High Performance Network Optimization

The term “big data” was coined to describe the vast amounts of information science and technology data that have been generated on a large scale over time. Based on existing research, the current state of the problem was observed, i.e. “Poor internet speed, network downtime, constant traffic jams, energy consumption due to increasing internet connectivity, which increases management overhead costs, network unavailability”. Therefore, this research provides a brief overview of the list of bandwidth optimization models applied through previous research works, indicating the optimal algorithms that work with each of the models in formulating a new bandwidth optimization model that solves the mixed integer linear programming technique problem which was the approach adopted from the existing works. necessary for wireless networks. This paper aims to evaluate and analyze existing bandwidth optimization models, optimal algorithms with each model, as well as a new bandwidth optimization model that solves the problem of previous optimization techniques. In wireless networks, the most energy-consuming activities are network bandwidth transmission and reception. Energy consumption for data transmission or reception depends on the volume of network traffic and the speed of network traffic from source to destination.