Dynamic and adaptive data-management in ATLAS
M. Lassnig, V. Garonne, Miguel Castelo‐Branco, Angelos Molfetas · Journal of Physics Conference Series · 2010
Distributed data-management on the grid is subject to huge uncertainties yet static policies govern its usage. Due to the unpredictability of user behaviour, the high-latency and the heterogeneous nature of the environment, distributed data-management on the grid is challenging. In this paper we present the first steps towards a future dynamic data-management system that adapts to the changing conditions and environment. Such a system would eliminate the number of manual interventions and remove unnecessary software layers, thereby providing a higher quality of service to the collaboration.