|
|
Munich, Germany
June 10, 2009
|
|
PROGRAM
COMMITTEE
|
|
Rosa
Badia, Barcelona Supercomp. Center, Spain
Mark Baker, University of Reading, UK
Jean-Yves Berthou, EDF, France
Bruce Boghosian, Tufts University, USA
Franck Cappello, INRIA, France
Ewa Deelman, Univ. of Southern California, USA
Frédéric Desprez, INRIA, France
Daniel Grosu, Wayne State University, USA
Yutaka Ishikawa, University of Tokyo, Japan
Daniel Katz, Louisiana State University, USA
Thilo Kielmann, Vrije Universiteit, The Netherlands
Nectarios Koziris, Nat. Tech. Univ. Athens, Greece
Erwin Laure, CERN, Switzerland
Craig Lee, The Aerospace Corp, USA
John Morrison, University College Cork, Ireland
Antonio Plaza, University of Extremadura, Spain
Omer Rana, Cardiff University, UK
Matei Ripeanu, Univ. of British Columbia, Canada
Frédéric Suter, CNRS, France
Jon Weissman, University of Minnesota, USA
|
|
IMPORTANT
DATES
|
|
Submission
Deadline: March 2, 2009
Notification of Acceptance: March 16, 2009
Final Manuscripts Due: April 2, 2009
Workshop: June 10, 2009
|
|
SPONSORS
(pending)
|
|
ACM
(Association for Computing Machinery)
National
Science Foundation
U.S. Dept. of
Energy, Office of Science
|
|
The CLADE 2009
workshop will be held in conjunction with the 18th
International Symposium on High Performance Distributed Computing (HPDC-18), in
Munich,
Germany.
A
new era of large scale, distributed applications are exploiting
advances in
networking, high-end computers, large data stores and middleware
capabilities
to address challenging problems. This
workshop focuses on the complex issues that arise in large-scale
applications
of distributed computation, and promotes the development of innovative
applications that effectively use distributed resources, e.g., to adapt
to
heterogeneity and dynamics in space and time. This includes recent
results on
the development, deployment, management and evaluations of large scale
applications in science, engineering, medicine, business, economics,
education, and other disciplines, on Grids and other distributed
heterogeneous
and dynamic computing environments.
Topics of
interest to this workshop include (but are not
limited to) applications that illustrate advances in the following
areas:
- Large-scale
distributed applications, both
computational and data-centric
- Application-specific
portals in distributed
environments
- Distributed
problem-solving environments
- Distributed,
collaborative science
applications
- Large,
distributed data analysis
- Applications
with heterogeneous spatial and
temporal characteristics
- Distributed,
multidimensional, dynamically
adaptive applications
- Applications of
new theories and tools for
constructing adaptive software systems
- Enterprise/data-center
applications
- Applications on
Emerging Distributed Environments such as Clouds
- Examples of
distributed applications benefiting
from advances in
- Worlflow tools
in distributed environments
- Application
hosting frameworks for distributed environments
- Runtime support
for intelligent, adaptive
systems
- Programming
models for heterogeneous and
dynamic computation
- Portability,
quality of service, or
fault-tolerance in cluster and Grid computation
- Resource
management, dynamic scheduling or
load balancing in heterogeneous environments
|