Semantic information centric network model evaluation

Abstract

The article describes the evaluation result of SICN (Semantic Information Centric Network) model scheme. First, it describes the abstract levels of contents. It divides data and request classification into four types based on the number of subscriptions and frequency of data object use. These scenarios of data flow are described for SICN model illustrating. Time Delay, Flooding or traffic and Efficiency reuse factor of data are used as parameters for evaluation. The paper represents a simple network example with quantitative results. In addition, a simulation model for IP, DONA, PURSUIT, CBCB, KBN, and SICN has been created to understand their performance with some assumptions. Four different scenarios have been applied. Each scenario represents a certain abstract content level knowing that the scenarios represent the data types and request types. The relevant results are shown and they proof the SICN good performance for searching information from different sources and downloading files.