Dynamic virtual clusters in a grid site manager
By Jeffrey S. Chase, David E. Irwin, Laura E. Grit, Justin D. Moore, Sara Sprenkle. High Performance Distributed Computing, 2003. Proceedings. 12th IEEE International Symposium on, 2003
336 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/9c0ca12bc651dbfe08fa5e96a4411af192fdb3c7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Rajkumar Buyya
- Marty A. Humphrey
- Ming Mao
- T. Freeman
- Daniel Nurmi
- Ian T Foster
- K. Keahey
- Jeffrey S. Chase
In Information Systems
- Rajkumar Buyya
- Marty A. Humphrey
- Ming Mao
- R. Wolski
- T. Freeman
- Graziano Obertelli
- Dmitrii Zagorodnov
- Lamia Youseff
Citations in the corpus
- Evaluating the cost-benefit of using cloud computing to extend the capacity of clusters (2009, background): “Existing systems based on virtual machines can manage a cluster of computers by enabling users to create virtual workspaces [20] or virtual clusters [13, 6, 14] atop the actual physical infrastructure.”
- Virtual workspaces: Achieving quality of service and quality of life in the Grid (2005, methodology): “For example, a physical machine configured as an ATLAS Grid 3 node using the Pacman configuration software [6], a virtual cluster created with a Cluster on Demand (COD) software [7], a cluster of virtual machines configured with the software configuration required by Open Science Grid (OSG) [8], and”
- The Eucalyptus Open-Source Cloud-Computing System (2009, methodology): “Finally, we provide evidence that EUCALYPTUS enables users familiar with existing Grid and HPC systems to explore new cloud computing functionality while maintaining access to existing, familiar application development software and Grid middle-ware.”
- Online optimization for scheduling preemptable tasks on IaaS cloud systems (2012, background): “Computation-intensive users can reserve resources with on-demand characteristics to create their virtual private clouds [2,12,5,47,21,19].”
- SHARP: an architecture for secure resource peering (2003, background): “Many systems have defined suitable abstractions for resource slices on individual nodes [6, 21, 7, 44, 30] or across groups of nodes [4, 11, 36, 5, 14].”
- Scientific Cloud Computing: Early Definition and Experience (2008, methodology): “The Cluster-on-Demand (COD) [3, 14] project implements a virtual cluster and with the objective to separate the cluster usage from the cluster management.”
- Auto-scaling to minimize cost and meet application deadlines in cloud workflows (2011, background): “These projects attempt to achieve application performance goals through dynamic resource provisioning in virtualized environments.”