Media scheduler for AAL under ATM-based network environments

In this paper, we propose the media scheduler employing an adaptive estimator, which uses a posteriori information of data traffic characteristics to facilitate scheduling, when available, to provide on-line scheduling of dynamic scene change based on its statistical characteristics. Especially, a new adaptive scheduling scheme showed good persistent to the arrival message with bursty characteristics. And we confirmed the performance through the computer simulation when QOS requirements are given.