Symptotics
Ram Ramanathan, Abhishek Samanta, Tom La Porta · 2012
We present a framework for non-asymptotic analysis of real-world wireless networks that captures protocol overhead, congestion bottlenecks, traffic heterogeneity and other real-world concerns. The framework introduces the definition of symptotic1 scalability, and a metric called change impact value (CIV) for comparing the impact of underlying system parameters on network scalability. A key idea is to divide analysis into generic and specific parts connected via a signature -- a set of governing parameters of a network scenario -- such that analyzing a new network scenario reduces mainly to identifying its signature.