In this paper we focus on the fast communication issues of the Big Data processing tasks shared between High Performance Computing systems. In our performance evaluation framework we designed and developed two traffic measurement tools in order to answer some theoretical questions related to congestion control in practice. The first one is based on iperf and tcpdump softwares to capture data flows of TCP and UDP sessions. Classification aspects of the measurement cases were: homogeneity of the traffics, number of parallel communication sessions, and implementation types of the TCP congestion control algorithm. Dozens of parallel traffic scenarios were executed in a dumbbell topology to evaluate effects of the massively parallel communication sessions in wireline local and metropolitan area networks. Since we found that connection oriented data transfer sessions have limited performance features during communication, we implemented a second communication tool named Fast Manager of File Transfer (FMFT). This application with transfer rate monitoring and regulation capability is based on parallel connectionless data transfer sessions supervised by a common connection oriented control session and provides better transfer rate than the classical file transfer mechanisms using TCP services. Methodology of the statistical analysis and highlights of this heterogeneous parallel communication mechanism are explained, too.

在本文中，我们专注于高性能计算系统之间共享的大数据处理任务的快速通信问题。在我们的性能评估框架中，我们设计和开发了两个流量测量工具，以回答与实践中的拥塞控制相关的一些理论问题。第一个基于iperf和tcpdump软件来捕获TCP和UDP会话的数据流。测量案例的分类方面包括：流量的均匀性，并行通信会话的数量以及TCP拥塞控制算法的实现类型。在哑铃拓扑中执行了数十种并行通信场景，以评估有线局域网和城域网中大规模并行通信会话的效果。由于我们发现面向连接的数据传输会话在通信过程中具有有限的性能，因此我们实现了第二个通信工具，称为文件传输快速管理器（FMFT）。具有传输速率监视和调节功能的此应用程序基于并行的无连接数据传输会话，该会话由一个面向连接的公共控制会话监督，并且比使用TCP服务的传统文件传输机制提供更好的传输速率。还说明了统计分析的方法论以及这种异构并行通信机制的重点。具有传输速率监视和调节功能的此应用程序基于并行的无连接数据传输会话，该会话由一个面向连接的公共控制会话监督，并且比使用TCP服务的传统文件传输机制提供更好的传输速率。还说明了统计分析的方法论以及这种异构并行通信机制的重点。具有传输速率监视和调节功能的此应用程序基于并行的无连接数据传输会话，该会话由一个面向连接的公共控制会话监督，并且比使用TCP服务的传统文件传输机制提供更好的传输速率。还说明了统计分析的方法论以及这种异构并行通信机制的重点。