Stereotypes based resource allocation for multimedia internet service in limited capacity network

Nowadays, Information and Communication Technology (ICT) is widely used in various fields. For an example, education sector also widely utilizes ICT in distance learning process through the use of multimedia conferencing technology. In order to support the multimedia-based services, it is needed sufficient network resources such as good infrastructure and bandwidth availability. In Indonesia, most areas are typically facing several barriers on network infrastructure. Limited bandwidth is one of the main problems to deliver multimedia contents like in distance learning services. In this research, we aim to study on how to deliver multimedia with Quality of Service (QoS) guarantee (minimum delay and packet loss) on the bandwidth-limited network which is typically less than 3 Mbps in Indonesia's rural areas. Moreover, we also aim to study on how to maximize the performance of the existing network. In this research, we use stereotype-based model to classify multimedia stream and allocate existing resources in limited capacity network. This paper will explain how to allocate the available resources using stereotype models for multimedia internet services in a limited capacity networks. From simulation study, the proposed method demonstrates better results when employing proposed method than using iPAS mechanism in low bandwidth network.