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.
