摘要
海量水利遥感影像的网络传输与处理是用户及时获取遥感水利产品的关键。针对传统的基于客户端/服务器结构网络传输模式难以满足大量用户并发请求及时响应的问题,提出一种基于P2P思想的海量水利遥感影像传输优化策略,充分利用客户端资源进行数据处理与调度,减少服务器负载,并设计了抢占式传输机制,提高影像传输速度。通过原型系统Hydro-PNet(hydro-processing peer-to-peer network)测试表明,该策略有效地提高了数据传输速度,减少了用户请求的响应时间。
In hydrographic remote sensing data processing platform,large-scale image transmission and processing are very important for users to get their products in time.Aiming at the shortcoming that the server cannot guarantee the response time when the number of users is quickly increasing in traditional C/S mode,this paper proposed an optimal data transmission mode for large-scale data transmission based on peer-to-peer(P2P) technologies.The mechanism aimed to use the client's resource fully and reduced server's load.Meanwhile gave the preemptive transmission algorithm to improve the efficiency of data transmission.Finally,established a prototype system Hydro-PNet(hydro-processing peer-to-peer network) and experimental results show that the paper's strategy can improve the image data transmitting speed and greatly reduce the response time of the hydrographic image request.
出处
《计算机应用研究》
CSCD
北大核心
2011年第4期1382-1384,1391,共4页
Application Research of Computers
基金
国家"863"计划基金资助项目(2006AA01A126)
水利部公益性行业科研专项经费项目(201001046)
关键词
对等网
海量数据
水利遥感
并行传输
四叉树
peer-to-peer
massive data
hydrographic remote sense
parallel transmission
quad-tree