Detecting anomalies in a distributed application
Anomalies are detected in a distributed application that runs on a plurality of nodes to execute at least first and second workloads. The method of detecting anomalies includes collecting first network traffic data of the first workload and second network traffic data of the second workload during a...
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creator | Dekel, Edo Yacov Helman, Haim |
description | Anomalies are detected in a distributed application that runs on a plurality of nodes to execute at least first and second workloads. The method of detecting anomalies includes collecting first network traffic data of the first workload and second network traffic data of the second workload during a first period of execution of the first and second workloads, collecting third network traffic data of the first workload and fourth network traffic data of the second workload during a second period of execution of the first and second workloads, and detecting an anomaly in the distributed application based on a comparison of the third network traffic data against the first network traffic data or a comparison of the fourth network traffic data against the second network traffic data. Anomalies may also be detected by comparing network traffic data of two groups of containers executing the same workload. |
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The method of detecting anomalies includes collecting first network traffic data of the first workload and second network traffic data of the second workload during a first period of execution of the first and second workloads, collecting third network traffic data of the first workload and fourth network traffic data of the second workload during a second period of execution of the first and second workloads, and detecting an anomaly in the distributed application based on a comparison of the third network traffic data against the first network traffic data or a comparison of the fourth network traffic data against the second network traffic data. 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The method of detecting anomalies includes collecting first network traffic data of the first workload and second network traffic data of the second workload during a first period of execution of the first and second workloads, collecting third network traffic data of the first workload and fourth network traffic data of the second workload during a second period of execution of the first and second workloads, and detecting an anomaly in the distributed application based on a comparison of the third network traffic data against the first network traffic data or a comparison of the fourth network traffic data against the second network traffic data. Anomalies may also be detected by comparing network traffic data of two groups of containers executing the same workload.</description><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRICITY</subject><subject>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDBwSS1JTS7JzEtXSMzLz03MyUwtVsjMU0hUSMksLinKTCotSU1RSCwoyMlMTizJzM_jYWBNS8wpTuWF0twMim6uIc4euqkF-fGpxQWJyal5qSXxocGGhubmBiYmxk5GxsSoAQB0Fiug</recordid><startdate>20230926</startdate><enddate>20230926</enddate><creator>Dekel, Edo Yacov</creator><creator>Helman, Haim</creator><scope>EVB</scope></search><sort><creationdate>20230926</creationdate><title>Detecting anomalies in a distributed application</title><author>Dekel, Edo Yacov ; Helman, Haim</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US11770443B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2023</creationdate><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRICITY</topic><topic>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</topic><toplevel>online_resources</toplevel><creatorcontrib>Dekel, Edo Yacov</creatorcontrib><creatorcontrib>Helman, Haim</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Dekel, Edo Yacov</au><au>Helman, Haim</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Detecting anomalies in a distributed application</title><date>2023-09-26</date><risdate>2023</risdate><abstract>Anomalies are detected in a distributed application that runs on a plurality of nodes to execute at least first and second workloads. The method of detecting anomalies includes collecting first network traffic data of the first workload and second network traffic data of the second workload during a first period of execution of the first and second workloads, collecting third network traffic data of the first workload and fourth network traffic data of the second workload during a second period of execution of the first and second workloads, and detecting an anomaly in the distributed application based on a comparison of the third network traffic data against the first network traffic data or a comparison of the fourth network traffic data against the second network traffic data. Anomalies may also be detected by comparing network traffic data of two groups of containers executing the same workload.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION |
title | Detecting anomalies in a distributed application |
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