Development of Bandwidth Utilization in a Dynamic Network Environment for Network Resource Allocation Using Neural Network

Bandwidth is a measure of how much information a network can transfer and receive. It is purchased from internet provider as a periodic monthly expense based on the amount of bandwidth selected by the establishment. Over the years’ business owners, organizations, schools etc. that uses internet for their day to day activities have been allocated bandwidth by internet service providers (ISP) using historical data but most times allocation of this bandwidth could be in excess or too small a bandwidth resulting to slowness of internet access and wastage of bandwidth due to lack of a model or platform that assist the ISP in predicting and allocating the exact bandwidth needed by the users, excess of allocated bandwidth leads to wastage of bandwidth. Not knowing those parameters associated to bandwidth allocation and their consumption, limited amount of bandwidth causes slow network performance and slow download and upload speeds, inability to calculate the amount of bandwidth needed by an individual on a network. This paper uses inputted parameters like number of users, service usage either video or audio etc. this input determine the prediction and allocation, Carry out performance evaluation of the proposed system by comparing it with other existing systems. The methodology that was adopted is Object Oriented Analysis and Design Methodology (OOADM). Hypertext preprocessor (PHP) was used for the development while My Structured Query Language (MYSQL) for the database management. After the development the model was able to allocate accurate bandwidth to users. Keywords: Bandwidth, Neural Network, Dynamic environment, Allocation, Prediction CISDI Journal Reference Format Ituma Chinagolum, Mercy Ebere Ikem & Azemobor Daniel (2025): Development of Bandwidth Utilization in a Dynamic Network Environment for Network Resource Allocation Using Neural Network. Computing, Information Systems, Development Informatics & Allied Research Journal. Vol 16 No 1, Pp 1-8. Available online at www.isteams.net/cisdijournal. dx.doi.org/10.22624/AIMS/CISDI/V16N1P1