iMIG: Toward an Adaptive Live Migration Method for KVM Virtual Machines
Get access
Abstract
With the energy and power costs increasing alongside the growth of the IT infrastructures, achieving workload concentration and high availability in cloud computing environments is becoming more and more complex. Virtual machine (VM) migration has become an important approach to address this issue, particularly; live migration of the VMs across the physical servers facilitates dynamic workload scheduling of the cloud services as per the energy management requirements, and also reduces the downtime by allowing the migration of the running instances. However, migration is a complex process affected by several factors such as bandwidth availability, application workload and operating system configurations, which in turn increases the complications in predicting the migration time in order to negotiate the service-level agreements in a real datacenter. In this paper, we propose an adaptive approach named improved MIGration (iMIG), in which we characterize some of the key metrics of the live migration performance, and conduct several experiments to study the impacts of the investigated metrics on the Kernel-based VM (KVM) functionalities, as well as the energy consumed by both the destination and the source hosts. Our results reveal the importance of the configured parameters:speed limit,TCP buffer size andmax downtime, along with the VM properties and also their corresponding impacts on the migration process. Improper setting of these parameters may either incur migration failures or causes excess energy consumption. We witness a few bugs in the existing Quick EMUlator (QEMU)/KVM parameter computation framework, which is one of most widely used KVM frameworks based on QEMU. Based on our observations, we develop an analytical model aimed at better predictions of both the migration time and the downtime, during the process of VM deployment. Finally, we implement a suite of profiling tools in the adaptive mechanism based on the qemu-kvm-0.12.5 version, and our experiment results prove the efficiency of our approach in improving the live migration performance. In comparison with the default migration approach, our approach achieves a 40% reduction in the migration latency and a 45% reduction in the energy consumption.
Sign in
Get help with accessPersonal account
- Sign in with email/username & password
- Get email alerts
- Save searches
- Purchase content
- Activate your purchase/trial code
- Add your ORCID iD
Get help with access
Institutional access
Access to content on Oxford Academic is often provided through institutional subscriptions and purchases. If you are a member of an institution with an active account, you may be able to access content in one of the following ways:
IP based access
Typically, access is provided across an institutional network to a range of IP addresses. This authentication occurs automatically, and it is not possible to sign out of an IP authenticated account.
Sign in through your institution
Choose this option to get remote access when outside your institution. Shibboleth/Open Athens technology is used to provide single sign-on between your institution’s website and Oxford Academic.
- Click Sign in through your institution.
- Select your institution from the list provided, which will take you to your institution's website to sign in.
- When on the institution site, please use the credentials provided by your institution. Do not use an Oxford Academic personal account.
- Following successful sign in, you will be returned to Oxford Academic.
If your institution is not listed or you cannot sign in to your institution’s website, please contact your librarian or administrator.
Sign in with a library card
Enter your library card number to sign in. If you cannot sign in, please contact your librarian.
Society Members
Society member access to a journal is achieved in one of the following ways:
Sign in through society site
Many societies offer single sign-on between the society website and Oxford Academic. If you see ‘Sign in through society site’ in the sign in pane within a journal:
- Click Sign in through society site.
- When on the society site, please use the credentials provided by that society. Do not use an Oxford Academic personal account.
- Following successful sign in, you will be returned to Oxford Academic.
If you do not have a society account or have forgotten your username or password, please contact your society.
Sign in using a personal account
Some societies use Oxford Academic personal accounts to provide access to their members. See below.
Personal account
A personal account can be used to get email alerts, save searches, purchase content, and activate subscriptions.
Some societies use Oxford Academic personal accounts to provide access to their members.
Viewing your signed in accounts
Click the account icon in the top right to:
- View your signed in personal account and access account management features.
- View the institutional accounts that are providing access.
Signed in but can't access content
Oxford Academic is home to a wide variety of products. The institutional subscription may not cover the content that you are trying to access. If you believe you should have access to that content, please contact your librarian.
Institutional account management
For librarians and administrators, your personal account also provides access to institutional account management. Here you will find options to view and activate subscriptions, manage institutional settings and access options, access usage statistics, and more.
Purchase
Short-term Access
To purchase short-term access, please sign in to your personal account above.
Don't already have a personal account?Register
Rental
| Month: | Total Views: |
|---|---|
| February 2017 | 1 |
| March 2017 | 14 |
| May 2017 | 4 |
| June 2017 | 5 |
| July 2017 | 1 |
| August 2017 | 1 |
| September 2017 | 5 |
| October 2017 | 6 |
| November 2017 | 1 |
| December 2017 | 2 |
| January 2018 | 3 |
| February 2018 | 3 |
| March 2018 | 2 |
| April 2018 | 1 |
| May 2018 | 1 |
| June 2018 | 1 |
| July 2018 | 1 |
| September 2018 | 1 |
| October 2018 | 1 |
| November 2018 | 1 |
| March 2019 | 1 |
| April 2019 | 1 |
| August 2019 | 1 |
| September 2019 | 4 |
| June 2020 | 1 |
| February 2021 | 1 |
| April 2021 | 1 |
| May 2021 | 1 |
| August 2021 | 2 |
| October 2021 | 2 |
| November 2021 | 2 |
| December 2021 | 1 |
| March 2022 | 1 |
| July 2022 | 1 |
| October 2022 | 1 |
| November 2022 | 1 |
| February 2023 | 1 |
| August 2023 | 1 |
| December 2023 | 1 |
| June 2024 | 1 |
| July 2024 | 1 |
| August 2024 | 1 |
Citing articles via
- Online ISSN 1460-2067
- Print ISSN 0010-4620
- Copyright © 2025 British Computer Society
Oxford University Press is a department of the University of Oxford. It furthers the University's objective of excellence in research, scholarship, and education by publishing worldwide
- Copyright © 2025 Oxford University Press
- Cookie policy
- Privacy policy
- Legal notice
