A case for high performance computing with virtual machines
Proceedings of the 20th annual international conference on Supercomputing
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
Generating Adaptation Policies for Multi-tier Applications in Consolidated Server Environments
ICAC '08 Proceedings of the 2008 International Conference on Autonomic Computing
Efficient Power Management of Heterogeneous Soft Real-Time Clusters
RTSS '08 Proceedings of the 2008 Real-Time Systems Symposium
pMapper: power and migration cost aware application placement in virtualized systems
Proceedings of the 9th ACM/IFIP/USENIX International Conference on Middleware
A cost-sensitive adaptation engine for server consolidation of multitier applications
Proceedings of the 10th ACM/IFIP/USENIX International Conference on Middleware
Shares and utilities based power consolidation in virtualized server environments
IM'09 Proceedings of the 11th IFIP/IEEE international conference on Symposium on Integrated Network Management
Modeling virtual machine performance: challenges and approaches
ACM SIGMETRICS Performance Evaluation Review
Towards energy-aware scheduling in data centers using machine learning
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
Efficient resource provisioning in compute clouds via VM multiplexing
Proceedings of the 7th international conference on Autonomic computing
PAC: Pattern-driven Application Consolidation for Efficient Cloud Computing
MASCOTS '10 Proceedings of the 2010 IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Server consolidation with migration control for virtualized data centers
Future Generation Computer Systems
HPC-Aware VM Placement in Infrastructure Clouds
IC2E '13 Proceedings of the 2013 IEEE International Conference on Cloud Engineering
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Virtualization allows server consolidation to reduce energy consumption and agile resource provisioning. Consolidation with unaware of the memory-access demand can cause inefficient resource utilization and degrade system performance. In this paper, we propose efficient consolidation of VMs based on the memory-access demand of these VMs to improve overall system performance. Our approach is reactive and exploits the migration capability. We evaluate our algorithm using several simulation setups and different performance metrics. The results show that we can achieve balance in memory-bus utilization and improve of the system compared to CPU-based consolidation approach.