Reserving services within a cloud computing environment

• US 8,615,584 B2
• Filed: 12/03/2009
• Issued: 12/24/2013
• Est. Priority Date: 12/03/2009
• Status: Active Grant

• Current Assignee: Kyndryl Incorporated (Kyndryl Holdings, Inc.)
• Original Assignee: International Business Machines Corporation
• Inventors: Dawson, Christopher J., Diluoffo, Vincenzo V., Kendzierski, Michael D., Seaman, James W.
• Primary Examiner(s): ALGIBHAH, HAMZA N
• Application Number:
  US12/630,561
• Publication Number:
  US 20110138051A1
• Time in Patent Office: 1,482 Days
• Field of Search: 709/226
• US Class Current: 709/226
• CPC Class Codes: G06F 9/5072 Grid computing
• CPC Class Codes: G06Q 10/02 Reservations, e.g. for tickets, services or events

Abstract

The present invention provides a solution for reserving Cloud services within a Cloud computing environment. Under the present invention, a customer/user can select a service for use sometime in the future. By scheduling in the future, the user can guarantee the service will be available for a specific price and set of service levels. One factor is that advanced reservation affects the cost of the service and the bounds by which the service levels of the service may change. The further in advance the job is scheduled, the tighter the bounds of the service level may be for a specific price. Advanced reservation may also guarantee execution on a preferred provider rather than being moved to a partner Cloud.

Claims

1. A method for reserving Cloud services within a Cloud computing environment, comprising:

receiving a request from a requester for reserving a Cloud service within the Cloud computing environment;

correlating at least one Cloud service provider capable of providing the Cloud service with an associated price and service level;

ranking the at least one Cloud service provider according to a set of factors, each of the set of factors being weighted with respect to one another based on at least one of;

user customization and historical data;

changing at least one of the associated price and service level based on a length of time the Cloud service is reserved in advance of a providing of the Cloud service;

recommending, based on historical data relating to cancelations by the requester, a time frame in which a reservation may be booked; and

booking a reservation of the Cloud service with a Cloud service provider within the recommended time frame based on the ranking.

2. The method of claim 1, the requester being a Cloud service usage estimator that estimates potential Cloud service needs based on least one of the following:

historical data, trending data, or subscription agreements between Cloud service users and Cloud service providers.

3. The method of claim 1, the requester being a user in need of the Cloud service.

4. The method of claim 3, the associated price and service level being based on a subscription agreement between the user and the at least one Cloud service provider.

5. The method of claim 3, further comprising returning a response to the user, the response identifying the Cloud service provider and its associated price and service level.

6. The method of claim 1, the weighted schema being based on needs of a requester requesting the Cloud service.

7. A service reservation manager for reserving Cloud services within a Cloud computing environment, comprising:

a memory medium comprising instructions;

a bus coupled to the memory medium;

a processor coupled to the bus that when executing the instructions causes the service reservation manager to;

receive a request from a requester for reserving a Cloud service within the Cloud computing environment;

correlate at least one Cloud service provider capable of providing the Cloud service with an associated price and service level;

rank the at least one Cloud service provider according to a set of factors, each of the set of factors being weighted with respect to one another based on at least one of;

user customization and historical data;

change at least one of the associated price and service level based on a length of time the Cloud service is reserved in advance of a providing of the Cloud service;

recommend, based on historical data relating to cancelations by the requester, a time frame in which a reservation may be booked;

book a reservation of the Cloud service with a Cloud service provider within the recommended time frame based on the ranking.

8. The service reservation manager of claim 7, the requester being a Cloud service usage estimator that estimates potential Cloud service needs based on least one of the following:

historical data, trending data, or subscription agreements between Cloud service users and Cloud service providers.

9. The service reservation manager of claim 7, the requester being a user in need of the Cloud service.

10. The service reservation manager of claim 9, the associated price and service level being based on a subscription agreement between the requester and the at least one Cloud service provider.

11. The service reservation manager of claim 9, the Cloud service manager being further caused to return a response to the user, the response identifying the Cloud service provider and its associated price and service level.

12. The service reservation manager of claim 7, the weighted schema being based on needs of a user requesting the Cloud service.

13. A computer readable storage medium containing a program product for reserving Cloud services within a Cloud computing environment, the computer readable medium comprising program code for causing a computer to:

receive a request from a requester for reserving a Cloud service within the Cloud computing environment;

correlate at least one Cloud service provider capable of providing the Cloud service with an associated price and service level;

rank the at least one Cloud service provider according to a set of factors, each of the set of factors being weighted with respect to one another based on at least one of;

user customization and historical data;

change at least one of the associated price and service level based on a length of time the Cloud service is reserved in advance of a providing of the Cloud service;

recommend, based on historical data relating to cancelations by the requester, a time frame in which a reservation may be booked; and

book the reservation of the Cloud service with a Cloud service provider within the recommended time frame based on the ranking.

14. The computer readable storage medium containing the program product of claim 13, the requester being a Cloud service usage estimator that estimates potential Cloud service needs based on least one of the following:

historical data, trending data, or subscription agreements between Cloud service users and Cloud service providers.

15. The computer readable storage medium containing the program product of claim 13, the requester being a user in need of the Cloud service.

16. The computer readable storage medium containing the program product of claim 15, the associated price and service level being based on a subscription agreement between the requester and the at least one Cloud service provider.

17. The computer readable storage medium containing the program product of claim 15, the computer readable medium further comprising program code for causing the computer to return a response to the user, the response identifying the Cloud service provider and its associated price and service level.

18. The computer readable storage medium containing the program product of claim 13, the weighted schema being based on needs of a user requesting the Cloud service.

19. A method for deploying a system for reserving Cloud services within a Cloud computing environment, comprising:

providing a computer infrastructure being operable to;

receive a request from a requester for reserving a Cloud service within the Cloud computing environment;

correlate at least one Cloud service provider capable of providing the Cloud service with an associated price and service level;

rank the at least one Cloud service provider according to a set of factors, each of the set of factors being weighted with respect to one another based on at least one of;

user customization and historical data;

change at least one of the associated price and service level based on a length of time the Cloud service is reserved in advance of a providing of the Cloud service;

recommend, based on historical data relating to cancelations by the requester, a time frame in which a reservation may be booked; and

make the reservation of the Cloud service with a Cloud service provider within the recommended time frame based on the ranking.