Device-based system to estimate cellular wireless access network latency
US-2024396817-A1 · Nov 28, 2024 · US
US2020389362A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2020389362-A1 |
| Application number | US-202016893681-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jun 5, 2020 |
| Priority date | Jun 7, 2019 |
| Publication date | Dec 10, 2020 |
| Grant date | — |
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A monitoring system detects a deviation in a monitoring metric of a system component of a remote management system that remotely manages image forming apparatuses. When the monitoring system detects a deviation in online device count greater than or equal to a deviation threshold and makes a determination that there is a correlation between the deviations in monitoring metrics of multiple system components as detected, the monitoring system sends a failure report indicating that a failure is in the remote management system.
Opening claim text (preview).
What is claimed is: 1 . A monitoring system comprising: a deviation detector that detects deviations in metrics of components of a specific system; a correlation determiner that determines whether there is a correlation between the deviations in the metrics of the components as detected by the deviation detector; and a reporter that sends a failure report indicating that there is a failure in the specific system when the deviation detector detects a deviation in a metric of a specific component, the deviation being greater than or equal to a specific threshold, and the correlation determiner makes a determination that there is a correlation between the deviations in the metrics of the components. 2 . The monitoring system according to claim 1 , wherein: the specific system includes a system to perform remote management of electronic devices; at least one metric of the specific component is an online device count as a number of electronic devices connected with the specific system; and the reporter sends the failure report when the deviation detector detects a deviation in the online device count that is greater than or equal to a specific threshold and the correlation determiner makes the determination that there is a correlation between the deviations in the metrics of the components. 3 . The monitoring system according to claim 1 , wherein the deviation detector detects the deviations in the metrics by using singular spectrum transformation on the metrics. 4 . The monitoring system according to claim 1 , wherein the reporter sends a failure possibility report indicating that there is a possibility of a failure in the specific system when the deviation in the metric of the specific component is greater than or equal to the specific threshold and the correlation determiner makes a determination that there is no correlation between the deviations of the metrics of the components. 5 . The monitoring system according to claim 1 , wherein: when the correlation determiner makes the determination that there is a correlation between the deviations in the metrics of the components as detected by the deviation detector, the correlation determiner determines whether the determination is trustworthy, based on the deviations in the metrics of the components; and when the determination is determined by the correlation determiner not to be trustworthy, the reporter does not send the failure report even if the deviation in the metric of the specific component as detected by the deviation detector is greater than or equal to the specific threshold and the correlation determiner makes the determination that there is a correlation between the deviations in the metrics of the components. 6 . A non-transitory computer-readable recording medium storing a monitoring program which, when executed by a computer, causes the computer to implement: a deviation detector to detect deviations in metrics of components of a specific system; a correlation determiner to determine whether there is a correlation between the deviations in the metrics of the components as detected by the deviation detector; and a reporter to send a failure report indicating that there is a failure in the specific system when the deviation detector detects a deviation in a metric of a specific component, the deviation being greater than or equal to a specific threshold, and the correlation determiner makes a determination that there is a correlation between the deviations in the metrics of the components.
Classification; Matching · CPC title
Testing arrangements · CPC title
Threshold monitoring · CPC title
Tracking the activity of the user (network monitoring arrangements H04L43/00; recording of computer activity G06F11/34) · CPC title
using statistical or mathematical methods · CPC title
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