A Simulation Platform

for Experimentation and Evaluation of

Distributed Computing-Systems

The Speed-CS Project at the University of Arizona is creating a workbench that will facilitate rapid composition, evaluation, modification and validation of applications of distributed computing technology.  Advances in procesor technology have made it possible to bestow computational  and communications power to devices ranging from simple sensors to more complex control and decision systems. Despite the phenomenal growth in applications of distributed computing systems, it is safe to suggest that we have only begun to scratch the surface. We expect a proliferation of systems consisting of heterogeneous, geographically distributed platforms that operate intelligently, communicate reliably and can be reconfigured easily. Unfortunately, current software support is often limited to isolated models and simulations.  As a result, we are severely restricted in our ability to assess system performance and reliability.  The SPEED-CS project is addressing this growing need.


 Links for Work in Progress: 

 Bit Mining


Funded by the National Science Foundation

Next Generation Software Program
Grant # EIA-9975050



 
Project Participants
Suvrajeet Sen, Systems & Industrial Engineering, The University of Arizona
Frank Ciarallo, Systems & Industrial Engineering, The University of Arizona
Hessam Sarjoughian, AI and Simulation Group, Electrical & Computer Engineering, The University of Arizona
Rich Schlichting, Computer Science, The University of Arizona
Bernard Zeigler, Electrical & Computer Engineering, The University of Arizona