Speaker
Mr
Fabrizio Furano
(INFN sez. di Padova)
Description
HEP data processing and analysis applications typically deal
with the problem of accessing and processing data at high speed.
Recent study, development and test work has shown that the latencies
due to data access can often be hidden by parallelizing them
with the data processing, thus giving the ability
to have applications which process remote data with a high level of efficiency.
Techniques and algorithms able to reach this result have been
implemented in the client side of the Scalla/xrootd system, and
in this contribution we also describe the results of some
tests done in order to compare their performance and characteristics.
These techniques, if used together with multiple streams data access,
can also be effective in making possible to efficiently and
transparently deal with data repositories accessible via a
Wide Area Network.
Author
Mr
Fabrizio Furano
(INFN sez. di Padova)
Co-author
Mr
Andrew Hanushevsky
(SLAC - Stanford Linear Accelerator Center)
