@inproceedings{Chen2018,
 address = {New Orleans, LA},
 author = {Jingkai Chen and Cheng Fang and Christian Muise and Peng Yu and Howard E. Shrobe and Brian C. Williams},
 booktitle = {AAAI Workshop on Artificial Intelligence for Cyber Security (AICS-2018)},
 title = {RADMAX: Risk and Deadline Aware Planning for Maximum Utility},
 year = {2018},
 url = {http://groups.csail.mit.edu/mers/publication_uploads/Publications/2018/AAAI18Chen/radmaxAAAI18.pdf},
 abstract = {Current  network  approaches  aim  to  maximize  network  utilization when routing flows. While such approaches are fast
and usually result in acceptable behavior, existing methods are not
mission aware. There is no concept of utility maximization, no capability to handle flows with specified deadlines and loss requirements, and no guarantees over the probability of network saturation.
In this paper, we present RADMAX: a system for Risk And
Deadline Aware Planning for Maximum Utility based on constraint programming, which allows us to handle higher level
mission  specifications.  We  show  the  correctness  of  RADMAX with respect to loss and delay bounds, provide results
for the optimality of RADMAX with respect to the mission
utility,  and  review  current  results  on  computational  performance}
}

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C."],"year":2018,"bibtype":"inproceedings","biburl":"www.haz.ca/publications.bib","bibdata":{"bibtype":"inproceedings","type":"inproceedings","address":"New Orleans, LA","author":[{"firstnames":["Jingkai"],"propositions":[],"lastnames":["Chen"],"suffixes":[]},{"firstnames":["Cheng"],"propositions":[],"lastnames":["Fang"],"suffixes":[]},{"firstnames":["Christian"],"propositions":[],"lastnames":["Muise"],"suffixes":[]},{"firstnames":["Peng"],"propositions":[],"lastnames":["Yu"],"suffixes":[]},{"firstnames":["Howard","E."],"propositions":[],"lastnames":["Shrobe"],"suffixes":[]},{"firstnames":["Brian","C."],"propositions":[],"lastnames":["Williams"],"suffixes":[]}],"booktitle":"AAAI Workshop on Artificial Intelligence for Cyber Security (AICS-2018)","title":"RADMAX: Risk and Deadline Aware Planning for Maximum Utility","year":"2018","url":"http://groups.csail.mit.edu/mers/publication_uploads/Publications/2018/AAAI18Chen/radmaxAAAI18.pdf","abstract":"Current network approaches aim to maximize network utilization when routing flows. While such approaches are fast and usually result in acceptable behavior, existing methods are not mission aware. There is no concept of utility maximization, no capability to handle flows with specified deadlines and loss requirements, and no guarantees over the probability of network saturation. In this paper, we present RADMAX: a system for Risk And Deadline Aware Planning for Maximum Utility based on constraint programming, which allows us to handle higher level mission specifications. We show the correctness of RADMAX with respect to loss and delay bounds, provide results for the optimality of RADMAX with respect to the mission utility, and review current results on computational performance","bibtex":"@inproceedings{Chen2018,\n address = {New Orleans, LA},\n author = {Jingkai Chen and Cheng Fang and Christian Muise and Peng Yu and Howard E. Shrobe and Brian C. Williams},\n booktitle = {AAAI Workshop on Artificial Intelligence for Cyber Security (AICS-2018)},\n title = {RADMAX: Risk and Deadline Aware Planning for Maximum Utility},\n year = {2018},\n url = {http://groups.csail.mit.edu/mers/publication_uploads/Publications/2018/AAAI18Chen/radmaxAAAI18.pdf},\n abstract = {Current network approaches aim to maximize network utilization when routing flows. While such approaches are fast\nand usually result in acceptable behavior, existing methods are not\nmission aware. There is no concept of utility maximization, no capability to handle flows with specified deadlines and loss requirements, and no guarantees over the probability of network saturation.\nIn this paper, we present RADMAX: a system for Risk And\nDeadline Aware Planning for Maximum Utility based on constraint programming, which allows us to handle higher level\nmission specifications. We show the correctness of RADMAX with respect to loss and delay bounds, provide results\nfor the optimality of RADMAX with respect to the mission\nutility, and review current results on computational performance}\n}\n\n","author_short":["Chen, J.","Fang, C.","Muise, C.","Yu, P.","Shrobe, H. E.","Williams, B. 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