Condor: a distributed job scheduler
By Todd Tannenbaum, Derek Wright, Karen Miller, Miron Livny. 2001
437 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/92d41ed0b2c7df57b8b5e72854bd1137ec1bb090
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Jia Yu
- Rajkumar Buyya
- Ganesh Ananthanarayanan
- Miron Livny
- D. Thain
- Srikanth Kandula
- Aditya Akella
- Chen-Khong Tham
Citations in the corpus
- A Taxonomy of Workflow Management Systems for Grid Computing (2005, background): “Condor DAGman [120]).”
- Distributed computing in practice: the Condor experience (2005, unknown): “Like other batch systems, Condor provides a job management mechanism, scheduling policy, priority scheme, resource monitoring, and resource management [37,38].”
- Multi-resource packing for cluster schedulers (2014, background): “For scale, performance and reliability, today’s data-parallel cluster schedulers, as well as earlier grid computing schedulers [23], breakdown cluster scheduling into three parts.”
- Cost-based scheduling of scientific workflow applications on utility grids (2005, background): “Grids Proceedings of the First International Conference on e-Science and Grid Computing (e-Science'05) 0-7695-2448-6/05 $20.00 © 2005 IEEE major steps in workflow scheduling: performance estimation, workflow planning and workflow execution with run-time rescheduling.”
- A taxonomy of scientific workflow systems for grid computing (2005, methodology): “[ 19 ] DAG Abstract User-directed -Language-based Centralized Local Dynamic -Just in-time Performancedriven Task Level”
- Condor and the Grid (2003, background): “With these mechanisms, Condor can do more than effectively manage dedicated compute clusters [ 45 , 46].”