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.
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CreationTime: Date and time of the recording of sample
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AuthenticateCount: Number of active subscribers authenticated their connection.
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ActiveCount: Number of active subscribers connected to the device.
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DisconnectCount: Number of active subscribers disconnected from the device.
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CPUUtil: contains the % of usage of processor in the device.
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MemoryUsed: Total memory in Bytes used in the device
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MemoryFree: Total of memory in Bytes free in the device
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TempMin: Minimum temperatures among the temperatures recorded from the different slots in the device
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TempMax: Maximum temperatures among the temperatures recorded from the different slots in the device
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TempAvg: Average temperatures among the temperatures recorded from the different slots in the device
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InBandwidth: Total bandwidth utilization in Bytes from the input ports of all the interfaces.
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OutBandwidth: Total bandwidth utilization in Bytes from the output ports of all the interfaces.
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InTotalPPS: Total packets per second transmitted from the input ports of all the interfaces.
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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 MemoryUsed using different regression techniques.
Inferences have been provided in the final report.