This dataset contains data of performance of a broadband gateway network (BNG) device. BNG device is the access point for subscribers, through which they connect to the broadband network. When a connection is established between BNG device and CustomerPremise Equipment (CPE), the subscriber can access the broadband services provided by the Network Service Provider (NSP) or Internet Service Provider (ISP). A network management company monitors the performance of each of the BNG devices to provide better services. The company records different performance measures (PMs) for every 15 minutes. A description of different columns i.e.attributes (PMs) in this dataset is detailed below.

1. CreationTime: Date and time of the recording of sample

2. AuthenticateCount: Number of active subscribers authenticated their connection.

3. ActiveCount: Number of active subscribers connected to the device.

4. DisconnectCount: Number of active subscribers disconnected from the device.

5. CPUUtil: contains the % of usage of processor in the device.

6. MemoryUsed: Total memory in Bytes used in the device

7. MemoryFree: Total of memory in Bytes free in the device

8. TempMin: Minimum temperatures among the temperatures recorded from the different slots in the device

9. TempMax: Maximum temperatures among the temperatures recorded from the different slots in the device

10. TempAvg: Average temperatures among the temperatures recorded from the different slots in the device

11. InBandwidth: Total bandwidth utilization in Bytes from the input ports of all the interfaces.

12. OutBandwidth: Total bandwidth utilization in Bytes from the output ports of all the interfaces.

13. InTotalPPS: Total packets per second transmitted from the input ports of all the interfaces.

14. OutTotalPPS: Total packets per second transmitted from the output ports of all the interfaces.

70% of data has been considered for training and remaining 30% of data for testing.

• Data preprocessing has been performed.
• Descriptive analytics has been performed to understand the data and infer from the data.
• Predictive analysis (regressive analysis) has been performed for predicting the InBandwidth using different regression techniques.