A Case For Grid Computing On Virtual Machines
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
SHARP: an architecture for secure resource peering
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Xen and the art of virtualization
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Sharing networked resources with brokered leases
ATEC '06 Proceedings of the annual conference on USENIX '06 Annual Technical Conference
Autonomic Live Adaptation of Virtual Computational Environments in a Multi-Domain Infrastructure
ICAC '06 Proceedings of the 2006 IEEE International Conference on Autonomic Computing
Virtual workspaces in the grid
Euro-Par'05 Proceedings of the 11th international Euro-Par conference on Parallel Processing
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The virtualization of resources in SMP machines with Xen offers automatic round-robin based coarse-grain assignment of VMs to physical processors and manual assignment via privileged commands. However, two problems can arise in Grid environments: (1) if Xen's sEDF scheduler assigns the VMs, then some processors could be over or underutilized and the VMs could receive more resources than specified, and (2) manual assignment is not feasible in a dynamic environment and also requires being aware of each node's heterogeneity. Our approach proposes an enhanced fine-grain assignment of SMP's virtualized resources for Grid environments by means of a local resource manager (LRM). We have developed a prototype which adds a partitioning layer of subsets of physical resources. Our experimental results show that our approach achieves a flexible assignment of resources. At the same time, due to the fine-grain access, a more efficient resource assignment is achieved compared to the original mechanism.