The IRC protocol was developed over the last 4 years since it was first implemented as a means for users on a BBS to chat amongst themselves. Now it supports a world-wide network of servers and clients, and is stringing to cope with growth. Over the past 2 years, the average number of users connected to the main IRC network has grown by a factor of 10.The IRC protocol is a text-based protocol, with the simplest client being any socket program capable of connecting to the server.
One of the purposes of the Active Service Environment Management system (ASEMA) is to provide the best possible multimedia service experience to end users. This is realized by dynamically adapting to changes in service environment's configuration and used network infrastructure's quality of service (QoS) changes. The research problem of the paper is to find a solution for proactive approach to manage multimedia service performance in a dynamic service environment. The research is based on the constructive method by analyzing the related publications and experimentation with the selected technologies by implementing the solutions part of the ASEMA prototype. The prototype has profile negotiation functionality that dynamically updates ASEMA profiles according to dynamic changes in an end user's service environment. The quality of service management functionality in ASEMA monitor's actively underlying network's QoS level. It adjusts quality of video stream according to the changes in QoS levels of the used network infrastructure.
The Active Service Environment Management system (ASEMA) provides best possible multimedia service experience to end-user. One of the main aspects of the ASEMA is to provide a variable live streaming service to the end-users of the ASEMA. The ASEMA implements this through dynamic change in the properties of the video stream delivered to the end-user' s end-device. The live video stream used in the ASEMA is delivered to the end-users is in MPEG-4 video format. The video itself is streamed on top of the Real-Time Protocol (RTP) and the parameters are negotiated with the Real-Time Streaming Protocol (RTSP) before the streaming commences. The research problem of this is to provide easy solution for QoS measurements in networks that are closed nature. The research is based on the constructive method of the related publications and the results are deducted from the constructed Quality-of-Service management of the ASEMA System. The management is founded on the measuring of the receiving and sending bit-rate values in both ends, in the sending end and in the receiving end. If a fluctuation in the values are detected the video stream' s properties are changed dynamically.
We have constructed a Scalable Quality of Service middleware system, which contains a monitoring user agent client, a monitoring user agent server and a leader agent. A network camera sends video transmission to the smart phone. The video transmission transits through a Scalable Quality of Service server. The monitoring user agent client resides in the smart phone. The monitoring user agent server and leader agent reside in the Scalable Quality of Service server. Both monitoring user agents monitor the video transmission's bit-rate. The monitoring user agents transmit their evaluation to the leader agent. Then the leader agent deducts whether to ordain the network camera to scale the Quality of Service values down or up. The research problem of the paper is to determine a middleware, which improves the control of the video transmission over a mobile system. Our innovative theories are the Scalable Quality of Service middleware system's architecture, passive monitoring paradigm, and calculation and deduction methods. The theories endeavor to optimize the video transmission rate to a smart phone over a wireless network. The operability of the constructed prototype indicates that this endeavor is attained. The research is based on the constructive method of the related publications and technologies and the results are derived by the implemented Scalable Quality of Service middleware system.
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