Speaker
Alexandre Vaniachine
(Argonne National Laboratory)
Description
To process the vast amount of data from high energy physics experiments, physicists rely
on Computational and Data Grids; yet, the distribution, installation, and updating of a
myriad of different versions of different programs over the Grid environment is
complicated, time-consuming, and error-prone.
We report on the development of a Grid Software Installation Management Framework
(GSIMF) for managing versioned files with software applications and file-based databases
over the Grid infrastructure. A set of Grid services and tools automates the software and
databases installation management process by installing and removing software packages
on behalf of users.
We have developed key prototype Grid services for querying available software packages
and installing software on distributed Grid computing elements, demonstrated the
prototype services using an ATLAS analysis software package, and explored and
investigated other software and databases installation management strategies. We report
on hardening the implementations and enhancing the functionality of the prototype Grid
services and studies of the applicability of GSIMF for the installation and management of
database releases for the ATLAS experiment at the LHC.
The new Grid management framework should enable users to remotely install programs
and tap into the computing power provided by Grids. The new management framework
should find use in various data intensive and collaborative applications, such as nuclear
physics experiments, space science observations, and climate modeling.
Primary authors
Alexandre Vaniachine
(Argonne National Laboratory)
Balamurali Ananthan
(Tech-X Corporation)
Edward May
(Argonne National Laboratory)
Gerald Gieraltowski
(Argonne National Laboratory)
Nanbor Wang
(Tech-X Corporation)
