Abstract
A number of recent enhancements to the Condor batch system have been stimulated by the challenges of LHC computing. The result is a more robust, scalable, and flexible computing platform. One product of this effort is the Condor Job Router, which serves as a high-throughput scheduler for feeding multiple (e.g. grid) queues from a single input job queue. We describe its principles and how it has been used at large scale in CMS production on the Open Science Grid. Improved scalability of Condor is another welcome advance. We describe the scaling characteristics of the Condor batch system under large workloads and when integrating large pools of resources; we then detail how LHC physicists have directly profited under the expanded scaling regime. © 2010 IOP Publishing Ltd.
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CITATION STYLE
Bradley, D., Dasu, S., Livny, M., Mohapatra, A., Tannenbaum, T., & Thain, G. (2010). Condor enhancements for a rapid-response adaptive computing environment for LHC. In Journal of Physics: Conference Series (Vol. 219). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/219/6/062035
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