Abstract
The FabrIc for Frontier Experiments (FIFE) project is a new, far-reaching initiative within the Fermilab Scientific Computing Division to drive the future of computing services for experiments at FNAL and elsewhere. It is a collaborative effort between computing professionals and experiment scientists to produce an end-to-end, fully integrated set of services for computing on the grid and clouds, managing data, accessing databases, and collaborating within experiments. FIFE includes 1) easy to use job submission services for processing physics tasks on the Open Science Grid and elsewhere; 2) an extensive data management system for managing local and remote caches, cataloging, querying, moving, and tracking the use of data; 3) custom and generic database applications for calibrations, beam information, and other purposes; 4) collaboration tools including an electronic log book, speakers bureau database, and experiment membership database. All of these aspects will be discussed in detail. FIFE sets the direction of computing at Fermilab experiments now and in the future, and therefore is a major driver in the design of computing services worldwide.
Highlights
As Fermilab becomes the world leader in Intensity Frontier (IF) particle physics research, the computing requirements of IF experiments will increase by an order of magnitude compared to current on-site resources
With the advent of larger datasets, the importance of effective offline computing design has come to the forefront for all aspects of particle physics
The availability of a well designed, efficient, and powerful computing model is critical to success of the new experiments and FIFE will be at the forefront of this process for Fermilab
Summary
1. Introduction As Fermilab becomes the world leader in Intensity Frontier (IF) particle physics research, the computing requirements of IF experiments will increase by an order of magnitude compared to current on-site resources. The FabrIc for Frontier Experiments (FIFE) project aims to incorporate existing tools into an integrated framework to improve the design and implementation of these resources for IF experiments. By integrating these facilities and tools into the computing model of Intensity Frontier experiments, FIFE will enable them to achieve their physics goals and perhaps beyond.
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