APPARATUS, SYSTEMS AND METHODS FOR DYNAMIC ADAPTIVE METRICS BASED APPLICATION DEPLOYMENT ON DISTRIBUTED INFRASTRUCTURES

• US 20120239739A1
• Filed: 06/05/2012
• Published: 09/20/2012
• Est. Priority Date: 02/09/2011
• Status: Active Grant

• Current Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Original Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Inventors: MANGLIK, GAURAV, FU, TIANYING
• Granted Patent: US 10,678,602 B2
• Time in Patent Office: Days
• US Class Current: 709/203
• CPC Class Codes: G06F 11/1438 Restarting or rejuvenating
• CPC Class Codes: G06F 11/3409 for performance assessment
• CPC Class Codes: G06F 2201/815 Virtual
• CPC Class Codes: G06F 8/61 Installation
• CPC Class Codes: G06F 9/5077 Logical partitioning of resources; Management or configuration of virtualized resources specific details on emulation or internal functioning of virtual machines G06F9/455

Abstract

Embodiments of apparatus, systems and methods facilitate the adaptive deployment of a distributed computing application on at least one selected cloud configuration from a plurality of cloud configurations based on dynamically obtained and/or compiled metrics pertaining to the cloud configurations and to the distributed computing application and/or user specified criteria pertaining to the metrics. In some embodiments, an infrastructure independent representation of the distributed computing application is adapted to the selected cloud configuration and run on the selected cloud configuration by utilizing a cloud-specific implementation of the infrastructure independent representation of the distributed computing application. The cloud-specific implementation of the infrastructure independent representation corresponds to the cloud infrastructure on which the distributed application is run.

Claims

1. A processor-implemented method for selecting at least one of a plurality of cloud configurations to adaptively deploy at least one distributed computing application, the processor implemented method comprising:

dynamically obtaining metrics information from a subset of the plurality of the cloud configurations, wherein the metrics information comprises real time metrics information for the subset; and

selecting at least one of the plurality of cloud configurations based on at least one of;

the dynamically obtained real time metrics information for the subset, or compiled metrics information for the plurality of cloud configurations, or calculated metrics for the plurality of cloud configurations, wherein the

calculated metrics are based in part on the dynamically obtained real time metrics information for the subset and the compiled metrics information for the plurality of cloud configurations.

2. The processor-implemented method of claim 1, further comprising:

adaptively deploying the at least one distributed computing application on the selected cloud configuration by utilizing a cloud-specific implementation of an infrastructure independent representation of the distributed computing application, wherein the cloud-specific implementation corresponds to the selected cloud configuration.

3. The processor-implemented method of claim 1, wherein selecting at least one of the plurality of cloud configurations is based further on user-specified criteria pertaining to metrics for the plurality of cloud configurations and wherein the user-specified criteria are used to filter the selected cloud configurations.

4. The processor-implemented method of claim 1, wherein the calculated metrics for the plurality of cloud configurations comprise a price-performance metric for the plurality of cloud configurations, wherein the price-performance metric information is based in part on:

real time pricing information for the subset, wherein the dynamically obtained real time metrics information comprises the real time pricing information, and

pricing information for the plurality of cloud configurations and performance information pertaining to the distributed application on the plurality of cloud configurations comprised in the compiled metrics information for the plurality of cloud configurations.

5. The processor-implemented method of claim 4, wherein the dynamically obtained real time pricing information for the subset is used instead of compiled pricing information pertaining to the subset in the calculation of the price-performance metric for the subset of cloud configurations.

6. The processor-implemented method of claim 4, wherein the compiled metrics information for the plurality of cloud configurations further comprises latency information pertaining to the at least one distributed application and the calculated price performance metric for each cloud configuration is a Price-Performance index (PPI) calculated as

7. The processor-implemented method of claim 6, wherein the dynamically obtained real time metrics information for the subset includes real time latency information pertaining to the at least one distributed application, and the real time latency information is used to update compiled metrics information for the subset.

8. The processor-implemented method of claim 6, wherein the PPI is normalized based on data size.

9. The processor-implemented method of claim 1, wherein the dynamically obtained real time metrics information for the subset is used to update the compiled metrics information for the subset.

10. The processor-implemented method of claim 1, wherein the adaptive deployment of the at least one distributed computing application on the selected cloud configuration is performed based on a user response to a recommendation of cloud configurations.

11. The processor-implemented method of claim 1, wherein the plurality of cloud configurations includes configurations on one or more of Amazon EC2, Terremark vCloud, Rackspace Cloudserver, Microsoft Azure, Savvis, or private clusters.

13. The system of claim 11, wherein the processor adaptively deploys the at least one distributed computing application on the selected cloud configuration by utilizing a cloud-specific implementation of an infrastructure independent representation of the distributed computing application, the cloud-specific implementation corresponding to the selected cloud configuration.

14. The system of claim 11, wherein the processor filters the selected cloud configurations based on user-specified criteria pertaining to metrics for the plurality of cloud configurations.

15. The system of claim 11, wherein the calculated metrics for the plurality of cloud configurations comprise a price-performance metric for the plurality of cloud configurations, wherein the price-performance metric information is based in part on:

real time pricing information for the subset, wherein the dynamically obtained real time metrics information comprises the real time pricing information, and

pricing information for the plurality of cloud configurations and performance information pertaining to the distributed application on the plurality of cloud configurations comprised in the compiled metrics information for the plurality of cloud configurations.

16. The system of claim 14, wherein the dynamically obtained real time pricing information for the subset is used instead of compiled pricing information pertaining to the subset in the calculation of the price-performance metric for the subset of cloud configurations.

17. The system of claim 14, wherein the compiled metrics information for the plurality of cloud configurations further comprises latency information pertaining to the at least one distributed application and the calculated price performance metric for each cloud configuration is a Price-Performance index (PPI) calculated as

18. The system of claim 16, wherein the dynamically obtained real time metrics information for the subset includes real time latency information pertaining to the at least one distributed application, and the real time latency information is used to update compiled metrics information for the subset.

19. The system of claim 16, wherein the processor selects at least one of the plurality of cloud configurations to adaptively deploy the at least one distributed computing application by using at least one of a configurable sequence of adaptors, wherein the adaptors perform operations on one or more of the dynamically obtained real time metrics, the compiled metrics, or the calculated metrics.

20. The system of claim 19 wherein the at least one adaptor receives a portion of the dynamically updated real time metrics information, and based on the configuration of the at least one adaptor:

optionally updates the compiled metrics information, and

optionally updates the calculated metrics information,

wherein the optional updates are performed by the adaptor using the received dynamically updated real time metrics information.

12. A system comprising:

a plurality of cloud configurations capable of running at least one distributed computing application,

a processor capable of dynamically obtaining metrics information from a subset of the plurality of the cloud configurations, wherein the metrics information comprises real time metrics information for the subset, and

a database coupled to the processor, wherein the database comprises compiled metrics information for the plurality of cloud configurations, and, wherein,

the processor selects at least one of the plurality of cloud configurations to adaptively deploy the at least one distributed computing application based on at least one of;

the dynamically obtained real time metrics information for the subset, or compiled metrics information for the plurality of cloud configurations, or calculated metrics for the plurality of cloud configurations, wherein the

calculated metrics are based in part on the dynamically obtained real time metrics information for the subset and the compiled metrics information for the plurality of cloud configurations.

21. A non-transitory computer readable medium comprising instructions, which when executed by a processor perform steps in a method for selecting at least one of a plurality of cloud configurations to adaptively deploy at least one distributed computing application, the steps comprising:

dynamically obtaining metrics information from a subset of the plurality of the cloud configurations, wherein the metrics information comprises real time metrics information for the subset; and

selecting at least one of the plurality of cloud configurations based on at least one of;

the dynamically obtained real time metrics information for the subset, or compiled metrics information for the plurality of cloud configurations, or calculated metrics for the plurality of cloud configurations, wherein the

calculated metrics are based in part on the dynamically obtained real time metrics information for the subset and the compiled metrics information for the plurality of cloud configurations.

22. The non-transitory computer readable medium of claim 21, further comprising the step of:

adaptively deploying the at least one distributed computing application on the selected cloud configuration by utilizing a cloud-specific implementation of an infrastructure independent representation of the distributed computing application, wherein the cloud-specific implementation corresponds to the selected cloud configuration.

23. The non-transitory computer readable medium of claim 21, wherein the calculated metrics for the plurality of cloud configurations comprise a price-performance metric for the plurality of cloud configurations, wherein the price-performance metric information is based in part on:

real time pricing information for the subset, wherein the dynamically obtained real time metrics information comprises the real time pricing information, and

pricing information for the plurality of cloud configurations and performance information pertaining to the distributed application on the plurality of cloud configurations comprised in the compiled metrics information for the plurality of cloud configurations.