earticle

영어

Network based video proxy server can store the videos in order to minimize initial latency and network traffic significantly. However, due to the limited storage space in video proxy server, an appropriate video selection method is needed to store the videos which are frequently requested by clients. Thus, we propose a temporal distance based particle domain selection method using concurrent request pattern in large scale streaming system. We exploit the short-term temporal locality of two consecutive requests on an identical video. If the video is requested by user, it is temporarily stored during the predefined interval and then, delivered to the user. Due to the limited storage area in video proxy server, it is often required to replace the old video which is not serviced for long time with the newly requested one. This replacement causes the severe service delay and increase of network traffic. To circumvent these problems, we also propose an efficient storage space partitioning technique in order to stably store videos and present a time based free-up storage space technique using the expected variation of video data in order for avoiding the overflow on a video proxy server in advance. In order to verify the effectiveness and efficiency of the proposed method, we conduct a variety of simulations and demonstrate that our particle domain selection method leads to better performance.