Performing server migration and dependent server discovery in parallel

• US 9,785,461 B2
• Filed: 06/19/2015
• Issued: 10/10/2017
• Est. Priority Date: 05/14/2015
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Anerousis, Nikolaos, Bai, Kun, Franke, Hubertus, Hwang, Jinho, Moreira, Jose E., Vukovic, Maja
• Primary Examiner(s): Jean, Frantz
• Application Number:
  US14/744,175
• Publication Number:
  US 20160335105A1
• Time in Patent Office: 844 Days
• Field of Search: 709217, 709219
• CPC Class Codes: G06F 2009/4557 Distribution of virtual machine instances; Migration and load balancing
• CPC Class Codes: G06F 2009/45591 Monitoring or debugging support
• CPC Class Codes: G06F 9/45558 Hypervisor-specific management and integration aspects
• CPC Class Codes: H04L 12/40 Bus networks
• CPC Class Codes: H04L 41/0813 characterised by the conditions triggering a change of settings
• CPC Class Codes: H04L 41/0883 Semiautomatic configuration, e.g. proposals from system
• CPC Class Codes: H04L 41/0897 by horizontal or vertical scaling of resources, or by migrating entities, e.g. virtual resources or entities
• CPC Class Codes: H04L 41/12 Discovery or management of network topologies
• CPC Class Codes: H04L 41/122 of virtualised topologies, e.g. software-defined networks [SDN] or network function virtualisation [NFV]
• CPC Class Codes: H04L 41/16 using machine learning or artificial intelligence
• CPC Class Codes: H04L 43/16 Threshold monitoring
• CPC Class Codes: H04L 67/01 Protocols
• 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

Performing server virtual machine image migration and dependent server virtual machine image discovery in parallel is provided. Migration of a server virtual machine image that performs a workload is started to a client device via a network and, in parallel, an identity is continuously discovered of a set of dependent server virtual machine images corresponding to the server virtual machine image being migrated to the client device. In response to discovering the identity of the set of dependent server virtual machine images, a server migration pattern of the discovered set of dependent server virtual machine images is generated for the workload. A level of risk corresponding to migrating each dependent server virtual machine image of the discovered set of dependent server virtual machine images to the client device is calculated based on the server migration pattern of the discovered set of dependent server virtual machine images for the workload.

Claims

1. A computer-implemented method for performing server virtual machine image migration and dependent server virtual machine image discovery in parallel, the computer-implemented method comprising:

responsive to a computer receiving a request to migrate a server virtual machine image that performs a workload to a client device via a network, starting, by the computer, migration of the server virtual machine image to the client device via the network and, in parallel in real-time during execution of the migration, continuously discovering, by the computer, an identity of a set of dependent server virtual machine images corresponding to the server virtual machine image being migrated to the client device to increase performance of the client device by decreasing server migration time;

responsive to the computer discovering the identity of the set of dependent server virtual machine images, generating, by the computer, a server migration pattern of the discovered set of dependent server virtual machine images for the workload;

calculating, by the computer, a level of risk corresponding to migrating each dependent server virtual machine image of the discovered set of dependent server virtual machine images to the client device based on the server migration pattern of the discovered set of dependent server virtual machine images for the workload;

calculating, by the computer, a score for each dependent server virtual machine image based on the calculated level of risk corresponding to migrating each of the dependent server virtual machine images to the client device;

ranking, by the computer, each of the dependent server virtual machine images in a prioritized server migration list based on the calculated score for each particular dependent server virtual machine image, the workload, and criticality in performance of the workload by each particular dependent server virtual machine image to prioritize migration execution; and

migrating, by the computer, the dependent server virtual machine images in a ranked priority order of the prioritized server migration list for each of the dependent server virtual machine images to the client device via the network to execute the workload.

2. The computer-implemented method of claim 1 further comprising:

responsive to the computer generating the server migration pattern of the discovered set of dependent server virtual machine images for the workload, storing, by the computer, the server migration pattern of the discovered set of dependent server virtual machine images for the workload in a storage device; and

sending, by the computer, a request to a server migration subject matter expert to review the stored server migration pattern of the discovered set of dependent server virtual machine images for the workload.

3. The computer-implemented method of claim 1 further comprising:

retrieving, by the computer, a set of properties for each dependent server virtual machine image of the discovered set of dependent server virtual machine images from a storage device; and

calculating, by the computer, a risk of migration score for each dependent server virtual machine image of the discovered set of dependent server virtual machine images based on the set of properties corresponding to each respective dependent server virtual machine image.

4. The computer-implemented method of claim 3, wherein the set of properties is attributes of each dependent server virtual machine image and includes at least one of a server image dependency graph, number of communication connections between server images executing the workload, type of communication connections between the server images executing the workload, function of the communication connections between the server images executing the workload, server image operating system type, server image operating system version, type of the workload, criticality of a server image to the workload, estimated migration time, and migration failure impact.

5. The computer-implemented method of claim 3 further comprising:

responsive to the computer determining that the calculated risk of migration score for each dependent server virtual machine image of the discovered set of dependent server virtual machine images is below a predetermined migration risk threshold value, ranking, by the computer, each dependent server virtual machine image of the discovered set of dependent server virtual machine images in a prioritized order based on the calculated risk of migration score corresponding to each respective dependent server virtual machine image.