Juniper Networks has filed a patent for systems and methods to determine normal behavior and detect abnormal deterioration in a computing system. The patent also includes a method to predict future values of computing system parameters and initiate mitigating actions if the values fall outside the predicted range. GlobalData’s report on Juniper Networks gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Juniper Networks, VPN tunneling was a key innovation area identified from patents. Juniper Networks's grant share as of September 2023 was 76%. Grant share is based on the ratio of number of grants to total number of patents.

Systems and methods for predicting and mitigating abnormal sle behavior

Source: United States Patent and Trademark Office (USPTO). Credit: Juniper Networks Inc

A recently filed patent (Publication Number: US20230318937A1) describes a method for managing computing system parameters. The method involves associating values with each time period of a plurality of time periods, where the values represent the minimum and maximum values for each computing system parameter.

Using a predictive model, the method then predicts the minimum and maximum values of each computing system parameter for an additional time period based on the values associated with each of the previous time periods. This predictive model allows for forecasting the potential range of values for the computing system parameters in the future.

Once the predicted minimum and maximum values are determined for the additional time period, the method initiates a mitigating action if it is determined that the value of any computing system parameter does not fall within the predicted range. This means that if the actual value of a computing system parameter deviates from the predicted range, a corrective action will be taken to address the issue.

This method provides a proactive approach to managing computing system parameters by using historical data to predict future values and taking appropriate actions to mitigate any potential issues. By identifying deviations from the predicted range, system administrators or automated systems can intervene and prevent potential problems before they occur.

Overall, this patent presents a method for effectively managing computing system parameters by leveraging predictive modeling and initiating mitigating actions based on the predicted range of values. This approach can help improve the performance and reliability of computing systems by addressing potential issues in a timely manner.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.