Exponential moving maximum (EMM) filter for predictive analytics in network reporting
First Claim
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1. A system for predictive analytics in network reporting, comprising:
- a processor configured to;
pre-process network-related data by performing exponential moving maximum (EMM) filtering on the network-related data, comprising to;
aggregate peak values of numbers of transactions per second (TPS) of network events over a plurality of periods of time to obtain the network-related data, a peak value relating to the maximum value of TPS of network events over a period of time; and
perform the EMM filtering on the network-related data; and
determine predictive analytics based on the EMM filtered network-related data, comprising to;
adjust a network capacity of a network based on the determined predictive analytics; and
a memory coupled to the processor and configured to provide the processor with instructions.
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Abstract
Techniques for an exponential moving maximum (EMM) filter for predictive analytics in network reporting are disclosed. In some embodiments, a process for predictive analytics in network reporting using an EMM filter includes pre-processing network-related data by performing exponential moving maximum (EMM) filtering on the network-related data; and determining predictive analytics based on the EMM filtered network-related data.
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Citations
20 Claims
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1. A system for predictive analytics in network reporting, comprising:
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a processor configured to; pre-process network-related data by performing exponential moving maximum (EMM) filtering on the network-related data, comprising to; aggregate peak values of numbers of transactions per second (TPS) of network events over a plurality of periods of time to obtain the network-related data, a peak value relating to the maximum value of TPS of network events over a period of time; and perform the EMM filtering on the network-related data; and determine predictive analytics based on the EMM filtered network-related data, comprising to; adjust a network capacity of a network based on the determined predictive analytics; and a memory coupled to the processor and configured to provide the processor with instructions. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method of predictive analytics in network reporting, comprising:
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pre-processing network-related data by performing exponential moving maximum (EMM) filtering on the network-related data, comprising; aggregating peak values of numbers of transactions per second (TPS) of network events over a plurality of periods of time to obtain the network-related data, a peak value relating to the maximum value of TPS of network events over a period of time; and performing the EMM filtering on the network-related data; and determining predictive analytics based on the EMM filtered network-related data, comprising; adjusting a network capacity of a network based on the determined predictive analytics. - View Dependent Claims (12, 13, 14, 15)
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16. A computer program product for predictive analytics in network reporting, the computer program product being embodied in a tangible non-transitory computer readable storage medium and comprising computer instructions for:
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pre-processing network-related data by performing exponential moving maximum (EMM) filtering on the network-related data, comprising; aggregating peak values of numbers of transactions per second (TPS) of network events over a plurality of periods of time to obtain the network-related data, a peak value relating to the maximum value of TPS over a period of time; and performing the EMM filtering on the network-related data; and determining predictive analytics based on the EMM filtered network-related data, comprising; adjusting a network capacity of a network based on the determined predictive analytics. - View Dependent Claims (17, 18, 19, 20)
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Specification