128 research outputs found
Virtual Data in CMS Analysis
The use of virtual data for enhancing the collaboration between large groups
of scientists is explored in several ways:
- by defining ``virtual'' parameter spaces which can be searched and shared
in an organized way by a collaboration of scientists in the course of their
analysis;
- by providing a mechanism to log the provenance of results and the ability
to trace them back to the various stages in the analysis of real or simulated
data;
- by creating ``check points'' in the course of an analysis to permit
collaborators to explore their own analysis branches by refining selections,
improving the signal to background ratio, varying the estimation of parameters,
etc.;
- by facilitating the audit of an analysis and the reproduction of its
results by a different group, or in a peer review context.
We describe a prototype for the analysis of data from the CMS experiment
based on the virtual data system Chimera and the object-oriented data analysis
framework ROOT. The Chimera system is used to chain together several steps in
the analysis process including the Monte Carlo generation of data, the
simulation of detector response, the reconstruction of physics objects and
their subsequent analysis, histogramming and visualization using the ROOT
framework.Comment: Talk from the 2003 Computing in High Energy and Nuclear Physics
(CHEP03), La Jolla, Ca, USA, March 2003, 9 pages, LaTeX, 7 eps figures. PSN
TUAT010. V2 - references adde
Data Assimilation Technique For Flood Monitoring and Prediction
This paper focuses on the development of methods and cascade of models for flood monitoring and
forecasting and its implementation in Grid environment. The processing of satellite data for flood extent mapping
is done using neural networks. For flood forecasting we use cascade of models: regional numerical weather
prediction (NWP) model, hydrological model and hydraulic model. Implementation of developed methods and
models in the Grid infrastructure and related projects are discussed
Intelligent Model of User Behavior in Distributed Systems
We present a complex neural network model of user behavior in distributed systems. The model
reflects both dynamical and statistical features of user behavior and consists of three components: on-line and
off-line models and change detection module. On-line model reflects dynamical features by predicting user
actions on the basis of previous ones. Off-line model is based on the analysis of statistical parameters of user
behavior. In both cases neural networks are used to reveal uncharacteristic activity of users. Change detection
module is intended for trends analysis in user behavior. The efficiency of complex model is verified on real data of
users of Space Research Institute of NASU-NSAU
Обеспечение безопасности Grid-систем на основе модели поведения пользователей
Приведен обзор моделей и методов обеспечения безопасности в Grid-системах, базирующихся на мониторинге поведения пользователей. Предложен подход к обеспечению безопасности Grid-систем на основе построения профиля пользователя с параметрами запускаемых им задач. Приведены результаты экспериментов на основе реальных данных, полученных в Grid-системе GILDA-EGEE
WORKFLOW MODELLING IN GRID SYSTEM FOR SATELLITE DATA PROCESSING
Abstract: This paper focuses on a problem of Grid system decomposition by developing its object model. Unified Modelling Language (UML) is used as a formalization tool. This approach is motivated by the complexity of the system being analysed and the need for simulation model design
HPCCP/CAS Workshop Proceedings 1998
This publication is a collection of extended abstracts of presentations given at the HPCCP/CAS (High Performance Computing and Communications Program/Computational Aerosciences Project) Workshop held on August 24-26, 1998, at NASA Ames Research Center, Moffett Field, California. The objective of the Workshop was to bring together the aerospace high performance computing community, consisting of airframe and propulsion companies, independent software vendors, university researchers, and government scientists and engineers. The Workshop was sponsored by the HPCCP Office at NASA Ames Research Center. The Workshop consisted of over 40 presentations, including an overview of NASA's High Performance Computing and Communications Program and the Computational Aerosciences Project; ten sessions of papers representative of the high performance computing research conducted within the Program by the aerospace industry, academia, NASA, and other government laboratories; two panel sessions; and a special presentation by Mr. James Bailey
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