AGridM 2003

Workshop on Adaptive Grid Middleware

To be held in
New Orleans, Louisiana, September 28, 2003
in conjunction with  PACT 2003



   New Orleans, Louisiana
    Sept. 27--Oct. 1, 2003

Workshop Co-Chairs
Wilson Rivera
University of Puerto Rico Mayaguez, USA
Jaime Seguel
University of Puerto Rico Mayaguez, USA

Program Committee


Ruth Aydt

Rosa M. Badia
UPC, Spain

Michael Benard
HP- Switzerland

Rajkumar Buyya
Monash University, Australia.
Jack Dongarra

University of Tennessee, USA
Sergi Girona
EASi Engineering S. L., Spain

Andrew Grimshaw
Avaki and University of Virginia, USA.

Fabrice Huet
INRIA Sophia-Antipolis, France

John Hurley
Clark Atlanta University, USA

Thilo Kielmann
Vrije University, The Netherlands

Domenico Laforenza

Laurent Lefevre
INRIA, France

Craig A. Lee
The Aerospace Corp., USA

Putchong Uthayopas
Kasetsart university, Thailand

Alexander Reinefeld
ZIB, Germany

Satoshi Sekiguchi
ETL, Japan

Shimojo Shinji
Osaka University, Japan Kenjiro Taura
University of Tokyo, Japan

Albert Zomaya
University of Sydney, Australia


Advanced Program


8:45-9:00am   Opening Remarks

 Wilson Rivera and Jaime Seguel

Co-Chairs AGRIDM 2003


9:00-10:00am    Keynote 

            GridLab:  Dynamic Grid Computing for Science and Engineering

            H. Edward Seidel

            Albert Einstein Institute, Germany


10:00-10:30am    Break


10:30-12:00m Section I


The GridWay Framework for Adaptive Scheduling and Execution on Grids

Eduardo Hudo, Ruben S. Montero, and Ignacio M. Llorente

            CSIC-INTA and Universidad Complutence, Spain


Experience with Parrot:User-Level Transparent Middleware for Data-Intensive Computing

Douglas Thain and Miron Livny

Computer Sciences Department, University of Wisconsin, USA


Satin: Simple and Efficient Java-based Grid Programming

Rob van Nieuwpoort, Jason Maassen, Thilo Kielmann, and Henri E. Bal

Department of Computer Science, Vrije Universiteit, The Netherlands.


12:00-1:30pm Lunch


1:30-3:00pm Section II


Run-time Adaptation of Grid Data Placement Jobs

George Kola, Tevfik Kosar & Miron Livny

Computer Sciences Department, University of Wisconsin, USA


JUXMEM: An Adaptive Supportive Platform for Data Sharing on the Grid

Gabriel Antoniu, Luc Bougé, and Mathieu Jan

IRISA/INRIA and ENS Cachan/Bretagne, France


Progressive Retrieval and Hierarchical Visualization of Large Remote Data

Hans-Christian Hege, Andrei Hutanu1, Ralf Kahler, Andre Merzky, Thomas Radke, Edward Seidel, and Brygg ullmer

Zise Institute Berlin (ZUB) and Albert Einstein Institute, Germany


3:00-3:30pm Break


3:30-5:30pm Section III


An Adaptive File Distribution Algorithm for Wide Area Network

Takashi Hoshino, Kenjiro Taura, and Takashi Chikayama

University of Tokyo, Japan


Network Scheduling for Computational Grid Environments

Martin Swany & Rich Wolski

Department of Computer Science, University of California-Santa Barbara, USA


Reputation-based Grid Resource Selection

Beulah Kurian Alunkal, Ivana Veljkovic, and Gregor von Laszewski

Argonne National Laboratory, Department of Computer Science - Illinois Institute of Technology, and Department of Computer Science and Engineering - Penn State University, USA.


Non-Dedicated Distributed Environment: A Solution for Safe and Continuous Exploitation of Idle Cycles

Reynaldo C. Novaes, Paulo Roisenberg, Roque Scheer, Caio Northfleet,  João H. Jornada, and Walfredo Cirne

Hewlett-Packard Brazil and Universidade Federal de Campina Grande


Scope and Interests: 

Grid computing research focuses on building a large-scale computing infrastructure by linking computing facilities at many distributed locations. By analogy with the electric power Grids, such systems are known as computational Grids. Significant effort has been spent in the design and implementation of middleware software for enabling computational Grids. These software packages have been successfully deployed and it is now possible to build clusters beyond the boundaries of a single local area network. However, the challenging problem of dynamically allocating resources in response to application requests for computational services remains unsolved. Adaptive middleware is software that resides between the application and the computer operating system and enables an application to adapt to changing availability of computing and networking resources.

The purpose of this workshop is to provide an open forum for researchers from hardware and software areas to present, discuss, and exchange research-related ideas, results, and experiences in the area of adaptive middleware for computational Grids. 

Possible topics include, but are not limited to: 

• Hardware/software co-designs
• Languages, compilers, and libraries
• Programming environments
• Distributed resource management systems
• Self-optimizing software systems
• Automatic performance optimization 
• Remote steering and visualization
• Fault-tolerance and replication designs
• Grid-aware clusters
• Knowledge based systems
• Load balancing and load sharing
• Mapping, scheduling and synchronization
• Modeling, simulation and evaluation techniques
• Adaptive parallel applications

Paper Submission and Publication:


AGridM2003 invites authors to submit papers on original and unpublished work in either PS or PDF format via email at Manuscripts must not exceed 12 pages in camera-ready form (8.5x11 inch pages) and should be written in standard IEEE format for conference proceedings. Submission implies the willingness of at least one of the authors to register the conference. All submissions will be refereed, and informal proceedings will be printed and distributed at the workshop. Selected papers will be published in a special issue of the Kluwer Journal of Supercomputing.

Important Dates:

Submission deadline: July 1, 2003
Notification of acceptance: July 31, 2003
Final Manuscript due: September 1, 2003