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Monterey Bay, California
June 25, 2007
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IMPORTANT DATES
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Submission
Deadline: February 28, 2007
Notification of Acceptance: March 28, 2007
Final Manuscripts Due: April 25, 2007
Workshop: June 25, 2007
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The CLADE 2007 workshop will be held in conjunction with the 16th
International Symposium on High Performance Distributed Computing (HPDC-16), in
Monterey Bay, California
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
- Autonomic applications and runtime systems
- 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
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