Live migration of virtual machines
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
Server-storage virtualization: integration and load balancing in data centers
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
Entropy: a consolidation manager for clusters
Proceedings of the 2009 ACM SIGPLAN/SIGOPS international conference on Virtual execution environments
Online Scheduling with Bounded Migration
Mathematics of Operations Research
Sandpiper: Black-box and gray-box resource management for virtual machines
Computer Networks: The International Journal of Computer and Telecommunications Networking
Communications of the ACM
Improving the scalability of data center networks with traffic-aware virtual machine placement
INFOCOM'10 Proceedings of the 29th conference on Information communications
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HotCloud'12 Proceedings of the 4th USENIX conference on Hot Topics in Cloud Ccomputing
Towards unobtrusive VM live migration for cloud computing platforms
Proceedings of the Asia-Pacific Workshop on Systems
PEPON: performance-aware hierarchical power budgeting for NoC based multicores
Proceedings of the 21st international conference on Parallel architectures and compilation techniques
Towards unobtrusive VM live migration for cloud computing platforms
APSys'12 Proceedings of the Third ACM SIGOPS Asia-Pacific conference on Systems
More for your money: exploiting performance heterogeneity in public clouds
Proceedings of the Third ACM Symposium on Cloud Computing
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Migration is an interesting issue for managing resource utilization and performance in clusters. Recent advances in server virtualization have made migration a practical method to achieve these goals. Especially, the live migration of virtualized servers made their pausing times negligible. However, migration of a virtual machine (VM) can slow down other collocated VMs in multiresource shared systems, where all the system resources are shared among collocated VMs. In parallel execution environment, such sudden slow-down phase of systems is called system noise; it may slow down overall systems while increasing the variability of system performance. When we consider the virtual machine assignment problem as resource allocation, those performance issues are hard to be properly treated. In this work, we address how to consider performance in assigning VMs. To achieve this goal, we model a migration process of a VM instance as a pair of jobs that run at the hosts of sender and receiver. We propose a method to analyze the migration time and the performance impact on multiresource shared systems for completing given VM assignment plan. This study may contribute to create more robust performance in virtualized environment.