Approximate Packet Classifiers With Controlled Accuracy

Performing exact computations can require significant resources. Approximate computing allows to alleviate resource constraints, sacrificing the accuracy of results. In this work, we consider a generalization of the classical packet classification problem. Our major contribution is to introduce representations of approximate packet classifiers with controlled accuracy and optimization techniques t...