Open AccessBandwidth Utilization Prediction in LAN Network Using Time Series Modeling
Author(s) -
Ammar T. Namel,
Mouayad A. Sahib,
Shatha Mizhir Hasan
Publication year - 2019
Publication title -
al-maǧallaẗ al-ʻirāqiyyaẗ li-handasaẗ al-ḥāsibāt wa-al-ittiṣālāt wa-al-sayṭaraẗ wa-al-naẓm
Language(s) - English
Resource type - Journals
eISSN - 2617-3352
pISSN - 1811-9212
DOI - 10.33103/uot.ijccce.19.2.9
Subject(s) - dynamic bandwidth allocation , network traffic control , computer science , bandwidth (computing) , bandwidth management , bandwidth allocation , network management , computer network , real time computing , data mining , distributed computing , network packet
monitoring the behavior of computer networks is essential forproblem identification and optimal management. Part of this behavior to bemonitored is the utilization of the network bandwidth. Several techniques areused to model and forecast network traffic such as time series models, moderndata mining techniques, soft computing approaches, and neural networks areused for network traffic analysis and prediction. Efficient bandwidth utilizationand optimization are very interesting research issues in effective networksbecause bandwidth is one of the most required and expensive Internetcomponents needed today. It is generally known that the higher the bandwidthavailable, the better the network performance, thus an essential aid for networkdesign and bandwidth wastage control and a need for traffic models which cancapture the characteristics is necessary. In this paper, a time series predictionmodels were proposed for LAN office network bandwidth utilization. Theproposed prediction models are tested by using evaluation metrics used in timeseries such as MSE and performance evaluation plot. Testing results show thatthe proposed models can enhance the detection of bandwidth traffic and providean efficient tool for bandwidth utilization.