Exploiting process lifetime distributions for dynamic load balancing
SOSP '95 Proceedings of the fifteenth ACM symposium on Operating systems principles
Dynamic Virtual Clusters in a Grid Site Manager
HPDC '03 Proceedings of the 12th IEEE International Symposium on High Performance Distributed Computing
A Case For Grid Computing On Virtual Machines
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
From Sandbox to Playground: Dynamic Virtual Environments in the Grid
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
VMPlants: Providing and Managing Virtual Machine Execution Environments for Grid Computing
Proceedings of the 2004 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
Virtual workspaces: Achieving quality of service and quality of life in the Grid
Scientific Programming - Dynamic Grids and Worldwide Computing
Usher: an extensible framework for managing custers of virtual machines
LISA'07 Proceedings of the 21st conference on Large Installation System Administration Conference
Multiplexing low and high QoS workloads in virtual environments
JSSPP'10 Proceedings of the 15th international conference on Job scheduling strategies for parallel processing
Security and performance trade-off in PerfCloud
Euro-Par 2010 Proceedings of the 2010 conference on Parallel processing
Dynamic configuration of virtual machine for power-proportional resource provisioning
Green Computing Middleware on Proceedings of the 2nd International Workshop
The CloudGrid approach: Security analysis and performance evaluation
Future Generation Computer Systems
A survey of task mapping on production grids
ACM Computing Surveys (CSUR)
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Virtualization can enhance the functionality and ease the management of current and future Grids by enabling on-demand creation of services and virtual clusters with customized environments, QoS provisioning and policy-based resource allocation. In this work, we consider the use of virtual machines (VMs) in a data-center environment, where a significant portion of resources from a shared pool are dedicated to Grid job processing. The goal is to improve efficiency while supporting a variety of different workloads. We analyze workload data for the past year from a Tier-2 Resource Center at the RRC Kurchatov Institute (Moscow, Russia). Our analysis reveals that a large fraction of Grid jobs have low CPU utilization, which suggests that using virtual machines to isolate execution of different Grid jobs on the shared hardware might be beneficial for optimizing the data-center resource usage. Our simulation results show that with only half the original infrastructure employing VMs (50 nodes and four VMs per node) we can support 99% of the load processed by the original system (100 nodes). Finally, we describe a prototype implementation of a virtual machine management system for Grid computing.