COMPUTE INSTANCE WORKLOAD MONITORING AND PLACEMENT

• US 20170322834A1
• Filed: 05/03/2016
• Published: 11/09/2017
• Est. Priority Date: 05/03/2016
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: de Sene, Rafael P., Folco, Rafael C. S., Leito, Breno H., Matinata, Ricardo M.
• Application Number:
  US15/145,072
• Publication Number:
  US 20170322834A1
• Time in Patent Office: Days
• CPC Class Codes: G06F 2009/4557 Distribution of virtual machine instances; Migration and load balancing
• CPC Class Codes: G06F 9/5066 Algorithms for mapping a plurality of inter-dependent sub-tasks onto a plurality of physical CPUs mappping at compile time, see G06F8/451
• 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 9/5083 Techniques for rebalancing the load in a distributed system
• CPC Class Codes: H04L 43/045 for graphical visualisation of monitoring data
• CPC Class Codes: H04L 43/0817 by checking functioning
• CPC Class Codes: H04L 43/20 the monitoring system or the monitored elements being virtualised, abstracted or software-defined entities, e.g. SDN or NFV
• CPC Class Codes: H04L 47/822 Collecting or measuring resource availability data

Abstract

Embodiments of the present invention disclose a method, computer program product, and system for a method for a system for deploying compute instances for processing a workload. Receiving a workload to be processed by a computer and determining an architecture for a compute instance that is required to process the workload, wherein the compute instance is an instance of computer system being spawned from a computing device. Setting growth rules for the compute instance, wherein the growth rules determines when the number of compute instances needs to be increased or decreased and deploying the compute instance to process the workload. The computer monitors a demand for the deployed compute instance to process the workload and automatically increasing or decreasing the number of deployed compute instances, based on the monitored demand for the deployed compute instances and the growth rules for the compute instances.

Claims

1. A method for a system for deploying compute instances for processing a workload, the method comprising:

receiving, by a computer, a workload to be processed;

determining, by the computer, an architecture for a compute instance that is required to process the workload, wherein the compute instance is an instance of computer system being spawned from a computing device;

setting, by the computer, growth rules for the compute instance, wherein the growth rules determines when the number of compute instances needs to be increased or decreased;

deploying, by the computer, the compute instance to process the workload;

monitoring, by the computer, a demand for the deployed compute instance to process the workload; and

automatically increasing or decreasing, using the computer, the number of deployed compute instances, based on the monitored demand for the deployed compute instances and the growth rules for the compute instances.

2. The method of claim 1, wherein deploying the compute instance requires that a plurality of compute instances be deployed to process the workload.

3. The method of claim 2, wherein at least one of the deployed compute instances of the plurality of deployed compute instances has a first architecture and at least one of the deployed compute instances of the plurality of deployed compute instances has a second architecture, wherein the first architecture is different than the second architecture.

4. The method of claim 3, wherein the automatically increasing or decreasing, using the computer, the number of deployed compute instances, based on the monitored demand for the deployed compute instances comprises:

increasing the number of deployed compute instances when demand for the workload is greater than or equal to a first threshold value;

or

decreasing the number of deployed compute instances when demand for the workload is less than or equal to a second threshold value.

5. The method of claim 1, wherein automatically increasing or decreasing, using the computer, the number of deployed compute instances, based on the monitored demand for the deployed compute instances comprises:

increasing the number of deployed compute instances when demand for the workload is greater than or equal to a first threshold value;

or

decreasing the number of deployed compute instances when demand for the workload is less than or equal to a second threshold value.

6. The method of claim 5, wherein the demand is determined by comparing a percentage number that is obtained from the ratio between actual resources being utilized by the compute instance and an overall resources available to the workload.

7. The method of claim 5, wherein the monitoring, by the computer, the demand for the deployed compute instance to process the workload, comprises;

monitoring, by the computer, the workload resource utilization; and

monitoring, by the computer, a network traffic, such that, monitoring an in-between incoming network connection requests.

8. The method of claim 5, wherein deploying the compute instance requires that a plurality of compute instances be deployed to process the workload;

and wherein at least one of the deployed compute instances of the plurality of deployed compute instances has a first architecture and at least one of the deployed compute instances of the plurality of deployed compute instances has a second architecture, wherein the first architecture is different than the second architecture.

9. A computer program product for deploying compute instances for processing a workload, the computer program product comprising:

one or more non-transitory computer-readable storage media and program instructions stored on the one or more non-transitory computer-readable storage media, the program instructions comprising;

receiving a workload to be processed;

determining an architecture for a compute instance that is required to process the workload, wherein the compute instance is an instance of computer system being spawned from a computing device;

setting growth rules for the compute instance, wherein the growth rules determines when the number of compute instances needs to be increased or decreased;

deploying the compute instance to process the workload;

monitoring a demand for the deployed compute instance to process the workload; and

automatically increasing or decreasing the number of deployed compute instances, based on the monitored demand for the deployed compute instances and the growth rules for the compute instances.

10. The computer program product of claim 9, wherein deploying the compute instance requires that a plurality of compute instances be deployed to process the workload.

11. The computer program product of claim 10, wherein at least one of the deployed compute instances of the plurality of deployed compute instances has a first architecture and at least one of the deployed compute instances of the plurality of deployed compute instances has a second architecture, wherein the first architecture is different than the second architecture.

12. The computer program product of claim 11, wherein the automatically increasing or decreasing the number of deployed compute instances, based on the monitored demand for the deployed compute instances comprises:

increasing the number of deployed compute instances when demand for the workload is greater than or equal to a first threshold value;

or

decreasing the number of deployed compute instances when demand for the workload is less than or equal to a second threshold value.

13. The computer program product of claim 9, wherein the automatically increasing or decreasing the number of deployed compute instances, based on the monitored demand for the deployed compute instances comprises:

increasing the number of deployed compute instances when demand for the workload is greater than or equal to a first threshold value;

or decreasing the number of deployed compute instances when demand for the workload is less than or equal to a second threshold value.

14. The computer program product of claim 13, wherein the demand is determined by comparing a percentage number that is obtained from the ratio between actual resources being utilized by the compute instance and an overall resources available to the workload.

15. The computer program product of claim 13, wherein the monitoring, by the computer, the demand for the deployed compute instance to process the workload, comprises;

monitoring the workload resource utilization; and

monitoring a network traffic, such that, monitoring an in-between incoming network connection requests.

16. The computer program product of claim 13, wherein deploying the compute instance requires that a plurality of compute instances be deployed to process the workload;

and wherein at least one of the deployed compute instances of the plurality of deployed compute instances has a first architecture and at least one of the deployed compute instances of the plurality of deployed compute instances has a second architecture, wherein the first architecture is different than the second architecture.

17. A computer system for deploying virtual machines for processing a workload, the computer system comprising:

one or more computer processors, one or more computer-readable storage media, and program instructions stored on one or more of the computer-readable storage media for execution by at least one of the one or more processors, the program instructions comprising;

receiving a workload to be processed;

determining an architecture for a compute instance that is required to process the workload, wherein the compute instance is an instance of computer system being spawned from a computing device;

setting growth rules for the compute instance, wherein the growth rules determines when the number of compute instances needs to be increased or decreased;

deploying the compute instance to process the workload;

monitoring a demand for the deployed compute instance to process the workload; and

automatically increasing or decreasing the number of deployed compute instances, based on the monitored demand for the deployed compute instances and the growth rules for the compute instances.

18. The computer system of claim 17, wherein the automatically increasing or decreasing the number of deployed compute instances, based on the monitored demand for the deployed compute instances comprises:

increasing the number of deployed compute instances when demand for the workload is greater than or equal to a first threshold value;

or

decreasing the number of deployed compute instances when demand for the workload is less than or equal to a second threshold value.

19. The computer system of claim 17, wherein the monitoring, by the computer, the demand for the deployed compute instance to process the workload, comprises;

monitoring the workload resource utilization; and

monitoring a network traffic, such that, monitoring an in-between incoming network connection requests.

20. The computer system of claim 17, wherein deploying the compute instance requires that a plurality of compute instances be deployed to process the workload;

and wherein at least one of the deployed compute instances of the plurality of deployed compute instances has a first architecture and at least one of the deployed compute instances of the plurality of deployed compute instances has a second architecture, wherein the first architecture is different than the second architecture.