Speaker
Mr
Jakub MOSCICKI
(CERN)
Description
Currently the largest Grids lack an appropriate level of
the Quality of Service
(QoS) in two ways: due to size and complexity the Grid is
not enough reliable and a
simple, batch-oriented processing model is suboptimal
for a number of
applications. User-level scheduling is a light software
technique that enables new
capabilities to be added and QoS characteristics and
reliability to be improved,
on top of the existing Grid middleware and infrastructure.
User-level scheduling techniques may be used to reduce
the job turnaround
time and to provide a more stable and predictable job
output rate. Splitting
the processing into many fine-grained tasks improves the
load balancing and
ensures that the worker nodes are used
efficiently. As the result the computing resources may be
returned to the Grid
faster. We discuss the implications of this technique for
the users, the application
developers and the resource providers.
Applications which have been interfaced with the user-level
scheduler follow the
master/worker model and include High Energy Physics data
analysis, Monte Carlo
simulation, Biomed applications and others. Distributed
frequency analysis for
the ITU and the autodoc-based drug discovery are the recent
large-scale activities
which are discussed in separate talks during the conference.
Author
Mr
Jakub MOSCICKI
(CERN)
Co-authors
Andrea Manara
(Internation Telecommunication Union, Geneva)
Hurng Chun Lee
(CERN/ASGC Taipei)
Patricia Mendez
(CERN)
Susanna Guatelli
(INFN Genova)