An integrated experimental environment for distributed systems and networks
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
Nagios: System and Network Monitoring
Nagios: System and Network Monitoring
Pegasus: A framework for mapping complex scientific workflows onto distributed systems
Scientific Programming
A portal for visualizing Grid usage: Research Articles
Concurrency and Computation: Practice & Experience - Workshop on Grid Computing Portals (GCE 2005)
IEEE Internet Computing
Virtual Machine Provisioning Based on Analytical Performance and QoS in Cloud Computing Environments
ICPP '11 Proceedings of the 2011 International Conference on Parallel Processing
Measuring TeraGrid: workload characterization for a high-performance computing federation
International Journal of High Performance Computing Applications
Towards Reproducible eScience in the Cloud
CLOUDCOM '11 Proceedings of the 2011 IEEE Third International Conference on Cloud Computing Technology and Science
Comparison of Multiple Cloud Frameworks
CLOUD '12 Proceedings of the 2012 IEEE Fifth International Conference on Cloud Computing
Abstract Image Management and Universal Image Registration for Cloud and HPC Infrastructures
CLOUD '12 Proceedings of the 2012 IEEE Fifth International Conference on Cloud Computing
Large scale data analytics on clouds
Proceedings of the fourth international workshop on Cloud data management
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We present the design of a dynamic provisioning system that is able to manage the resources of a federated cloud environment by focusing on their utilization. With our framework, it is not only possible to allocate resources at a particular time to a specific Infrastructure as a Service framework, but also to utilize them as part of a typical HPC environment controlled by batch queuing systems. Through this interplay between virtualized and non-virtualized resources, we provide a flexible resource management framework that can be adapted based on users' demands. The need for such a framework is motivated by real user data gathered during our operation of FutureGrid (FG). We observed that the usage of the different infrastructures vary over time changing from being over-utilized to underutilize and vice versa. Therefore, the proposed framework will be beneficial for users of environments such a FutureGrid where several infrastructures are supported with limited physical resources.