EGEE News - May 2005
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Hot Topics
3rd EGEE conference in
EGEE celebrated
its first successful year at the 3rd Project Conference in
The conference was superbly organised by GRNET and many of the over 400
delegates spontaneously expressed their great satisfaction for the venue, the
logistics, the social events and the network support. Senior Greek and EU
authorities participated and the event received wide coverage by local and
national media.
Terena
has issued a press release about the conference which
you can find at
http://public.eu-egee.org/pr/
.
The 4th and final EGEE conference for phase 1 of the project, will take place
in
gLite
released
The Middleware
Re-Engineering Activity (JRA1), in collaboration with the Security Activity
(JRA3), released gLite v1.0 early April . This first release of the new and
highly awaited EGEE grid middleware includes the following high-level elements:
Data Management, Computing Element, Storage Element, Catalog and Information
& Monitoring.The new Grid middleware stack is now undergoing intense
testing by SA1 on the certification testbeds and on the Pre-Production Service.
SA1 is focusing its testing on deployability (including ease of installation
and configuration). Meanwhile, NA4 (HEP, biomedical and generic applications)
is joining forces in testing gLite from an application point-of-view (including
security and realistic stress tests).
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Training News
Forthcoming
Training Events
(All events can be accessed through
www.egee.nesc.ac.uk/shedreg/index.html)
PPARC Summer School
9 - 13 May,
Emerging technologies for production grids - NGS and
EGEE: 27 May,
gLite for Application Development: 30 - 31 May
Edinburgh, UK
Induction
to Grid and the NGS: 13 - 14 June,
Training the Trainers - gLite on GENIUS and GILDA: 13
- 15 June,
gLite Admin and Installation: 27 - 29 June,
Summer Schools
3rd International
Summer School on Grid Computing
10 - 22nd July, Vivo
Equense, Italy
(
http://www.dma.unina.it/~murli/GridSummerSchool2005/
)
The school will consist of lectures by experts in various aspects of grid
middleware and grid applications and laboratory sessions in which the students
will carry out practical exercises.
Admissions
A total of 80 students will be admitted to the school. Admission
will be based on applications from the students in which they state their
reason for wanting to learn about grids and with what grid project they are
associated or expect to be associated. The applications will be supported by
one reference letter from the applicant's supervisor.
Regional
EGEE Summer School Budapest
11 - 16th July, Budapest, Hungary
(http://www.egee.hu/grid05/)
Scientists from biology, chemistry, physics, astronomy, geosciences etc., have
already realised that they need efficient ways to collaborate with their colleagues
all over the world to achieve new results by sharing the available
computational resources, databases and scientific instruments. Frontiers of
science can be expanded nowadays only by using enormous amount of computing
power and data storage. The EGEE infrastructure enables scientist to join
virtual organisations, to share their resources and to create and to use
applications in the infrastructure.
The Regional EGEE Grid Summer School aims at introducing Grid technology to
potential users and at studying and practising application developments on the
EGEE infrastructure. The Regional school is open to anyone interested in
the use of EGEE for one's e-Science research. Particularly, researchers and
students from the Central European and South European regions are expected but
anyone interested is warmly welcome.
Training Material
A great deal of training material can be found in the
NA3 Training Material Archive at:
http://www.egee.nesc.ac.uk/trgmat/index.html
Current course material
is available in:
EGEE Induction
Globus Toolkit
LCG2 APIs
LCG2 Installation and Administration
UML for developing web services
Web Services
(The first gLite material will be added in
the coming months.)
Training Survey
Please remember to fill in the training survey form (recently emailed to you) on which you can record your expected trainin