Scientific Computing in the Cloud
IEEE Design & Test
411 on scalable password service
HPDC '05 Proceedings of the High Performance Distributed Computing, 2005. HPDC-14. Proceedings. 14th IEEE International Symposium
Heuristic for resources allocation on utility computing infrastructures
Proceedings of the 6th international workshop on Middleware for grid computing
Contextualization: Providing One-Click Virtual Clusters
ESCIENCE '08 Proceedings of the 2008 Fourth IEEE International Conference on eScience
CLUSTER '07 Proceedings of the 2007 IEEE International Conference on Cluster Computing
Dynamic Provision of Computing Resources from Grid Infrastructures and Cloud Providers
GPC '09 Proceedings of the 2009 Workshops at the Grid and Pervasive Computing Conference
Evaluating the cost-benefit of using cloud computing to extend the capacity of clusters
Proceedings of the 18th ACM international symposium on High performance distributed computing
Dynamic Provisioning of Virtual Organization Clusters
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
Self-provisioned hybrid clouds
Proceedings of the 7th international conference on Autonomic computing
Elastic Site: Using Clouds to Elastically Extend Site Resources
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Adapting market-oriented scheduling policies for cloud computing
ICA3PP'10 Proceedings of the 10th international conference on Algorithms and Architectures for Parallel Processing - Volume Part I
An Analysis of Provisioning and Allocation Policies for Infrastructure-as-a-Service Clouds
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
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Data centers always face challenges of peak and fluctuating resource demand from time to time. Building a data center that is large enough to meet a peak demand is not cost effective. The emerging of Cloud computing model allows the data center to dynamically acquire additional resources on demand and pay only for what resources having been used. So, the data center has a flexibility to satisfy users with higher QoS while keeping the investment on IT infrastructure at an affordable cost. In this work, we present an architecture of autonomic provisioning in High Throughput Cluster (HTC) computing system using resources from Cloud. The system is developed as an extension to Rocks Clusters. It allows a data center to transparently and securely extend a local cluster into remote Cloud computing resources on demand through dynamic provisioning mechanism. We also introduce a set of provisioning policies that are aware of the different resource requirement in each job and adapt the system accordingly. Experiments have been carried out in our testbed to show that the proposed system is self-configured and self-organized.