Optimizing runtime performance of an application workload by minimizing network input/output communications between virtual machines on different clouds in a hybrid cloud topology during cloud bursting

Patent metadata

Field	Value
Publication number	US-10228960-B2
Application number	US-201615152734-A
Country	US
Kind code	B2
Filing date	May 12, 2016
Priority date	Jun 18, 2014
Publication date	Mar 12, 2019
Grant date	Mar 12, 2019

Abstract

A method, system and computer program product for optimizing runtime performance of an application workload. Network input/output (I/O) operations between virtual machines of a pattern of virtual machines servicing the application workload in a private cloud are measured over a period of time and depicted in a histogram. A score is generated for each virtual machine or group of virtual machines in the pattern of virtual machines based on which range in the ranges of I/O operations per seconds (IOPS) depicted in the histogram has the largest sample size and the number of virtual machines in the same pattern that are allowed to be in the public cloud. In this manner, the runtime performance of the application workload is improved by minimizing the network input/output communications between the two cloud environments by migrating those virtual machine(s) or group(s) of virtual machines with a score that exceeds a threshold value.

First claim

The invention claimed is:

1. A computer program product for optimizing runtime performance of an application workload in a hybrid cloud topology, the computer program product comprising a computer readable storage medium having program code embodied therewith, the program code comprising the programming instructions for:
measuring network input/output (I/O) operations between virtual machines of a pattern of virtual machines servicing said application workload in a private cloud over a period of time;
generating a score for each of a plurality of virtual machines or for each group of a plurality of groups of virtual machines in said pattern of virtual machines used to service said application workload based on a highest number of samples within a range of I/O operations per second using said measured network I/O operations and a number of virtual machines in said pattern of virtual machines that are allowed to be in a public cloud;
ranking each of said plurality of virtual machines or each group of said plurality of groups of virtual machines in said pattern of virtual machines based on said score; and
migrating one or more of said plurality of virtual machines or one or more groups of said plurality of groups of virtual machines in said pattern of virtual machines to said public cloud to service said application workload in response to said score for said one or more of said plurality of virtual machines or for said one or more groups of said plurality of groups of virtual machines in said pattern of virtual machines exceeding a threshold value.

2. The computer program product as recited in claim 1 , wherein the program code further comprises the programming instructions for:
generating a histogram of I/O usage for each of said plurality of virtual machines or for each group of said plurality of groups of virtual machines in said pattern of virtual machines comprising groups of different ranges of I/O operations per second using said measured network I/O operations.

3. The computer program product as recited in claim 1 , wherein said one or more of said plurality of virtual machines or said one or more groups of said plurality of groups of virtual machines in said pattern of virtual machines are migrated to said public cloud in parallel.

4. The computer program product as recited in claim 1 , wherein the program code further comprises the programming instructions for:
migrating said one or more of said plurality of virtual machines or said one or more groups of said plurality of groups of virtual machines in said pattern of virtual machines to said public cloud to service said application workload in response to said score for said one or more of said plurality of virtual machines or for said one or more groups of said plurality of groups of virtual machines in said pattern of virtual machines exceeding said threshold value and in response to a workload policy permitting said migration of said one or more of said plurality of virtual machines or said one or more groups of said plurality of groups of virtual machines in said pattern of virtual machines to said public cloud.

5. A system, comprising:
a memory unit for storing a computer program for optimizing runtime performance of an application workload in a hybrid cloud topology; and
a processor coupled to the memory unit, wherein the processor is configured to execute the program instructions of the computer program comprising:
measuring network input/output (I/O) operations between virtual machines of a pattern of virtual machines servicing said application workload in a private cloud over a period of time;
generating a score for each of a plurality of virtual machines or for each group of a plurality of groups of virtual machines in said pattern of virtual machines used to service said application workload based on a highest number of samples within a range of I/O operations per second using said measured network I/O operations and a number of virtual machines in said pattern of virtual machines that are allowed to be in a public cloud;
ranking each of said plurality of virtual machines or each group of said plurality of groups of virtual machines in said pattern of virtual machines based on said score; and
migrating one or more of said plurality of virtual machines or one or more groups of said plurality of groups of virtual machines in said pattern of virtual machines to said public cloud to service said application workload in response to said score for said one or more of said plurality of virtual machines or for said one or more groups of said plurality of groups of virtual machines in said pattern of virtual machines exceeding a threshold value.

6. The system as recited in claim 5 , wherein the program instructions of the computer program further comprise:
generating a histogram of I/O usage for each of said plurality of virtual machines or for each group of said plurality of groups of virtual machines in said pattern of virtual machines comprising groups of different ranges of I/O operations per second using said measured network I/O operations.

7. The system as recited in claim 5 , wherein said one or more of said plurality of virtual machines or said one or more groups of said plurality of groups of virtual machines in said pattern of virtual machines are migrated to said public cloud in parallel.

8. The system as recited in claim 5 , wherein the program instructions of the computer program further comprise:
migrating said one or more of said plurality of virtual machines or said one or more groups of said plurality of groups of virtual machines in said pattern of virtual machines to said public cloud to service said application workload in response to said score for said one or more of said plurality of virtual machines or for said one or more groups of said plurality of groups of virtual machines in said pattern of virtual machines exceeding said threshold value and in response to a workload policy permitting said migration of said one or more of said plurality of virtual machines or said one or more groups of said plurality of groups of virtual machines in said pattern of virtual machines to said public cloud.

Assignees

• IBM

Inventors

• Ghosh Rahul
• Paramkusham Giribabu V
• Quirk Aaron J
• Sharma Upendra

Classifications

• G06F2209/508

  Monitor · CPC title

• G06F2209/501

  Performance criteria · CPC title

• G06F9/4856

  resumption being on a different machine, e.g. task migration, virtual machine migration (G06F9/5088 takes precedence) · CPC title

• G06F9/5088

  involving task migration · CPC title

• G06F9/5077

  Logical partitioning of resources; Management or configuration of virtualized resources (specific details on emulation or internal functioning of virtual machines G06F9/455) · CPC title