Spirent Communications has patented a method for efficiently monitoring performance counters of a device under test during high data volume tests. The method involves recording instances of counter values at specified time intervals, creating time series data, and correlating the data with test configuration data at the conclusion of the test. GlobalData’s report on Spirent Communications gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Spirent Communications, Hybrid cloud mgmt was a key innovation area identified from patents. Spirent Communications's grant share as of February 2024 was 67%. Grant share is based on the ratio of number of grants to total number of patents.

Efficiently monitoring performance counters of a device under test

Source: United States Patent and Trademark Office (USPTO). Credit: Spirent Communications plc

A recently granted patent (Publication Number: US11868360B2) discloses a method, system, and computer-readable medium for efficiently monitoring performance counters of a device under test (DUT) during high data volume tests. The method involves specifying a time interval of fifteen seconds or less for recording instances of counter values on data planes and control planes, persisting counter values for numerous counters on various data streams, creating time series data, and correlating the data at the conclusion of the test. This correlation includes test configuration data and data from external sources with imperfectly synchronized time bases.

The system described in the patent includes processors coupled to memory loaded with computer instructions to implement the monitoring process. The system specifies a time interval for recording counter values, persists instances of counter values for numerous counters on different data streams, and correlates the data at the end of the test. Similarly, the computer-readable medium contains instructions for executing the monitoring process on processors, including specifying time intervals, persisting counter values, creating time series data, and correlating data at the conclusion of the test. The patent emphasizes the correlation of asynchronously recorded counters and data from external sources based on a specified correlation interval, enabling efficient monitoring during high data volume tests involving multiple data streams.

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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.