System for estimating processing requirements

• US 20050228875A1
• Filed: 07/23/2004
• Published: 10/13/2005
• Est. Priority Date: 04/13/2004
• Status: Abandoned Application

• Current Assignee: Siemens Medical Solutions Health Services Corporation (Siemens AG)
• Original Assignee: Siemens Medical Solutions Health Services Corporation (Siemens AG)
• Inventors: Gouda, Bhanu, Monitzer, Arnold
• Application Number:
  US10/897,924
• Publication Number:
  US 20050228875A1
• Time in Patent Office: Days
• US Class Current: 709/221
• CPC Class Codes: H04L 67/1001 for accessing one among a plurality of replicated servers
• CPC Class Codes: H04L 67/1008 based on parameters of servers, e.g. available memory or workload monitoring of computer activity G06F11/30
• CPC Class Codes: H04L 67/1012 based on compliance of requirements or conditions with available server resources
• CPC Class Codes: H04L 67/1029 using data related to the state of servers by a load balancer
• CPC Class Codes: H04L 67/1031 Controlling of the operation of servers by a load balancer, e.g. adding or removing servers that serve requests
• CPC Class Codes: H04L 67/306 User profiles

Abstract

An application estimates sizing information and capacity limits for a processing system configuration using load data automatically provided by a load determination application. A system supports selection of processing devices for a particular user. At least one repository includes, usage information indicating distribution of usage of a plurality of functions supported by a particular configuration of processing devices and capacity information including data identifying a load limit associated with a particular usage distribution and a particular configuration of processing devices. An interface processor retrieves, from the at least one repository, data identifying a candidate particular configuration of processing devices in response to received data indicating a particular usage distribution.

Claims

1. A system supporting selection of processing devices for a particular user, comprising:

at least one repository including,

usage information indicating distribution of usage of a plurality of functions supported by a particular configuration of processing devices and

capacity information including data identifying a load limit associated with a particular usage distribution and a particular configuration of processing devices; and

an interface processor for retrieving, from said at least one repository, data for use in identifying a candidate particular configuration of processing devices in response to received data indicating a particular usage distribution.

2. A system according to claim 1, including

a communication processor for automatically receiving said capacity information and storing said capacity information in said at least one repository.

3. A system according to claim 1, wherein

said interface processor retrieves, from said at least one repository, data identifying a candidate particular configuration of processing devices in response to received data indicating a load limit.

4. A system according to claim 3, wherein

said load limit comprises at least one of, (a) a number of concurrent users, (b) number of users of a particular executable application, (b) a number of users of a particular processing device, (c) a bandwidth limitation, (d) a signal latency duration, (e) a CPU resource utilization and (f) a system response time duration.

5. A system according to claim 1, wherein

a particular usage distribution indicates relative usage of, at least one of, (a) a plurality of executable applications and (b) a plurality of features of a particular executable application.

6. A system according to claim 1, wherein

a particular usage distribution indicates relative usage as at least one of, (a) a proportion of a total usage and (b) a percentage of a total usage

7. A system according to claim 1, wherein

said at least one repository includes

topology information indicating a network arrangement of said devices of said particular configuration of processing devices.

8. A system according to claim 1, wherein

said at least one repository includes performance information associated with said particular configuration of processing devices and

said capacity information is determined for said particular configuration of processing devices in response to said performance information.

9. A system according to claim 8, wherein

said performance information comprises at least one of, (a) a signal latency duration, (b) a CPU resource utilization, (c) a system response time duration and (d) memory resource utilization.

10. A system according to claim 1, including

a test unit for acquiring capacity information by,

selecting a particular configuration of processing devices,

selecting a particular usage distribution comprising a relative usage of a plurality of functions supported by said particular configuration of processing devices,

increasing loading on said particular configuration of processing devices consistent with said selected particular usage distribution and

deriving a capacity limit for said particular configuration of processing devices in response to detecting a loading corresponding to impairment of a predetermined performance criterion threshold.

11. A system according to claim 1, wherein

said at least one repository includes price data associated with said particular configuration of processing devices and including

a price estimator for using said price data for generating price information for said candidate particular configuration of processing devices.

12. A system for acquiring capacity information for a particular configuration of processing devices, comprising:

a user interface enabling a user to,

select a particular configuration of processing devices and

select a particular usage distribution comprising a relative usage of a plurality of functions supported by said particular configuration of processing devices;

a load unit for increasing loading on said particular configuration of processing devices and

a data analyzer for deriving a capacity limit for said particular configuration of processing devices in response to detecting a loading corresponding to impairment of a predetermined performance criterion threshold.

13. A system supporting selection of processing devices for a particular user, comprising:

at least one repository including,

usage profile information including a plurality of different profiles individually indicating relative usage of a plurality of functions supported by a particular configuration of processing devices and

capacity information including data identifying a load limit associated with a particular usage profile and a particular configuration of processing devices; and

an interface processor for identifying a candidate particular configuration of processing devices in response to received data indicating a usage profile.

14. A system according to claim 13, wherein

an individual usage profile indicates relative usage of, at least one of, (a) a plurality of executable applications and (b) a plurality of features of a particular executable application.

15. A system supporting selection of processing devices for a particular user, comprising:

at least one repository including,

usage information indicating distribution of usage of a plurality of functions supported by a particular configuration of processing devices,

performance information associated with a particular configuration of processing devices and

capacity information including data identifying a load limit associated with a particular usage distribution and a particular configuration of processing devices; and

a data processor for using said at least one repository determining said capacity information for a particular configuration of processing devices in response to detecting a loading corresponding to impairment of a predetermined performance criterion threshold.

16. A system according to claim 15, including

an interface processor for identifying a candidate particular configuration of processing devices in response to received data indicating a particular usage distribution.

17. A method for selecting processing devices for a particular user, comprising the activities of:

acquiring usage information indicating distribution of usage of a plurality of functions supported by a particular configuration of processing devices;

storing capacity information including data identifying a load limit associated with a particular usage distribution and a particular configuration of processing devices; and

selecting a candidate particular configuration of processing devices using said capacity information in response to received data indicating a particular usage distribution.

18. A method for acquiring capacity information for a particular configuration of processing devices, comprising the activities of:

initiating selection of a particular configuration of processing devices;

initiating selection of a particular usage distribution comprising a relative usage of a plurality of functions supported by said particular configuration of processing devices;

increasing loading on said particular configuration of processing devices compatible with said selected particular usage distribution; and

deriving a capacity limit for said particular configuration of processing devices in response to detecting a loading corresponding to impairment of a predetermined performance criterion threshold.

19. A method for selecting processing devices for a particular user, comprising the activities of:

acquiring usage profile information including a plurality of different profiles individually indicating relative usage of a plurality of functions supported by a particular configuration of processing devices and

acquiring capacity information including data identifying a load limit associated with a particular usage profile and a particular configuration of processing devices; and

identifying a candidate particular configuration of processing devices in response to received data indicating a particular usage profile.

20. A method for selecting processing devices for a particular user, comprising the activities of:

acquiring usage information indicating distribution of usage of a plurality of functions supported by a particular configuration of processing devices;

acquiring performance information associated with a particular configuration of processing devices;

acquiring load capacity information including data identifying a load limit associated with a particular usage distribution and a particular configuration of processing devices; and

determining said capacity information for a particular configuration of processing devices in response to detecting a loading corresponding to impairment of a predetermined performance criterion threshold.