SDN

Data capture

The dataset was generated in a software‑defined network (SDN) emulation environment built using the Mininet simulator and managed by a POX SDN controller. Traffic matrix measurements were obtained by periodically polling flow statistics from OpenFlow switches deployed in a simulated network topology based on the BSO Network 2011 topology. Hosts in the SDN testbed replayed modified traffic capture (pcap) files to generate controlled traffic flows between all pairs of nodes. Traffic matrices were recorded at regular intervals over a 4‑day test run, producing thousands of measured matrices.

Data description

The dataset consists of traffic matrices capturing the volume of network traffic between origin–destination (OD) node pairs in the SDN testbed at each measurement interval. The created datapoints represent a summarized traffic volumes between origin–destination node pairs within a defined time window of 1 minute.

The dataset is divided into three subsets: Matrix, Node2Node, and Node. Each subset is additionaly aggregated into 10-minutes, 1-hour and 1-day time window intervals.

Matrix subset

In this subset, features are 14x14 TMs. Contains 1 time series.

1-minute interval time series metrics

Time Series Metric	Description
id_time	Unique identifier for each aggregation interval within the time series, used to segment the dataset.
matrix_traffic_volume	Traffic volume between all origin–destination node pairs in the SDN testbed network at each time interval.

10-minutes, 1-hour and 1-day interval time series metrics

Time Series Metric	Description
id_time	Unique identifier for each aggregation interval within the time series, used to segment the dataset.
avg_matrix_traffic_volume	Average traffic volume between all OD node pairs over the aggregation interval.
std_matrix_traffic_volume	Standard deviation of traffic volume between all OD node pairs over the aggregation interval.
sum_matrix_traffic_volume	Sum of traffic volume between all OD node pairs over the aggregation interval.

Node2Node subset

In this subset, each time series is a cell from the TMs. Contains 196 time series.

1-minute interval time series metrics

Time Series Metric	Description
id_time	Unique identifier for each aggregation interval within the time series, used to segment the dataset.
matrix_traffic_volume	Traffic volume between a specific source–destination node pair in the SDN testbed at each time interval.

10-minutes, 1-hour and 1-day interval time series metrics

Time Series Metric	Description
id_time	Unique identifier for each aggregation interval within the time series, used to segment the dataset.
avg_matrix_traffic_volume	Average traffic volume of a specific OD node pair over the aggregation interval.
std_matrix_traffic_volume	Standard deviation of traffic volume of a specific OD node pair over the aggregation interval.
sum_matrix_traffic_volume	Sum of traffic volume of a specific OD node pair over the aggregation interval.

Node subset

In this subset, each time series corresponds to one node. Contains 14 time series.

Time series metrics

Time Series Metric	Description
id_time	Unique identifier for each aggregation interval within the time series, used to segment the dataset.
avg_from_traffic_volume	Average traffic volume originating from the node over the aggregation interval.
std_from_traffic_volume	Standard deviation of traffic volume originating from the node over the aggregation interval.
sum_from_traffic_volume	Sum of traffic volume originating from the node over the aggregation interval.
avg_to_traffic_volume	Average traffic volume destined to the node over the aggregation interval.
std_to_traffic_volume	Standard deviation of traffic volume destined to the node over the aggregation interval.
sum_to_traffic_volume	Sum of traffic volume destined to the node over the aggregation interval.

Links

More detailed description is available in the paper. Original dataset can be downloaded at https://github.com/duchuyle108/SDN-TMprediction.