@COMMENT This file was generated by bib2html.pl version 0.94
@COMMENT written by Patrick Riley
@COMMENT This file came from Sanjit Seshia's publication pages at http://www.eecs.berkeley.edu/~sseshia
@InProceedings{bjorner-hvc16,
author = {Nikolaj Bjorner and Garvit Juniwal and Sanjit A. Seshia and George Varghese and Ratul Mahajan},
title = {{ddNF}: An Efficient Data Structure for Header Spaces},
booktitle = {Proceedings of the Haifa Verification Conference (HVC)},
month = {November},
year = {2016},
pages = "49--64",
abstract = {Network Verification is emerging as a critical enabler to manage large
complex networks. In order to scale to data-center networks found in Microsoft Azure we developed a new data structure called ddNF,
disjoint difference Normal Form, that serves as an efficient
container for a small set of equivalence classes over header spaces.
Our experiments show that
ddNFs outperform representations proposed in previous work, in particular
representations based on BDDs, and is especially suited for incremental
verification. The advantage is observed empirically;
in the worst case ddNFs are
exponentially inferior than using BDDs to represent equivalence classes.
We analyze main characteristics of ddNFs to explain the advantages
we are observing.},
wwwnote = {Best Paper Award.}
}