TY - JOUR
T1 - Raptor
T2 - a network tool for mitigating the impact of spatially correlated failures in infrastructure networks
AU - Das, Arun
AU - Sen, Arunabha
AU - Qiao, Chunming
AU - Ghani, Nasir
AU - Mitton, Nathalie
N1 - Funding Information:
Acknowledgments This work was supported in part by the NSF grant 1441214, and by grant HDTRA1-14-C-0015 from the U.S. Defense Threat Reduction Agency.
Funding Information:
Abstract Current practices of fault-tolerant network design ignore the fact that most network infrastructure faults are localized or spatially correlated (i.e., confined to geographic regions). Network operators require new tools to mitigate the impact of such region-based faults on their infrastructures. Utilizing the support from the U.S. Department of Defense, and by consolidating a wide range of theories and solutions developed in the last few years, the authors of this paper have developed RAPTOR, an advanced Network Planning and Management Tool that facilitates the design and provisioning of robust and resilient networks. The tool provides multi-faceted network design, evaluation, and simulation capabilities for network planners. Future
Publisher Copyright:
© 2017, Institut Mines-Télécom and Springer-Verlag France SAS.
PY - 2018/2/1
Y1 - 2018/2/1
N2 - Current practices of fault-tolerant network design ignore the fact that most network infrastructure faults are localized or spatially correlated (i.e., confined to geographic regions). Network operators require new tools to mitigate the impact of such region-based faults on their infrastructures. Utilizing the support from the U.S. Department of Defense, and by consolidating a wide range of theories and solutions developed in the last few years, the authors of this paper have developed Raptor, an advanced Network Planning and Management Tool that facilitates the design and provisioning of robust and resilient networks. The tool provides multi-faceted network design, evaluation, and simulation capabilities for network planners. Future extensions of the tool currently being worked upon not only expand the tool’s capabilities, but also extend these capabilities to heterogeneous interdependent networks such as communication, power, water, and satellite networks.
AB - Current practices of fault-tolerant network design ignore the fact that most network infrastructure faults are localized or spatially correlated (i.e., confined to geographic regions). Network operators require new tools to mitigate the impact of such region-based faults on their infrastructures. Utilizing the support from the U.S. Department of Defense, and by consolidating a wide range of theories and solutions developed in the last few years, the authors of this paper have developed Raptor, an advanced Network Planning and Management Tool that facilitates the design and provisioning of robust and resilient networks. The tool provides multi-faceted network design, evaluation, and simulation capabilities for network planners. Future extensions of the tool currently being worked upon not only expand the tool’s capabilities, but also extend these capabilities to heterogeneous interdependent networks such as communication, power, water, and satellite networks.
KW - Fault-tolerant network design
KW - Geographically correlated faults
KW - Network robustness and resilience
KW - Network tool
KW - Region-based faults
KW - Spatially correlated faults
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U2 - 10.1007/s12243-017-0609-0
DO - 10.1007/s12243-017-0609-0
M3 - Article
AN - SCOPUS:85029002549
SN - 0003-4347
VL - 73
SP - 153
EP - 164
JO - Annales des Telecommunications/Annals of Telecommunications
JF - Annales des Telecommunications/Annals of Telecommunications
IS - 1-2
ER -