The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
A Case For Grid Computing On Virtual Machines
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Xen and the art of virtualization
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
From Sandbox to Playground: Dynamic Virtual Environments in the Grid
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
Intel Virtualization Technology
Computer
Towards Autonomic Virtual Applications in the In-VIGO System
ICAC '05 Proceedings of the Second International Conference on Automatic Computing
Deploying virtual machines as sandboxes for the grid
WORLDS'05 Proceedings of the 2nd conference on Real, Large Distributed Systems - Volume 2
CLUSTER '07 Proceedings of the 2007 IEEE International Conference on Cluster Computing
Dynamic scheduling of virtual machines running HPC workloads in scientific grids
NTMS'09 Proceedings of the 3rd international conference on New technologies, mobility and security
Cluster-wide context switch of virtualized jobs
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
Towards building a cloud for scientific applications
Advances in Engineering Software
Predicting network throughput for grid applications on network virtualization areas
Proceedings of the first international workshop on Network-aware data management
| Hi-index | 0.00 |
The primary motivation for uptake of virtualization have been resource isolation, capacity management and resource customization: isolation and capacity management allow providers to isolate users from the site and control their resources usage while customization allows end-users to easily project the required environment onto a variety of sites. Various approaches have been taken to integrate virtualization with Grid technologies. In this paper, we propose an approach that combines virtualization on the existing software infrastructure such as Pilot Jobs with minimum change on the part of resource providers. We also present a standard API to enable a wider set of applications including Batch systems to deploy virtual machines on-demand as isolated job sandboxes. To illustrate the usefulness of this approach, we also evaluate the impact of Xen virtualization on memory and compute intensive tasks, and present our results that how memory and scheduling parameters could be tweaked to optimize job performance.