[Todos] (Recordatorio) Charla "Grid Computing" del Prof. Wilson Rivera, Martes 17/04 16:00 hs.

[pb4i en dc.uba.ar]

El Laboratorio de Sistemas Complejos del Departamento de Computacion
invita a la siguiente charla:

"Grid Computing and Technical Challenges for Storage and Computing
Resource Management"
Prof. Wilson Rivera, Parallel and Distributed Computing Laboratory,
University of Puerto Rico

Fecha: Martes 17 de abril
Hora: 16:00 hs
Lugar: Laboratorio 5 del departamento de Computación, Pabellón 1.



ABSTRACT
Great advances in communications and networking technologies are demanding
new theories, methods and techniques to integrate effectively
heterogeneous resources including computational nodes, storage units, and
sensor networks. Grid computing provides a new vision of resource
integration. Grids can be viewed as virtual organizations (VO) composed by
resources spread geographically, and managed by multiple and independent
administrative domains. The first generation of grid technologies has
demonstrated the feasibility of grids for addressing challenging large
scale problems. As new applications become more dynamic and net centric, a
major challenge in this new paradigm is how to evolve, scale and respond
to unpredictable web service demands and events.

In the first part of this talk we overview the technical challenges for
storage and resource management under unpredictable conditions, and the
software/network architecture and implementation of grid environments as
well.

In the second part of this talk, we dive into the details of two projects:
The Collaborative and Adaptive Sensing of the Atmosphere (CASA) and the
Wide Area Large Scale Automated Information Processing (WALSAIP). The CASA
project is an U.S. National Science Foundation Engineering Research Center
investigating the design and implementation of a dense network of lowpower
meteorological radars whose goal is to collaboratively and adaptively
sense the lowest few kilometers of the earth's atmosphere. In this project
we have integrated radar and grid technologies to deploy the prototype of
a grid-service based system to access and manipulate data from a radar
network. The WALS-AIP project, also funded by the US National Science
Foundation, aims at developing an infrastructure for the treatment of
signalbased information arriving from physical sensors in a wide-area,
large scale environment. In this project we are developing a grid-based
tool to define workflow composition of signal processing operators as an
application service. This tool allows the composition of operators that
may be
geographically distributed and provided by diverse administrative domains.




Dr. Wilson Rivera
University of Puerto Rico Mayagüez

Wilson Rivera is an Associate Professor at the University of Puerto Rico
Mayagüez Campus (UPRM), where he leads the Parallel and Distributed
Computing Laboratory. His current funded projects address fundamental
research problems in the areas of Grid computing (automated Grid
deployment, adaptive grid services, dynamic resource management and Grid
performance) and workflow management (workflow modeling, metadata
description and dynamic scheduling). Dr. Rivera is also executive director
for the Institute for Computing and Informatics Studies at UPRM and is
faculty member of the NSF Center for Subsurface Sensing and Imaging
Systems (CenSSIS) and the NSF Center for Collaborative Adaptive Sensing of
the Atmosphere (CASA).