The IceProd Framework: distributed data processing for the IceCube neutrino observatory
Research output: Contribution to journal › Journal article › Research › peer-review
IceCube is a one-gigaton instrument located at the geographic South Pole, designed to detect cosmic neutrinos, iden- tify the particle nature of dark matter, and study high-energy neutrinos themselves. Simulation of the IceCube detector and processing of data require a significant amount of computational resources. IceProd is a distributed management system based on Python, XML-RPC and GridFTP. It is driven by a central database in order to coordinate and admin- ister production of simulations and processing of data produced by the IceCube detector. IceProd runs as a separate layer on top of other middleware and can take advantage of a variety of computing resources, including grids and batch systems such as CREAM, Condor, and PBS. This is accomplished by a set of dedicated daemons that process job submission in a coordinated fashion through the use of middleware plugins that serve to abstract the details of job submission and job management from the framework.
Original language | English |
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Journal | Journal of Parallel and Distributed Computing |
Volume | 75 |
Pages (from-to) | 198-211 |
Number of pages | 14 |
ISSN | 0743-7315 |
DOIs | |
Publication status | Published - 2015 |
ID: 129935186