par Aartsen, M. G.;Hanson, Kael 
;Heereman von Zuydtwyck, David ;Meures, Thomas ;O'Murchadha, Aongus ;Pinat, Elisa ;Aguilar Sanchez, Juan Antonio ;Toscano, Simona ; [et al.]
Référence Journal of parallel and distributed computing, 75, page (198-211)
Publication Publié, 2014
;Heereman von Zuydtwyck, David ;Meures, Thomas ;O'Murchadha, Aongus ;Pinat, Elisa ;Aguilar Sanchez, Juan Antonio ;Toscano, Simona ; [et al.]Référence Journal of parallel and distributed computing, 75, page (198-211)
Publication Publié, 2014
Article révisé par les pairs
| Résumé : | IceCube is a one-gigaton instrument located at the geographic South Pole, designed to detect cosmic neutrinos, identify 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. This paper presents the first detailed description of IceProd, a lightweight distributed management system designed to meet these requirements. It is driven by a central database in order to manage mass production of simulations and analysis 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, HTCondor, 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. |
