters to a source Cloud Computing Applicability Score (CCAS) in a weighted manner; and

adapting a target cloud computing environment for the customer application based on the source CCAS.

2. The method according to claim 1, wherein the performance metrics include a processing power metric, a memory metric, and a networking metric.

3. The method according to claim 2, further comprising:

computing the processing power metric based on an actual processing power consumed by the customer application as a fraction of available processing power.

4. The method according to claim 3, wherein the processing power metric is further based on one or more of a type of processing, a scheduler priority, and a number of tasks being executed simultaneously.

5. The method according to claim 4, wherein the processing power metric is averaged over a predefined period.

6. The method according to claim 3, further comprising:

computing the memory metric based on a weighted combination of allocated memory types for the customer application, wherein the memory types include one or more of a main memory, a flash memory, a local memory, and a network memory.

7. The method according to claim 6, wherein the allocated memory types represent an actual allocation at the source cloud computing environment averaged over a predefined period.

8. The method according to claim 6, wherein faster memory types are assigned higher weighting values relative to slower memory types.

9-20. -20. (canceled)

21. A computing device for maintaining application performances upon transfer between cloud computing environments, the computing device comprising:

a memory configured to store instructions; and

a processing unit configured to execute a migration module in conjunction with the instructions, wherein the migration module is configured to;

determine a plurality of performance metrics associated with a customer application in a source cloud computing environment;

compute a plurality of performance parameters based on the performance metrics associated with the customer application in the source cloud computing environment;

combine the plurality of performance parameters to a source Cloud Computing Applicability Score (CCAS) in a weighted manner; and

adapt a target cloud computing environment for the customer application based on the source CCAS.

31. The computing device according to claim 21, wherein the migration module is configured to select the target cloud computing environment by:

determining a plurality of performance metrics associated with the customer application in the target cloud computing environment;

computing a plurality of performance parameters based on the performance metrics associated with the customer application in the target cloud computing environment;

combining the plurality of performance parameters to a target CCAS in a weighted manner; and

comparing the source CCAS and the target CCAS.

32. The computing device according to claim 31, wherein the performance metrics in the target cloud computing environment are determined based on a simulation.

33. The computing device according to claim 31, wherein the performance parameters in the source and target cloud computing environments further include a reliability parameter representing a reliability factor associated with each environment.

34. The computing device according to claim 31, wherein the performance metrics in the target cloud computing environment are weighted based on customer desired performance at the target cloud computing environment.

35. The computing device according to claim 31, wherein the migration module is further configured to:

compute the target CCAS following a migration of the customer application to the target cloud computing environment to verify performance at the target cloud computing environment.

36. The computing device according to claim 31, wherein the migration module is further configured to:

compute the target CCAS for a plurality of target cloud computing environments; and

provide the customer with a plurality of candidate cloud computing environment offers.

37. The computing device according to claim 31, wherein the migration module is further configured to:

compute the target CCAS for a plurality of target cloud computing environment configurations based on distinct weighting factors; and

provide the customer with a plurality of target cloud computing environment package offers.

22-30. -30. (canceled)

38-40. -40. (canceled)

41. A computer-readable storage medium having instructions stored thereon for maintaining application performances upon transfer between cloud computing environments, the instructions comprising:

determining a plurality of performance metrics associated with a customer application in a source cloud computing environment;

computing a plurality of performance parameters based on the performance metrics associated with the customer application in the source cloud computing environment;

combining the plurality of performance parameters to a source Cloud Computing Applicability Score (CCAS) in a weighted manner; and

adapting a target cloud computing environment for the customer application based on the source CCAS.

42. The computer-readable storage according to claim 41, wherein the performance metrics include a processing power metric, a memory metric, and a networking metric.

58. The computer-readable storage according to claim 41, wherein the performance metrics are determined for a plurality of customer applications and the weighting is determined based on individual customer applications.

59. The computer-readable storage according to claim 41, wherein the instructions further comprise:

normalizing the performance parameters.

60. The computer-readable storage according to claim 59, wherein the performance parameters are normalized as a percentage.

43-57. -57. (canceled)