PREDICTING SERVICE ISSUES BY DETECTING ANOMALIES IN EVENT SIGNAL
First Claim
1. A computing device for predicting service issues by detecting anomalies in an event signal, the computing device comprising:
- a networking device;
a memory configured to store instructions associated with a signal analysis application;
one or more processors coupled to the memory and the communication device, the one or more processors executing the signal analysis application in conjunction with the instructions stored in the memory, wherein the signal analysis application includes;
an analysis engine configured to;
receive, through the networking device, the event signal, wherein the event signal includes events captured during a time period;
process the event signal to generate a trend line;
compare a number of the events of an end data point within the event signal to an upper confidence score and a lower confidence score associated with the end data point within the trend line; and
a communication module configured to;
in response to detecting the number of the events exceed the upper confidence score, transmit, through the networking device, a notification that describes a symptom associated with the end data point within the event signal.
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Accused Products
Abstract
Service issues predicted by detecting anomalies in an event signal is provided. An application such as a signal analysis application receives an event signal for analysis. The event signal includes events captured during a time period. The event signal is processed to generate a trend line. The trend line includes a best fit line transposed across averages of number of events of each data point across the time period. The number of events of an end data point may be compared to an upper confidence score and a lower confidence score associated with the end data point on the trend line. In response to detecting the number of events of the end data point exceed the upper confidence score, a notification is transmitted to a stakeholder associated with the event signal. The notification may describe a symptom associated with the number of events on the end data point.
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Citations
20 Claims
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1. A computing device for predicting service issues by detecting anomalies in an event signal, the computing device comprising:
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a networking device; a memory configured to store instructions associated with a signal analysis application; one or more processors coupled to the memory and the communication device, the one or more processors executing the signal analysis application in conjunction with the instructions stored in the memory, wherein the signal analysis application includes; an analysis engine configured to; receive, through the networking device, the event signal, wherein the event signal includes events captured during a time period; process the event signal to generate a trend line; compare a number of the events of an end data point within the event signal to an upper confidence score and a lower confidence score associated with the end data point within the trend line; and a communication module configured to; in response to detecting the number of the events exceed the upper confidence score, transmit, through the networking device, a notification that describes a symptom associated with the end data point within the event signal. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A method executed on a computing device for predicting service issues by detecting anomalies in an event signal, the method comprising:
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receiving the event signal, wherein the event signal includes events captured during a time period, wherein the time period includes one or more of;
hours, days, weeks, and months;processing the event signal to generate a trend line; comparing a number of the events on an end data point within the event signal to an upper confidence score and a lower confidence score associated with the end data point within the trend line; and in response to detecting the number of the events exceed the upper confidence score, transmitting a notification that describes a symptom associated with the event signal on the end data point. - View Dependent Claims (13, 14, 15, 16, 17)
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18. A computer-readable memory device with instructions stored thereon for predicting service issues by detecting anomalies in an event signal, the instructions comprising:
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receiving the event signal, wherein the event signal includes events captured during a time period, wherein the time period includes one or more of;
hours, days, weeks, and months;processing the event signal to generate a trend line; comparing a number of the events on an end data point within the event signal to an upper confidence score and a lower confidence score associated with the end data point within the trend line; and in response to detecting the number of the events exceed the upper confidence score, transmitting a notification that describes a symptom associated with the event signal on the end data point. - View Dependent Claims (19, 20)
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Specification