【摘要】 理解网络行为对于网络管理、规刬和发展都有重要意义,而流测量是了解网络行为的基础。由于网络的高速与流数量的巨大,使得实时在线的流测量变得很困难。因此各种流测量技术、流测量算法成为研究热点。文章综述了目前利用抽样和哈希技术在流识别和流分布方面取得的成果,并分析了各种算法的优缺点。最后分析了抽样与哈希技术的长处与不足,提出了多种技术相结合的研究方向。更多还原

【Abstract】 Understanding network behavior is very important for network management,planning and development,but it is based upon flow measurement.Due to high speed of network and large number of flows,it is very difficult to measure flow real-timed and online.So a variety of flow measurement techniques and algorithms become a research hot-spot.In this paper,we survey the achievements obtained in the fields of identifying flow and flow distribution by using sampling and hash technique,and evaluate the advantages and disadvantages of some algorithms.Finally,we analyze the advantages and disadvantages of sampling and hash techniques and present the future research trend of various techniques combined.更多还原