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High-level analysis of medical imaging traffic

机译:医学影像流量的高级分析

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Abstract: Medical network traffic is characterized by the mix of modalities and applications on the network. Since different modalities or applications have different characteristics on the network, understanding the mix of traffic loads is important in analyzing network activity. Although many commercial products can analyze network traffic at the packet level, they do not capture higher level modality load characteristics or isolate the impact of large image transfers. More insight can be obtained through a high-level analysis of this packet data in which network traffic is examined at an application level. In this paper we report on data collection and analysis of medical network traffic over a local area network. The measurements of the LAN are made using a raw ethernet packet capture program (tcpdump) running on a Sun workstation, and the analysis was accomplished using a PERL script and the ACE/gr data analysis program. The contribution of each modality is isolated and the network protocol performance is examined in detail. !11
机译:摘要:医疗网络流量的特征是网络上的模式和应用程序的混合。由于不同的模式或应用程序在网络上具有不同的特性,因此了解流量负载的混合对于分析网络活动很重要。尽管许多商用产品可以在数据包级别分析网络流量,但是它们无法捕获更高级别的模态负载特性或无法隔离大图像传输的影响。通过对该数据包数据进行高层分析,可以在应用程序级别检查网络流量,从而获得更多的见解。在本文中,我们报告了局域网上医疗网络流量的数据收集和分析。使用在Sun工作站上运行的原始以太网数据包捕获程序(tcpdump)进行LAN的测量,并使用PERL脚本和ACE / gr数据分析程序完成分析。隔离了每种方式的作用,并详细检查了网络协议的性能。 !11

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