Duality of virtualization: simplification and complexity
ACM SIGOPS Operating Systems Review
Managing responsiveness of virtual desktops using passive monitoring
IM'09 Proceedings of the 11th IFIP/IEEE international conference on Symposium on Integrated Network Management
Quantifying load imbalance on virtualized enterprise servers
Proceedings of the first joint WOSP/SIPEW international conference on Performance engineering
Real-time issues in live migration of virtual machines
Euro-Par'09 Proceedings of the 2009 international conference on Parallel processing
Empirical virtual machine models for performance guarantees
LISA'10 Proceedings of the 24th international conference on Large installation system administration
Proceedings of the 21st international symposium on High-Performance Parallel and Distributed Computing
Energy-Efficient Thermal-Aware Autonomic Management of Virtualized HPC Cloud Infrastructure
Journal of Grid Computing
| Hi-index | 0.00 |
Virtualization rapidly gains popularity affecting multiple levels of the computing stack. Since it decouples resources from their users it provides greater flexibility in terms of resource allocation but also brings new challenges for optimal design, provisioning, and runtime management of systems. This paper presents an analytical model of virtual machine migration that provides an estimate of the expected improvement in response time due to a migration decision. The model explicitly accounts for predictability of resource demands and characteristics of the virtualization infrastructure, such as migration time and overhead. It brings new insights into the decision strategies that should be used to improve the overall responsiveness of the system when dynamically managing virtual machines. The model is validated using simulations driven by data center resource utilization traces.