Speaker
Dr
Dimitri BOURILKOV
(University of Floria)
Description
A key feature of collaboration in large scale scientific projects is
keeping a log of what and how is being done - for private use and
reuse and for sharing selected parts with collaborators and peers,
often distributed geographically on an increasingly global scale.
Even better if this log is automatic, created on the fly while
a scientist or software developer is working in a habitual way,
without the need for extra efforts. The CAVES - Collaborative Analysis
Versioning Environment System - and CODESH - COllaborative DEvelopment
SHell - projects address this problem in a novel way. They build on the
concepts of virtual state and virtual transition to enhance the
collaborative experience by providing automatic persistent virtual
logbooks. CAVES is designed for sessions of distributed data analysis
using the popular ROOT framework, while CODESH generalizes the same
approach for any type of work on the command line in typical UNIX
shells like bash or tcsh. Repositories of sessions can be configured
dynamically to record and make available the knowledge accumulated in
the course of a scientific or software endeavor. Access can be
controlled to define logbooks of private sessions or sessions shared
within or between collaborating groups. As a typical use case we
concentrate on building working scalable systems for analysis of
Petascale volumes of data expected with the start of the LHC
experiments. Our approach is general enough to find applications
in many scientific fields.
| Presentation type (oral | poster) | oral |
|---|
Primary author
Dr
Dimitri BOURILKOV
(University of Floria)
