OPTIMIZING APPLICATION PERFORMANCE ON VIRTUAL MACHINES AUTOMATICALLY WITH END-USER PREFERENCES

• US 20090265707A1
• Filed: 04/21/2008
• Published: 10/22/2009
• Est. Priority Date: 04/21/2008
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Simsek, Onur, Goodman, Alan H., Yildirim, Tolga
• Application Number:
  US12/106,817
• Publication Number:
  US 20090265707A1
• Time in Patent Office: Days
• US Class Current: 718/1
• CPC Class Codes: G06F 11/3433 for load management allocation of a server based on load conditions G06F9/505; load rebalancing G06F9/5083; redistributing the load in a network by a load balancer H04L67/1029
• CPC Class Codes: G06F 11/3442 for planning or managing the needed capacity
• CPC Class Codes: G06F 2201/81 Threshold
• CPC Class Codes: G06F 2201/815 Virtual middleware or OS functionality using virtual machines to implement generic software techniques for error detection or fault masking G06F11/1484
• CPC Class Codes: G06F 2209/508 Monitor
• CPC Class Codes: G06F 9/5016 the resource being the memory
• CPC Class Codes: G06F 9/5027 the resource being a machine, e.g. CPUs, Servers, Terminals
• 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
• CPC Class Codes: G06F 9/5088 involving task migration

Abstract

A virtual machine management/monitoring service can be configured to automatically monitor and implement user-defined (e.g., administrator-defined) configuration policies with respect to virtual machine and application resource utilization. In one implementation, the monitoring service can be extended to provide user-customized alerts based on various particularly defined events that occur (e.g., some memory or processing threshold) during operation of the virtual machines and/or application execution. The user can also specify particularly tailored solutions, which can include automatically reallocating physical host resources without additional user input on a given physical host, or moving/adding virtual machines on other physical hosts. For example, the monitoring service can be configured so that, upon identifying that a virtual machine'"'"'s memory and processing resources are maxed out and/or growing, the monitoring service adds memory or processing resources for the virtual machine, or adds a new virtual machine to handle the load for the application program.

Claims

1. At a monitoring service in a computerized environment comprising one or more virtual machines operating on one or more physical hosts, and one or more application programs executing on the one or more virtual machines, a method of automatically optimizing performance of an application program by the allocation physical host resources among the one or more virtual machines, comprising the acts of:

identifying one or more changes in performance of one or more application programs running on one or more virtual machines at a physical host;

identifying one or more resource allocations of physical host resources for each of the one or more virtual machines;

automatically determining a new resource allocation of physical host resources for each of the virtual machines based on the change in application performance; and

automatically implementing the new resource allocations for the virtual machines, wherein performance of the one or more application programs is optimized.

2. The method as recited in claim 1, further comprising an act of receiving one or more performance metrics for the physical host.

3. The method as recited in claim 2, further comprising an act of receiving one or more performance metrics for each virtual machine that is running on the physical host.

4. The method as recited in claim 3, wherein the one or more performance metrics for each virtual machine comprises performance information for each application program being executed by each of the one or more virtual machines.

5. The method as recited in claim 4, wherein the act of automatically determining a new resource allocation further comprises determining a change in a memory resource allocation and a processing resource allocation for an existing virtual machine at the physical host.

6. The method as recited in claim 5, wherein the determination for the memory and processing resource change is made based on a user-specified configuration.

7. The method as recited in claim 6, wherein the user-specified configuration changes a default configuration for responding to the application performance change.

8. The method as recited in claim 1, wherein the act of automatically determining a new resource allocation further comprises determining that a new virtual machine needs to be created.

9. The method as recited in claim 6, further comprising assigning execution of the one or more application programs having the identified performance change to the one or more original virtual machines on which the application was executed and to the new virtual machine.

10. The method as recited in claim 6 wherein the act of automatically determining a new resource allocation further comprises the acts of:

creating an alternate resource allocation of an existing virtual machine; and

creating a different resource allocation for the new virtual machine.

11. The method as recited in claim 6, wherein the act of automatically implementing the new resource allocations further comprises an act of creating a new virtual machine at a new physical host that is different from the original physical host at which the application performance change is identified.

12. The method as recited in claim 1, wherein the act of automatically determining a new resource allocation further comprises determining that an existing virtual machine needs to be moved to another physical host.

13. The method as recited in claim 12, wherein the act of automatically implementing the new allocation further comprises the acts of:

identifying another physical host that has sufficient resources for executing the identified one or more application programs; and

automatically moving the existing virtual machine to the other physical host.

14. The method as recited in claim 13, further comprising an act of automatically changing a prior resource allocation for the moved virtual machine at the other physical host, wherein the moved virtual machine has a new resource allocation for executing the identified application program at the other physical host.

15. At a monitoring service in a computerized environment comprising one or more virtual machines operating on one or more physical hosts, and one or more application programs executing on the one or more virtual machines, a method of automatically managing physical host resource allocations among the one or more virtual machines based on information from an end-user, the virtual machines, and the physical host, comprising the acts of:

receiving one or more end-user configurations regarding allocation of physical host resources by one or more hosted virtual machines;

receiving one or more messages regarding performance metrics related to the one or more virtual machines and of the physical host;

automatically determining that the one or more virtual machines are operating at a suboptimal level defined by the received one or more end-user configurations; and

automatically reallocating physical host resources for the one or more of the virtual machines based on the received end-user configurations, wherein the one or more virtual machines use physical host resources at an optimal level defined by the received end-user configurations.

16. The method as recited in claim 15, wherein the received one or more end-user configurations change one or more default configurations in a configuration policy for the monitoring service.

17. The method as recited in claim 15, wherein the one or more end-user configurations dictate that a new virtual machine is to be created in response to one or more of the performance metrics identified in the received one or more messages.

18. The method as recited in claim 15, wherein the one or more end-user configurations dictate that one of the one or more virtual machines at the physical host needs to be moved to another physical host with available resources for executing a particular application program.

19. The method as recited in claim 15, wherein the act of automatically reallocating physical host resources comprises changing an existing allocation by adding one or more processors and one or more memory addresses of the physical host to create a new allocation for the virtual machine.

20. At a monitoring service in a computerized environment comprising one or more virtual machines operating on one or more physical hosts, and one or more application programs executing on the one or more virtual machines, a computer program storage product having computer-executable instructions stored thereon that, when executed, cause one or more processors in the computerized environment to perform a method comprising:

identifying one or more changes in performance of one or more application programs running on one or more virtual machines at a physical host;

identifying one or more resource allocations of physical host resources for each of the one or more virtual machines;

automatically determining a new resource allocation of physical host resources for each of the virtual machines based on the change in application performance; and

automatically implementing the new resource allocations for the virtual machines, wherein performance of the one or more application programs is optimized.