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traffic_pattern_analysis_and_load_balancing_in_negatively_curved_networks

Traffic pattern analysis and load balancing in negatively curved networks

Edmond A. Jonckheere
Electrical Engineering—Systems
and
Mathematics
University of Southern California

Wednesday, April 14th, 2010
2:00pm-3:00pm
EEB 248

Abstract: In the quest to identify a single parameter that would encapsulate such relevant properties of networks as their potential to create congestion, network investigators have for the past decade focused their attention on the Small-World/Scale-Free dichotomy. Here, it is argued that the all encompassing parameter that predicts network behavior is curvature. Curvature indeed anticipates congestion, should the network be negative curved. Curvature indeed anticipates a balanced load, should the network be positively curved. Curvature indeed guarantees successful greedy forwarding of packets in sensor networks, provided the curvature has been uniformized by the Ricci flow.

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traffic_pattern_analysis_and_load_balancing_in_negatively_curved_networks.txt · Last modified: 2016/09/01 19:15 (external edit)