A solver for the network testbed mapping problem
ACM SIGCOMM Computer Communication Review
Virtual Clusters on the Fly - Fast, Scalable, and Flexible Installation
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
Towards virtual networks for virtual machine grid computing
VM'04 Proceedings of the 3rd conference on Virtual Machine Research And Technology Symposium - Volume 3
Sharing networked resources with brokered leases
ATEC '06 Proceedings of the annual conference on USENIX '06 Annual Technical Conference
Large-scale virtualization in the Emulab network testbed
ATC'08 USENIX 2008 Annual Technical Conference on Annual Technical Conference
Experimental study of large-scale computing on virtualized resources
VTDC '09 Proceedings of the 3rd international workshop on Virtualization technologies in distributed computing
The Eucalyptus Open-Source Cloud-Computing System
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
Dynamic Provisioning of Virtual Organization Clusters
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
Virtual Infrastructure Management in Private and Hybrid Clouds
IEEE Internet Computing
IP over P2P: enabling self-configuring virtual IP networks for grid computing
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
A virtual network (ViNe) architecture for grid computing
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Virtual workspaces in the grid
Euro-Par'05 Proceedings of the 11th international Euro-Par conference on Parallel Processing
A cost efficient framework and algorithm for embedding dynamic virtual network requests
Future Generation Computer Systems
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Low upfront costs, rapid deployment of infrastructure and flexible management of resources has resulted in the quick adoption of cloud computing. Nowadays, different types of applications in areas such as enterprise web, virtual labs and high-performance computing are already being deployed in private and public clouds. However, one of the remaining challenges is how to allow users to specify Quality of Service (QoS) requirements for composite groups of virtual machines and enforce them effectively across the deployed resources. In this paper, we propose an Infrastructure as a Service resource manager capable of allocating Distributed Ensembles of Virtual Appliances (DEVAs) in the Cloud. DEVAs are groups of virtual machines and their network connectivities instantiated on heterogeneous shared resources with QoS specifications for individual entities as well as their connections. We discuss the different stages in their lifecycle: declaration, scheduling, provisioning and dynamic management, and show how this approach can be used to maintain QoS for complex deployments of virtual resources.