大学数据中心网络的流量数据集

大学数据中心网络的流量数据集，数据集编号：2018YFB1800601-008，对应考核指标2.4：高性能路由器支持4种SDN 北向接口的科学数据。数据集来自于IMC 2010 Data Center Measurement，数据集包括实验的拓扑和数据包信息。数据集由浙江大学提供，该数据集用于该项目相关的研究过程，研究过程分析了网络流量的数据包级别的特征信息。数据集包括了以pcap格式存储的数据包，考虑了安全性和隐私保护，数据包的负载内容和IP地址均进行了处理。数据集中包含了1000s中传输的TCP和UDP数据包，包括了超过3,000,000的数据包和160,000 条网络数据流。实验过程使用该数据集用于研究良性传输环境下的数据包信息，研究过程评估了在正常传输条件下对于网络资源的占用情况。该数据集使得网络控制器可以通过不同的北向接口，在收到网络数据包和流规则部署请求时，分配合适的超时值，从而更好地管理流规则的生命周期

Traffic Dataset for University Data Center Networks
Dataset ID: 2018YFB1800601-008, corresponding to assessment indicator 2.4: Scientific data supporting 4 types of SDN northbound interfaces for high-performance routers.

This dataset is sourced from the IMC 2010 Data Center Measurement, and includes experimental network topologies and packet information. It is provided by Zhejiang University, and was used for research related to this project, during which packet-level characteristic features of network traffic were analyzed.

The dataset stores packets in PCAP format, with security and privacy protection considerations applied: both packet payloads and IP addresses have been anonymized. It contains TCP and UDP packets transmitted across over 1,000 sessions, totaling more than 3,000,000 individual packets and 160,000 network flows.

This dataset was utilized in experiments to study packet information under benign transmission environments, and to evaluate network resource occupancy under normal transmission conditions. Moreover, this dataset enables network controllers to allocate appropriate timeout values when receiving network packets and flow rule deployment requests via different northbound interfaces, thereby achieving better management of flow rule lifecycles.

搜集汇总

背景与挑战

背景概述

该数据集是大学数据中心网络的流量数据，来源于IMC 2010 Data Center Measurement，包含以pcap格式存储的TCP和UDP数据包，数据包负载和IP地址经过处理以确保安全隐私。数据集规模为1.09GB，涵盖1000秒内的超过3,000,000个数据包和160,000条网络流，主要用于研究良性传输环境下的数据包级别特征和网络资源占用，支持高性能路由器的SDN北向接口相关研究。