PERFORM

 

Experimental Validation of Large-Scale Networked Software Systems

NSF 0086096

About the Project

The "Experimental Validation of Large-Scale Networked Software Systems" project was supported by the Information Technology Research (ITR) program of the National Science Foundation under contract number 0086096. It was a joint effort of four research groups at the University of Illinois.

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Background

Large-scale networked software systems are hard to design, and even more difficult to validate. Validation of such systems is increasingly important, since they are more and more being called on to perform critical functions. This validation difficulty stems from the inherent complexity of these systems, and often is due to the fact that they are often designed to adapt to variable workloads and operating conditions at the process, node, and network levels. Incorrect operation during periods of dynamic adaptation can lead to unpredictable and potentially hazardous consequences. In order to ensure that such systems operate correctly in critical environments, one must perform validations to confirm that they will function reliably in the presence of faults/failures, have predictable performance, and will continue to operate when intrusions occur. Validation of multiple behavior dimensions (e.g., reliability/availability, performance, and survivability) is also critical. This research developed the theory, methodology, and tools necessary to experimentally validate the reliability/availability, performance, and survivability of large-scale networked software systems. The intention was to develop a comprehensive framework for experimentally validating large-scale networked software systems. Taken as a whole, this work provided a sound and fundamental approach to validation of networked software and applications.

 


Papers generated by the project:

This material is based upon work supported by the National Science Foundation under Grant No. 0086096. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

 


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