高速网络环境下的P2P流媒体业务分析和识别方法

The growing P2P streaming traffic brings a variety of problems and challenges to ISP networks and service providers.A P2P streaming traffic classification method based on sampling technology is presented in this paper.By analyzing traffic statistical features and network behavior of P2P streaming,a group of flow characteristics were found,which can make P2P streaming more recognizable among other applications.Attributes from Netflow and those proposed by us are compared in terms of classification accuracy,a...     

肝组织特异性非离子型高分子磁共振造影剂的制备及性能评价

L-酪氨酸甲酯与DTPA双N-羟基琥珀酰亚胺活性酯(SuO-DTPA-OSu)反应,合成了含L-酪氨酸甲酯残基的DTPA单N-羟基琥珀酰亚胺活性酯(SuO-DTPA-Tyr).以EDC/NHS为媒介,通过一步反应将不同量的乳糖酸偶联到α,β-聚[(2-氨乙基)-L-天冬酰胺]上,然后将含有苯环的结构的SuO-DTPA-Tyr与联有D-半乳糖的α,β-聚[(2-氨乙基)-L-天冬酰胺]反应,合成了3种含糖量不同的大分子配体,并制备了其Gd(III)螯合物.结果表明,EDC/NHS方法操作简便,产率高且易于提纯;而SuO-DTPA-Tyr上L-酪氨酸甲酯残基的引入,不仅实现了高分子造影剂的非离子化,同时L-酪氨酸甲酯残基上的苯环结构也可以方便核磁氢谱的指认.大分子配体的细胞毒性随含糖量降低而增加,但均小于同浓度聚(L-赖氨酸)的毒性;大分子螯合物的细胞毒性与商用小分子造影剂的细胞毒性相当,但其弛豫率明显高于小分子造影剂的弛豫率;大分子螯合物在小白鼠肝部有比商用小分子造影剂(钆喷酸葡胺)更好的成像增强效果及更长的停留时间,且在注射后前6h,含D-半乳糖酸残基的大分子螯合物比不含D-半乳糖酸残基的大分子螯合物在小白鼠肝部的代谢速率慢,并呈现出更清晰的造影效果.     

基于深度报文检测和深度流检测的骨干网流量特征分析

Based on the massive data collected with a passive network monitoring equipment placed in China's backbone, we present a deep insight into the network backbone traffic and evaluate various ways for improving traffic classifying efficiency in this paper. In particular, the study has scrutinized the network traffic in terms of protocol types and signatures, flow length, and port distribution, from which meaningful and interesting insights on the current Internet of China from the perspective of both the packet and flow levels are derived. We show that the classification efficiency can be greatly improved by using the information of preferred ports of the network applications. Quantitatively, we find two traffic duration thresholds, with which 40% of TCP flows and 70% of UDP flows can be excluded from classification processing while the impact on classification accuracy is trivial, i.e., the classification accuracy can still reach a high level by saving 85% of the resources.