We are interested in providing Video-on-Demand (VoD) streaming service to a large population of clients using peer-to-peer (P2P) approach. Given the asynchronous demands from multiple clients, continuously changing of...We are interested in providing Video-on-Demand (VoD) streaming service to a large population of clients using peer-to-peer (P2P) approach. Given the asynchronous demands from multiple clients, continuously changing of the buffered contents, and the continuous video display requirement, how to collaborate with potential partners to get expected data for future content delivery are very important and challenging. In this paper, we develop a novel scheduling algorithm based on deadline- aware network coding (DNC) to fully exploit the network resource for efficient VoD service. DNC generalizes the existing net- work coding (NC) paradigm, an elegant solution for ubiquitous data distribution. Yet, with deadline awareness, DNC improves the network throughput and meanwhile avoid missing the play deadline in high probability, which is a major deficiency of the con- ventional NC. Extensive simulation results demonstrated that DNC achieves high streaming continuity even in tight network conditions.展开更多
广电视频点播(Video on Demand,VOD)系统包含图片、视频等海量应用数据,需要强大的存储系统和灵活的调度策略来支撑超级数据量的存储、调度和使用。对此,提出一种基于智能网格推流系统的云分布式存储策略,具备负载均衡与平滑扩容机制,...广电视频点播(Video on Demand,VOD)系统包含图片、视频等海量应用数据,需要强大的存储系统和灵活的调度策略来支撑超级数据量的存储、调度和使用。对此,提出一种基于智能网格推流系统的云分布式存储策略,具备负载均衡与平滑扩容机制,可扩大本地缓存容量,提高存储抗干扰性能,保障系统资源调度速率,维护VOD系统缓存稳定;采用分层缓存管理机制,对存储数据包进行时序特征分割,减少服务器缓存时延;针对异常故障数据,利用哈希校验方式对缓存文件进行替换,保证存储数据集群的完整性,并利用读写旁路与懒惰存储解决缓存数据缺失问题。该方法可有效提高VOD系统存储效率,具有一定的参考价值。展开更多
基金Project (No. DAG05/06.EG05) supported by the Research GrantCouncil (RGC) of Hong Kong, China
文摘We are interested in providing Video-on-Demand (VoD) streaming service to a large population of clients using peer-to-peer (P2P) approach. Given the asynchronous demands from multiple clients, continuously changing of the buffered contents, and the continuous video display requirement, how to collaborate with potential partners to get expected data for future content delivery are very important and challenging. In this paper, we develop a novel scheduling algorithm based on deadline- aware network coding (DNC) to fully exploit the network resource for efficient VoD service. DNC generalizes the existing net- work coding (NC) paradigm, an elegant solution for ubiquitous data distribution. Yet, with deadline awareness, DNC improves the network throughput and meanwhile avoid missing the play deadline in high probability, which is a major deficiency of the con- ventional NC. Extensive simulation results demonstrated that DNC achieves high streaming continuity even in tight network conditions.
文摘广电视频点播(Video on Demand,VOD)系统包含图片、视频等海量应用数据,需要强大的存储系统和灵活的调度策略来支撑超级数据量的存储、调度和使用。对此,提出一种基于智能网格推流系统的云分布式存储策略,具备负载均衡与平滑扩容机制,可扩大本地缓存容量,提高存储抗干扰性能,保障系统资源调度速率,维护VOD系统缓存稳定;采用分层缓存管理机制,对存储数据包进行时序特征分割,减少服务器缓存时延;针对异常故障数据,利用哈希校验方式对缓存文件进行替换,保证存储数据集群的完整性,并利用读写旁路与懒惰存储解决缓存数据缺失问题。该方法可有效提高VOD系统存储效率,具有一定的参考价值。
