Computer and Database Location in Distributed Computer Systems
IEEE Transactions on Computers
Knapsack problems: algorithms and computer implementations
Knapsack problems: algorithms and computer implementations
Live migration of virtual machines
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
Adaptive control of virtualized resources in utility computing environments
Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007
Resource Management in the Autonomic Service-Oriented Architecture
ICAC '06 Proceedings of the 2006 IEEE International Conference on Autonomic Computing
Black-box and gray-box strategies for virtual machine migration
NSDI'07 Proceedings of the 4th USENIX conference on Networked systems design & implementation
Quantifying load imbalance on virtualized enterprise servers
Proceedings of the first joint WOSP/SIPEW international conference on Performance engineering
Proceedings of the Third Annual ACM Bangalore Conference
Virtualization architecture using the ID/Locator split concept for Future Wireless Networks (FWNs)
Computer Networks: The International Journal of Computer and Telecommunications Networking
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A challenge that comes with server virtualization is how to effectively manage capacities of virtual machines to increase resource utilization while ensuring that the service level objectives (SLOs) of applications running on them should be satisfied. Migration is a good technique to address this challenge, which is transparent to the applications and supported by most of modern virtual machines. In this paper, we consider an automated strategy for virtual machine migration in self-managing virtualized server environments. Moreover we propose an optimization model based on a linear programming (LP). Finally, experimental examples show that our approach can be applied to effectively determine which virtual machines should be migrated and on which physical machines to host them while minimizing operational and migration costs.