TY - JOUR
T1 - Survivability of multiagent-based supply networks
T2 - A topological perspective
AU - Thadakamalla, Hari Prasad
AU - Raghavan, Usha Nandini
AU - Kumara, Soundar
AU - Albert, Réka
N1 - Funding Information:
We thank the anonymous reviewers for their helpful comments. We acknowledge DARPA for funding this work under grant MDA972-01-1-0038 as part of the UltraLog program.
PY - 2004/9
Y1 - 2004/9
N2 - A methodology for building survivable large-scale supply network topologies that can extend to other large-scale multiagent systems (MAS) is discussed. The properties that encompass survivability from a topolgical perspective, called as survivability components includes robustness, responsiveness, flexibility, and adaptivity. An adaptive network restructure or reorganize its topology on the basis of environmental shifts for providing efficient performance. It is found that the complex-network theory offers random-graph, small-world, and scale-free network topologies for survivable networks.
AB - A methodology for building survivable large-scale supply network topologies that can extend to other large-scale multiagent systems (MAS) is discussed. The properties that encompass survivability from a topolgical perspective, called as survivability components includes robustness, responsiveness, flexibility, and adaptivity. An adaptive network restructure or reorganize its topology on the basis of environmental shifts for providing efficient performance. It is found that the complex-network theory offers random-graph, small-world, and scale-free network topologies for survivable networks.
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U2 - 10.1109/MIS.2004.49
DO - 10.1109/MIS.2004.49
M3 - Review article
AN - SCOPUS:12844261066
SN - 1541-1672
VL - 19
SP - 24
EP - 31
JO - IEEE Intelligent Systems
JF - IEEE Intelligent Systems
IS - 5
ER -