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AuthorHaris, Raseena M.
AuthorKhan, Khaled M.
AuthorNhlabatsi, Armstrong
Available date2024-04-02T06:04:49Z
Publication Date2022
Publication NameComputer Networks
ResourceScopus
ISSN13891286
URIhttp://dx.doi.org/10.1016/j.comnet.2022.108898
URIhttp://hdl.handle.net/10576/53783
AbstractEnterprises are increasingly outsourcing their computing needs to cloud computing. This dependency on cloud services requires uninterrupted and high availability of services. However, achieving the availability of services is not always possible because cloud services may need to be temporarily suspended for several reasons. These include real-time maintenance of cloud infrastructure, load balancing of services, deployment of countermeasures against cyber attacks, power management, proactive fault tolerance, or resource utilization, etc. The unavailability of critical cloud services may negatively impact the business model of cloud providers because clients would likely be unhappy with frequent service interruptions. One solution to this service interruption is real-time Live Machine Migration (LVM) - a virtualization technique in network-based systems involving migrating virtual machines (VMs) from one host to another. The key objective of LVM is to avoid or minimize the interruption of application services running on a VM during the migration from a source to a destination host server. To achieve this objective, some challenges need to be tackled. An optimal LVM approach first needs to address the challenge of simultaneously minimizing downtime, network resource usage for migration, and total migration time. Several optimization techniques have been proposed for enhancing the performance of LVM. This paper provides a comprehensive review of the LVM challenges particularly focusing on memory content migration and the proposed solutions to overcome the identified challenges and their limitations. The paper also points out some open research issues and future directions towards optimizing LVM.
SponsorThis paper was made possible by the Grant NPRP 8-531-1-111 from Qatar National Research Fund (QNRF) . The statements made herein are solely the responsibility of the authors.
Languageen
PublisherElsevier
SubjectManaging dirty pages
Memory migration process
Moving target defense
Optimization
Virtual machine migration
TitleLive migration of virtual machine memory content in networked systems
TypeArticle Review
Volume Number209
dc.accessType Abstract Only


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