Organizing Committee

Challenges of Large Applications in Distributed Environments (CLADE) 2010

To be held in conjunction with HPDC-2010, 22 June 2010, Chicago, IL

There is an ongoing set of unsolved large-scale problems, requiring novel, large-scale, distributed applications that need to use advanced distributed cyberinfrastructure. This workshop focuses on the complex issues, such as adapting to heterogeneity and being dynamic in space and time, that arise in developing, deploying, and executing large-scale distributed computing applications in science, engineering, medicine, business, economics, education, and other disciplines. This includes recent results on large scale and/or innovative applications that effectively use 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 computation- 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
o   Workflow tools in distributed environments
o   Application hosting frameworks for distributed environments
o   Runtime support for intelligent, adaptive systems
o   Programming models for heterogeneous and dynamic computation
o   Portability, quality of service, or fault-tolerance in cluster and grid computation
o   Resource management, dynamic scheduling or load balancing in heterogeneous environments