A Case For Grid Computing On Virtual Machines
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Checkpointing and Its Applications
FTCS '95 Proceedings of the Twenty-Fifth International Symposium on Fault-Tolerant Computing
VMPlants: Providing and Managing Virtual Machine Execution Environments for Grid Computing
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
HPC.NET - are CLI-based Virtual Machines Suitable for High Performance Computing?
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
From virtualized resources to virtual computing grids: the In-VIGO system
Future Generation Computer Systems - Special section: Complex problem-solving environments for grid computing
Virtualization for high-performance computing
ACM SIGOPS Operating Systems Review
Live migration of virtual machines
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
Libckpt: transparent checkpointing under Unix
TCON'95 Proceedings of the USENIX 1995 Technical Conference Proceedings
Managing large networks of virtual machines
LISA '06 Proceedings of the 20th conference on Large Installation System Administration
CIMDIFF: advanced difference tracking tool for CIM compliant devices
LISA'09 Proceedings of the 23rd conference on Large installation system administration
Simplified cloud-oriented virtual machine management with MLN
The Journal of Supercomputing
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Management of virtual machines (VMs) on a large scale remains a significant challenge today. We lack general and vendor-independent quantitative criteria/metrics by which to describe the state of infrastructures for virtualization. This data is essential to both expressing administrative policy goals and to measure ongoing compliance with them in production settings. In this work, we consider VM management in production environments. We investigate VM applicability to real-world scientific computing problems by comparing application performance in a controlled environment of physical servers with the Manage Large Networks (MLN)tool's implementation of the same scenario on virtual machines. Based on our observations, we propose three new metrics by which to describe and analyze the infrastructure in order to incorporate virtual machine management closer into policy. The metrics have been implemented into the latest release of our MLN tool for virtual machine management.