ByteDance/BandwidthEstimationDataset

This repo releases a dataset of trajectories for ByteDance Teams audio/video calls. The data is collected from audio/video peer-to-peer ByteDance Teams calls on the Douyin live streaming application. It can be used to study bandwidth estimation (BWE), such as training deep learning models or constructing reward models for training.

Each trajectory corresponds to one audio/video call leg and consists of a sequence of:

• 51-dimensional observation vector: computed based on packet information received by the client in one audio/video call.
• The unique randomly assigned id of the call.
• The unique id of the BWE policy used to collect the data of this call.
• The bandwidth that the BWE policy predicts for the bottleneck link.
• The request rate which denotes the maximum bandwidth to ensure the quality of this call.

The observation vector at a time step n encapsulates observed network statistics that characterize the state of the bottleneck link between the sender and receiver over the most recent short term monitor intervals (MI) of 100ms, the most recent median-term MIs of 500ms and the most recent long-term MIs of 1000ms. Specifically, the observation vector tracks 17 different network features over short, median and long term MIs (17 features x (1 short term MI + 1 median term MI + 1 long term MI) = 51). The 17 features and their description are as follows. Features are based on packets received during the short and long term monitor intervals.

• Receiving rate: rate at which the client receives data from the sender during a MI, unit: bps.
• Number of received packets: total number of packets received in a MI, unit: packet.
• Received bytes: total number of bytes received in a MI, unit: Bytes.
• Sending rate: rate at which the server sends data from the sender during a MI, unit: bps.
• Number of sent packets: total number of packets sent in a MI, unit: packet.
• Sent bytes: total number of bytes sent in a MI, unit: Bytes.
• Queuing delay: average delay of packets received in a MI minus the minimum packet delay observed so far, unit: ms.
• Delay: average delay of packets received in a MI minus a fixed base delay of 200ms, unit: ms.
• Minimum seen delay: minimum packet delay observed so far, unit: ms.
• Delay ratio: average delay of packets received in a MI divided by the minimum delay of packets received in the same MI, unit: ms/ms.
• Delay gradient: indicating the increasing/decreasing trend of the delay.
• Delay average minimum difference: average delay of packets received in a MI minus the minimum delay of packets received in the same MI, unit: ms.
• Packet interarrival time: mean interarrival time of packets received in a MI, unit: ms.
• Packet jitter: standard deviation of interarrival time of packets received in a MI, unit: ms.
• Packet loss ratio: probability of packet loss in a MI, unit: packet/packet.
• Average number of lost packets: average number of lost packets given a loss occurs, unit: packet.
• RTT: the rtt in a MI.
• Packet loss rate: the packet loss rate in a MI.

Emulated Dataset: This repo will also release a dataset from 30000+ emulated test calls which contains ground truth information about the bottleneck link between the sender and receiver, namely, bottleneck capacity, in addition to the aforementioned data. In this dataset, the characteristics of the bottleneck, namely ground truth capacity, is randomly varied throughout the duration of the test call to generate a diverse set of trajectories with network dynamics that may not occur in the real world but are nevertheless important to enhance state-action space coverage and aid in learning generalizable BWE policies.