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Proceedings of the 5th IEEE workshop on Challenges of large applications in distributed environments, CLADE@HPDC 2007, Monterey, California, USA, June 25, 2007

We are pleased to welcome you to the 5th IEEE Workshop on Challenges of Large Applications in Distributed Environments -- CLADE 2007. This year's workshop is held in conjunction with the 16th International Symposium on High Performance Distributed Computing (HPDC 2007). 
 
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. The CLADE series of workshops addresses the challenges faced by large-scale application developers working in heterogeneous environments. A variety of complex issues have been covered at the workshops including adaptive algorithm development, middleware capabilities, and resource management and dynamic load balancing. Large scale applications in science, engineering, medicine, business, economics, education, and other disciplines have been presented at the workshops. 
 
CLADE 2007 authors will discuss a wide variety of applications. A library for parallel tree search algorithms will speed the analysis of large astronomical datasets. An approach for managing parameter sweeps will make large scale computations feasible in a range of disciplines. Highly scalable algorithms in plasma turbulence will make it possible to solve the most challenging numerical simulations which are a key in the design and construction of fusion devices. In the medical field, computational grids are successfully being used to produce and manage hundreds of millions of docking simulations, increasing the understanding of malaria and the avian flu. Scientists are able to analyze and share pathological images for cancer treatment. 
 
In addition, the program includes a several invited speakers, a panel addressing the challenges of distributed data and a keynote speech by Scott Oster from The Ohio State University who will be discussing the National Cancer Institute's cancer Biomedical Informatics Grid, caBIG. We hope that these proceedings will serve as a valuable reference for security researchers and developers.