The popularity of video-on-demand (VoD) streaming has grown dramatically over the World Wide Web. Most users in VoD P2P networks have to wait a long time in order to access their requesting videos. Therefore, reducing waiting time to access videos is the main challenge for VoD P2P networks. In this paper, we propose a novel algorithm for caching video based on peers' priority and video's popula...

We study the content placement problem for cache delivery video-on-demand systems under static random network topologies with fixed heavy-tailed video demand. The performance measure is the amount of server load; we wish to minimize the total download rate for all users from the server and maximize the rate from caches. Our approach reduces the analysis for multiple videos to consideration of d...

Recent years have seen a tremendous growth in streaming continuous media such as videos over the Internet, resulting in an enormous increase in the demand on various server and networking resources. To minimize service delays and reduce the loads placed on these resources, we propose a Video Caching Network (VCN) that utilizes an aggregated cache space of distributed systems along the delivery ...

Peer-to-peer has evolved into a promising communication paradigm for large-scale content sharing. It has recently been suggested for on-demand video streaming as well. Such peer-to-peer Video-onDemand (VoD) makes effective use of local disk space and upload bandwidth distributed across peers to relieve the server load, which has long been a bottleneck of conventional VoD systems that demand eno...