Automatically selecting appropriate platform to run application in cloud computing environment

• US 9,088,479 B2
• Filed: 04/09/2013
• Issued: 07/21/2015
• Est. Priority Date: 01/24/2012
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Heninger, Ivan M., Hrischuk, Curtis, Ims, Steven D., Jones, Zachary H., Quirk, Aaron J.
• Primary Examiner(s): Shin, Kyung H
• Application Number:
  US13/859,212
• Publication Number:
  US 20130227132A1
• Time in Patent Office: 833 Days
• Field of Search: 702/186, 717/124, 717/120, 709/224
• US Class Current: 1/1
• CPC Class Codes: G06F 11/3409 for performance assessment
• CPC Class Codes: G06F 11/3419 by assessing time
• CPC Class Codes: G06F 11/3664 Environments for testing or debugging software
• CPC Class Codes: G06F 11/3688 for test execution, e.g. scheduling of test suites
• CPC Class Codes: G06F 8/71 Version control security arrangements therefor G06F21/57; Configuration management
• CPC Class Codes: G06F 9/5044 considering hardware capabilities
• CPC Class Codes: H04L 43/04 Processing captured monitoring data, e.g. for logfile generation
• CPC Class Codes: H04L 69/329 in the application layer [OSI layer 7]

Abstract

A method, system and computer program product for selecting an appropriate platform to run an application deployed in a cloud computing environment. The appropriate platform is selected by employing a two phase process, where the first phase occurs prior to the deployment of the application and the second phase occurs after the application has been deployed. In the first phase, the cloud computing node selects a platform using various factors, such as application binaries, application metadata and artifacts, and qualities of service and application requirements. In the second phase, the cloud computing node determines whether an alternative platform needs to be implemented for subsequent deployments of the application using various factors, such as application runtime metrics and garbage collection metrics. In this manner, an appropriate platform is automatically selected thereby removing the requirement for the user to indicate the type of platform for the target environment.

Claims

1. A method for selecting an appropriate platform to run an application deployed in a cloud computing environment, the method comprising:

receiving application binaries;

receiving qualities of service and application requirements;

analyzing said received application binaries;

analyzing said received qualities of service and application requirements; and

selecting, by a processor, a first platform to run said application to be deployed in said cloud computing environment based on said analyzing of said received application binaries and said analyzing of said received qualities of service and application requirements;

wherein application runtime metrics are used to validate said first platform selected to run said application, wherein a second platform is selected to run said application in response to said application runtime metrics indicating that said second platform would enable better performance.

2. The method as recited in claim 1 further comprising:

receiving application metadata and artifacts; and

analyzing said received application metadata and artifacts.

3. The method as recited in claim 2 further comprising:

selecting said first platform to run said application to be deployed in said cloud computing environment based on said analyzing of said received application binaries, said analyzing of said received qualities of service and application requirements and said analyzing of said received application metadata and artifacts.

4. The method as recited in claim 1 further comprising:

receiving said application runtime metrics and garbage collection metrics to validate said selection of said first platform.

5. The method as recited in claim 4 further comprising:

analyzing said garbage collection metrics;

analyzing native memory utilization; and

analyzing said qualities of service by correlating memory usage with said received application runtime metrics.

6. The method as recited in claim 5 further comprising:

selecting said second platform based on said analyzing of said garbage collection metrics, said analyzing of said native memory utilization and said analyzing of said qualities of service by correlating said memory usage with said received application runtime metrics.

7. The method as recited in claim 1, wherein said first platform is one of a 32-bit platform and a 64-bit platform.