CLOUD SERVICE OPTIMIZATION FOR COST, PERFORMANCE AND CONFIGURATION

• US 20140278807A1
• Filed: 03/14/2014
• Published: 09/18/2014
• Est. Priority Date: 03/15/2013
• Status: Abandoned Application

• Current Assignee: Cloudamize, Inc (Atos Se)
• Original Assignee: Cloudamize, Inc (Atos Se)
• Inventors: Bohacek, Khushboo
• Application Number:
  US14/214,042
• Publication Number:
  US 20140278807A1
• Time in Patent Office: Days
• US Class Current: 705/7.35
• CPC Class Codes: G06Q 30/0206 Price or cost determination based on market factors

Abstract

Described embodiments provide for a cloud computing system with cloud services provided by several cloud service providers. Cloud service data is collected from sensors within each cloud service provider'"'"'s service, and system models are developed based on the collected cloud service data. The user provides configuration data that is related to performance and cost objectives for the cloud computing system. Performance and cost predictions for the cloud computing system are generated based on the system models and the user configuration data; and then processed to provide a set of attributes and parameters for the cloud computing system. The set of attributes and parameters for the cloud computing system are presented to the user for selection. Based on the set of attributes and parameters, the cloud computing system operates by employing selected attributes and parameters from within a set of differing cloud service providers.

Claims

1. A method of managing and designing a cloud computing system of a user with cloud services provided by a plurality of cloud service providers, the method comprising:

collecting cloud service data from sensors within each cloud service of a corresponding cloud service provider, or collecting data from sensors within a non-cloud datacenter;

developing one or more system models based on the collected data;

receiving user configuration data for the cloud computing system, the configuration data related to performance and cost objectives of the user;

generating performance and cost predictions for the cloud computing system based on the one or more system models and the user configuration data;

processing the performance and cost predictions to provide a set of attributes and parameters for the cloud computing system; and

presenting the set of attributes and parameters for the cloud computing system to the user for selection,

wherein, based on the set of attributes and parameters, the cloud computing system operates by employing selected attributes and parameters from within a set of differing cloud service providers.

2. The method according to claim 1, comprising:

receiving adjusted user configuration data for the cloud computing system, the configuration data related to performance and cost objectives of the user;

updating i) the performance and cost predictions for the cloud computing system and ii) the performance and cost predictions to provide an updated set of attributes and parameters;

presenting the updated set of attributes and parameters for the cloud computing system to the user for selection.

3. The method according to claim 2, wherein the adjusted user configuration data for the cloud computing system includes future variations in usage and demand of the cloud services provided by a plurality of cloud service providers.

4. The method according to claim 2, wherein the adjusted user configuration data for the cloud computing system includes future variations in usage and demand of the cloud services provided by a plurality of cloud service providers, the method comprising extrapolating current usage and demand of the cloud services.

5. The method according to claim 2, wherein the generating the performance and cost predictions for the cloud computing system based on the one or more system models and the user configuration data includes generating an expected usage and demand, and accounting for variations in the usage and the demand.

6. The method according to claim 2, wherein, for the generating the performance and cost predictions for the cloud computing system, the processing of the performance and cost predictions provides the set of attributes and parameters for the cloud computing system meeting the performance and cost objectives of the user.

7. The method according to claim 2, wherein, for the generating the performance and cost predictions for the cloud computing system, the performance predictions are based on business metrics.

8. The method according to claim 7, wherein the business metrics include http response time.

9. The method according to claim 1, wherein:

repeating the developing, the receiving, the generating, the processing and the presenting; and

the presenting further comprises providing a comparison of the performance and cost predictions in each repetition.

10. The method according to claim 9, comprising selecting, by the user, the set of attributes and parameters for the cloud computing system based on the comparison.

11. The method according to claim 9, comprising selecting, by the user, the set of attributes and parameters for the cloud computing system based on the comparison, wherein the comparison is of predicted revenue and cost.

12. The method according to claim 9, comprising selecting, by the user, the set of attributes and parameters for the cloud computing system based on the comparison, wherein the comparison is of configurations illustrating trade-off in operating performance and operating cost of the cloud computing system when in operation with the selected attributes and parameters from within a set of differing cloud service providers.

13. The method according to claim 1, wherein, for the collecting cloud service data from the sensors:

receiving the non-cloud service data from a datacenter, the cloud service data representing simulated cloud service operating attributes and parameters.

14. The method according to claim 1, wherein, the presenting the set of attributes and parameters for the cloud computing system to the user presents via a graphic interface.

15. The method according to claim 14, comprising:

receiving, via the graphic interface, adjusted user configuration data for the cloud computing system, the configuration data related to performance and cost objectives of the user;

updating i) the performance and cost predictions for the cloud computing system and ii) the performance and cost predictions to provide an updated set of attributes and parameters;

presenting the updated set of attributes and parameters for the cloud computing system to the user for selection via the graphic interface.

16. The method according to claim 1, comprising the step of monitoring whether the cloud computing system, when operating, meets the performance and cost objectives of the user.

17. The method according to claim 16, comprising alerting the user if the cloud computing system, when operating, does not meet the performance and cost objectives of the user.

18. The method according to claim 16, comprising:

monitoring whether the cloud computing system can operate with less cost than in a current operation and meet the performance and cost objectives of the user ; and

if so, altering components, and the selected attributes and parameters from within a set of differing cloud service providers, to operate the cloud computing system with less cost.

19. A non-transitory machine-readable storage medium, having encoded thereon program code, wherein, when the program code is executed by a machine, the machine implements a method of managing a cloud computing system of a user with cloud services provided by a plurality of cloud service providers the method comprising:

collecting cloud service data from sensors within each cloud service by a corresponding cloud service provider;

developing one or more system models based on the collected cloud service data;

receiving user configuration data for the cloud computing system, the configuration data related to performance and cost objectives of the user;

generating performance and cost predictions for the cloud computing system based on the one or more system models and the user configuration data;

processing the performance and cost predictions to provide a set of attributes and parameters for the cloud computing system; and

presenting the set of attributes and parameters for the cloud computing system to the user for selection,

wherein, based on the set of attributes and parameters, the cloud computing system operates by employing selected attributes and parameters within a set of differing cloud service providers.

20. A prediction system for modeling the performance of a network-based computing system, the network-based computing system comprising one or more network nodes and receiving cloud services provided by a plurality of cloud service providers, the prediction system comprising:

a processor coupled to a network comprising the one or more network nodes and adapted to receive configuration data from a user for the cloud computing system, the configuration data related to performance and cost objectives of the user, through an input/output (I/O) interface; and

one or more sensors configured to collect cloud service data from each cloud service of a corresponding cloud service provider,

wherein the processor is configured to;

(i) develop one or more system models based on the collected cloud service data,

(ii) generate performance and cost predictions for the cloud computing system based on the one or more system models and the user configuration data,

(iii) process the performance and cost predictions to provide a set of attributes and parameters for the cloud computing system, and

(iv) present the set of attributes and parameters for the cloud computing system to the user for selection, and

wherein, based on the set of attributes and parameters, the network-based computing system operates with selected attributes and parameters within a set of differing cloud service providers.