Modeling Network Optimization to Improve the Quality of Services in Local Area Network: Desta Dana Prof. Dr. Sebastian Nixon Instructor in Computer Sciences, Information Technology and Information System of Wolaita Sodo University, Ethiopia. Email: onenelaa@gmail.com Abstract: The increasing numbers of the network users and services of the organization in network speed is unbalanced. So the organization should have offer the quality of services in the network. The Primary goals of quality of service (QoS) includes dedicated bandwidth, controlled jitter, latency (required by some real-time and interactive traffic), improved data loss characteristics and provide efficient services for users. Shaping network optimization is crucial things for network administrators. To implement the Network QoS by optimizing current network by physical and logical architectures. The algorithms that depict the implementations of research work for logical architecture Weighted Random early detection (WRED), for physical and data link layers architecture minimum spanning tree methods. To assess the existing networks we have used both the qualitative and quantitative data. The qualitative data is browsed from different the network performances metrics called wireshark and the bandwidth monitor. For the quantitative data that we have used from the collected data by questionnaire, interview and site visiting in ICT. Key Words: Bandwidth, Network Optimization, LAN, Modeling, Quality of Service, Minimum Spanning Tree, Packet, Weighted Random Early Detection. I. INTRODUCTION The success of a network depends on the development of effective congestion control techniques that allow for optimal utilization of a network's capacity. Performance modeling is necessary for deciding the type of congestion control policies to be implemented. Performance models in turn, require very accurate traffic models that have the ability to capture the statistical characteristics of the actual traffic on the network. If the underlying traffic models do not efficiently capture the characteristics of the actual traffic, the result may be the under-estimation or over-estimation of the performance of the network. This would totally impair the design of the network. [19- 20]. In this investigations we identified the factors for network speed problems which are mention in below. Firstly, physical topology of devices, and the design of network. This means Network optimization by designing the models. from builds to builds and from room to rooms.