Live migration of virtual machines
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
Post-copy based live virtual machine migration using adaptive pre-paging and dynamic self-ballooning
Proceedings of the 2009 ACM SIGPLAN/SIGOPS international conference on Virtual execution environments
Post-copy live migration of virtual machines
ACM SIGOPS Operating Systems Review
Cost of Virtual Machine Live Migration in Clouds: A Performance Evaluation
CloudCom '09 Proceedings of the 1st International Conference on Cloud Computing
Cost-aware live migration of services in the cloud
Proceedings of the 3rd Annual Haifa Experimental Systems Conference
Predicting the Performance of Virtual Machine Migration
MASCOTS '10 Proceedings of the 2010 IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Performance and energy modeling for live migration of virtual machines
Proceedings of the 20th international symposium on High performance distributed computing
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The ability to live migrate virtual machines (VMs) between physical servers without any perceivable service interruption is pivotal for building more energy efficient Cloud Computing infrastructures in the future. Nevertheless, energy efficiency is not worth the effort if quality metrics (e.g., QoS, QoE) are severely decreased by, e.g., dynamic consolidation using live migration. In this work, we present results for a low level approach by patching KVM to implement Xen's live migration stop conditions, and a high level approach by monitoring the progress and service level state of a live migration and estimating the impact on the service level during the remaining migration time. We compare these approaches with an unpatched, vanilla KVM version and different sets of parameters used for live migration. Our service level management approaches offer superior QoS during migration. Especially, they allow to migrate also highly utilized VMs with comparably small influence on QoS.