An Enhanced Information Centric Model for Efficient Bandwidth Management

Abstract

Information centric model is a new approach to networking which enables efficient network software‐based control and application independent information caching. However, in a transmission network, there exist redundant bytes in packets that are cached at content routers hence exhausting bandwidth and occasioning such problems as bandwidth glitches, low throughput, and denial of service among others. This study developed an enhanced redundancy elimination mechanism which takes into account minimal network memory operations leading to optimum bandwidth management and network power consumption reduction. The main aim of the research was to come up with an enhanced information centric model to identify and eliminate redundancy so as to mitigate network glitches such as bandwidth glitches, low throughput, and denial of service among others. The research used purpose sampling to select sample network sites, collected data and evaluated our model using both real time network traffic data and synthetic traffic. The research analyzed bytes in packets and found out that there were 46% redundant bytes. The research compared various file types in transit and found that 97% of traffic was binary files such as video, audio and pictures while 3% constituted text files. This prompted the research to find out file organization of binary files which was found that they hardly partially intersect therefore was no need for chunking them. It was found that available bandwidth will be optimized by eliminating redundant bytes and reducing number of shim headers. Implementation of the enhanced bandwidth management model will make internet applications be more reliable due to optimized bandwidth and reduced processing load.