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

• US 9,983,895 B2
• Filed: 01/30/2015
• Issued: 05/29/2018
• Est. Priority Date: 06/18/2014
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Ghosh, Rahul, Paramkusham, Giribabu V., Quirk, Aaron J., Sharma, Upendra
• Primary Examiner(s): Kamran, Mehran
• Application Number:
  US14/609,823
• Publication Number:
  US 20150370594A1
• Time in Patent Office: 1,215 Days
• Field of Search: 718 1
• CPC Class Codes: G06F 2009/4557 Distribution of virtual machine instances; Migration and load balancing
• CPC Class Codes: G06F 2009/45579 I/O management, e.g. providing access to device drivers or storage
• CPC Class Codes: G06F 2209/501 Performance criteria
• CPC Class Codes: G06F 2209/508 Monitor
• CPC Class Codes: G06F 9/45533 Hypervisors; Virtual machine monitors
• CPC Class Codes: G06F 9/45558 Hypervisor-specific management and integration aspects
• CPC Class Codes: G06F 9/4856 resumption being on a different machine, e.g. task migration, virtual machine migration G06F9/5088 takes precedence
• 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
• CPC Class Codes: H04L 43/0888 Throughput
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46

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.

Claims

1. A method for optimizing runtime performance of an application workload in a hybrid cloud topology, the method 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, by a processor, 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;

generating said score 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 used to service said application workload based on which group of said groups of different ranges of I/O operations per second has a largest sample size and said number of virtual machines in said pattern of virtual machines that are allowed to be in said 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 method as recited in claim 1 further comprising:

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 method 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 method as recited in claim 1 further comprising:

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.