Execution Environment with Feedback Loop

• US 20130080760A1
• Filed: 08/10/2012
• Published: 03/28/2013
• Est. Priority Date: 08/10/2012
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Concurix Corporation
• Inventors: Li, Ying, Gounares, Alexander G., Garrett, Charles D.
• Application Number:
  US13/571,540
• Publication Number:
  US 20130080760A1
• Time in Patent Office: Days
• US Class Current: 713/100
• CPC Class Codes: G06F 11/3409 for performance assessment
• CPC Class Codes: G06F 11/3442 for planning or managing the needed capacity
• CPC Class Codes: G06F 11/3447 Performance evaluation by modeling
• CPC Class Codes: G06F 11/3466 Performance evaluation by tracing or monitoring
• CPC Class Codes: G06F 2201/865 Monitoring of software
• CPC Class Codes: Y02D 10/00 Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

An execution environment may have a monitoring, analysis, and feedback loop that may configure and tune the execution environment for currently executing workloads. A monitoring or instrumentation system may collect operational and performance data from hardware and software components within the system. A modeling system may create an operational model of the execution environment, then may determine different sets of parameters for the execution environment. A feedback loop may change various operational characteristics of the execution environment. The monitoring, analysis, and feedback loop may optimize the performance of a computer system for various metrics, including throughput, performance, energy conservation, or other metrics based on the applications that are currently executing. The performance model of the execution environment may be persisted and applied to new applications to optimize the performance of applications that have not been executed on the system.

Claims

1. A method performed on a computer processor, said method comprising:

receiving observations from an execution environment;

creating a performance model from said observations, said performance model being a mathematical function comprising a set of parameters, said set of parameters comprising at least a subset of said observations;

analyzing said performance model to determine a set of configuration parameters for said execution environment; and

changing said execution environment with said set of configuration parameters while said execution environment is executing.

2. The method of claim 1, said method being performed on a first computer while said execution environment executes on a second computer.

3. The method of claim 1, said method being performed on a first computer while said execution environment executes on said first computer.

4. The method of claim 1 further comprising:

changing said execution environment by;

creating a new module for said execution environment; and

replacing an existing module in said execution environment with said new module.

5. The method of claim 4, said new module being created by compiling said new module using at least a portion of said set of configuration parameters.

6. The method of claim 5, said replacing said existing module being performed without halting said execution environment.

7. The method of claim 1, said configuration parameters comprising process scheduler parameters.

8. The method of claim 1, said configuration parameters comprising interrupt handling parameters.

9. The method of claim 1, said configuration parameters comprising memory management parameters.

10. The method of claim 1, said performance data comprising:

memory usage data;

computational performance data; and

peripheral device performance data.

11. The method of claim 1, said execution environment being a virtual machine.

12. The method of claim 11, said execution environment comprising a just in time compiler.

13. The method of claim 1, said execution environment being an operating system.

14. A computer system comprising:

a processor;

an execution environment executing on said processor, said execution environment comprising;

a data collection system that collects performance data and transmits said performance data to a data collection system;

a set of changeable input parameters that change behavior of said execution environment; and

a configuration manager that receives updated sets of said changeable input parameters and causes said execution environment to execute using said updated sets of said changeable input parameters.

15. The computer system of claim 14, said set of changeable input parameters comprising memory management input parameters.

16. The computer system of claim 15, said memory management input parameters causing changes to a garbage management behavior.

17. The computer system of claim 15, said memory management input parameters causing changes to memory allocation behavior.

18. The computer system of claim 14, said set of changeable input parameters comprising process scheduler input parameters, said process scheduler input parameters causing changes to process scheduler behavior.

19. The computer system of claim 14, said set of changeable input parameters comprising file system input parameters, said file system input parameters causing changes to file system behavior.

20. The computer system of claim 14, said execution environment being a process virtual machine.