Modeling network technology deployment rates with different network models
Yoo Chung

TL;DR
This paper explores how different network structures influence the deployment rates of new networking technologies using simulation models, emphasizing the importance of network structure in deployment modeling.
Contribution
It introduces a simulation-based approach to analyze the impact of network structure on technology deployment, highlighting the need for realistic network models.
Findings
Network structure significantly affects deployment rates.
Realistic network models improve deployment predictions.
Simulation results support the importance of network topology in deployment.
Abstract
To understand the factors that encourage the deployment of a new networking technology, we must be able to model how such technology gets deployed. We investigate how network structure influences deployment with a simple deployment model and different network models through computer simulations. The results indicate that a realistic model of networking technology deployment should take network structure into account.
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Taxonomy
TopicsGreen IT and Sustainability · Complex Network Analysis Techniques · Advanced Queuing Theory Analysis
