|
|
Boston, Massachusetts
June
23, 2008
|
|
GENERAL
CHAIR
|
|
Yoonhee
Kim, Sookmyung Women's University
|
|
PROGRAM
CHAIR
|
|
Xiaolin
(Andy) Li, Oklahoma State University
|
|
IMPORTANT
DATES
|
|
Submission
Deadline: March 7, 2008
Notification of Acceptance: March 27, 2008
Final Manuscripts Due: April 10, 2008
Workshop: June 23, 2008
|
|
The
6th ACM/IEEE International Workshop on Challenges of Large Applications in
Distributed Environments (CLADE 2008) will be held in conjunction with
the 17th
International Symposium on High Performance Distributed Computing (HPDC
2008), in
Boston,
Massachusetts.
Distributed
cyberinfrastructure for the realization of e-Science and e-Business
continues to be developed at a rapid pace and across diverse
disciplines. This development reinforces the need for
effective distributed applications. From sensor data to online data
collections to remote visualization, the most challenging problems will
be solved by applications that can make effective use of such
distributed, heterogeneous resources. This workshop will
highlight the successful development, deployment, management and
evaluation 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:
- Application-specific
portals and problem solving Environment
- e-Science
applications in physics, biology, astronomy, chemistry, finance,
engineering, and medicine, etc.
- Large,
distributed data analysis
- Scientific
workflow
- 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
- Variable
granularity environments
- Examples of
distributed applications benefiting
from advances in
- 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
|
