{"id":13101,"date":"2021-11-03T13:53:24","date_gmt":"2021-11-03T12:53:24","guid":{"rendered":"https:\/\/nr.stage.dekodes.no\/en\/?post_type=bc_project&#038;p=13101"},"modified":"2024-04-25T14:36:51","modified_gmt":"2024-04-25T12:36:51","slug":"automatic-detection-and-prediction-of-anomalies-in-complex-it-systems","status":"publish","type":"bc_project","link":"https:\/\/nr.stage.dekodes.no\/en\/projects\/automatic-detection-and-prediction-of-anomalies-in-complex-it-systems\/","title":{"rendered":"Automatic detection and prediction of anomalies in complex IT systems"},"content":{"rendered":"\n<p class=\"has-sizing-medium\"><\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<p class=\"has-sizing-large\">During the last few years, businesses across geographies and industries have faced an explosion of IT complexity driven by the implementation of new digital businesses and the drive for digitalization. Technology vendors have responded by providing public cloud platforms and the introduction of microservices. <\/p>\n\n\n\n<p class=\"has-sizing-medium\"><\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"563\" src=\"https:\/\/nr.stage.dekodes.no\/en\/content\/uploads\/sites\/2\/2021\/11\/PReVENT-anomalier-Martin-Tveten-1024x563.png\" alt=\"\" class=\"wp-image-13102\" srcset=\"https:\/\/nr.stage.dekodes.no\/content\/uploads\/sites\/2\/2021\/11\/PReVENT-anomalier-Martin-Tveten-1024x563.png 1024w, https:\/\/nr.stage.dekodes.no\/content\/uploads\/sites\/2\/2021\/11\/PReVENT-anomalier-Martin-Tveten-300x165.png 300w, https:\/\/nr.stage.dekodes.no\/content\/uploads\/sites\/2\/2021\/11\/PReVENT-anomalier-Martin-Tveten-768x422.png 768w, https:\/\/nr.stage.dekodes.no\/content\/uploads\/sites\/2\/2021\/11\/PReVENT-anomalier-Martin-Tveten.png 1394w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Anomaly detection for a time timeseries. Figure: Martin Tveten<\/figcaption><\/figure>\n\n\n\n<p class=\"has-sizing-medium\">This has allowed businesses&nbsp;the tools&nbsp;to implement new solutions faster&nbsp;making&nbsp;applications no longer monolith applications deployed to a few physical servers. Now, applications consist of complex combinations of custom applications, packaged vendor applications, microservices,&nbsp;and containers with dependencies spanning industry value chains. Hence, any performance degradation in even a single component (out of thousands) can have ripple effects that disrupt a full value chain and massive financial consequences.&nbsp;<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p class=\"has-sizing-large\">Our objectives are to <\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>find a way to combine numerical time series data and text-based log events to&nbsp;gain&nbsp;insight into the performance of IT systems and alert about potential problems and their root cause;<\/li>\n\n\n\n<li>do it in a completely automatic and general way so the framework can be adapted and applied to any&nbsp;kind of business, time series, and&nbsp;log&nbsp;data, without additional tuning.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p class=\"has-sizing-medium\"><\/p>\n\n\n\n<p class=\"has-sizing-medium\"><strong>FoU&nbsp;Challenges for NR&nbsp;in the project:&nbsp;<\/strong><\/p>\n\n\n\n<p class=\"has-sizing-medium\">&#8211;&nbsp;Multivariate anomaly detection algorithms using time series data&nbsp;across a vast array of IT&nbsp;processes;&nbsp;<\/p>\n\n\n\n<p class=\"has-sizing-medium\">&#8211;&nbsp;Unsupervised event&nbsp;(log) analysis and prediction using natural language processing; and&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"has-sizing-medium\">&#8211; Combination of&nbsp;time series and event&nbsp;(log) data to detect and predict anomalies.&nbsp;<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\t\t<div id=\"post-type-multi-block_7341f68346d4cd9ff80a6c1cc5060529\" class=\"wp-block-post-type-multi type-manual style-card-bc_employee t2-grid\">\n\t\t\t\t\t\t\t<div class=\"t2-grid-item-col-12\">\n\t\t\t\t\t\t<a href=\"https:\/\/nr.stage.dekodes.no\/en\/employees\/martin-tveten\/\" class='card-employee'>\n\t\t\t\t\t<figure>\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/nr.stage.dekodes.no\/content\/uploads\/sites\/2\/2024\/05\/martin-tveten-3.jpg\" alt=\"\">\n\t\t\t<\/figure>\n\t\t\t\t<div class=\"card-employee__content\">\n\t\t\t<p class=\"card-employee__name\">Martin Tveten<\/p>\n\t\t\t\t\t\t\t<p class=\"card-employee__position\">Senior Research Scientist<\/p>\n\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 24 24\" height=\"24\" width=\"24\" class=\"t2-icon t2-icon-arrowforward\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M15.9 4.259a1.438 1.438 0 0 1-.147.037c-.139.031-.339.201-.421.359-.084.161-.084.529-.001.685.035.066 1.361 1.416 2.947 3l2.882 2.88-10.19.02c-8.543.017-10.206.029-10.29.075-.282.155-.413.372-.413.685 0 .313.131.53.413.685.084.046 1.747.058 10.29.075l10.19.02-2.882 2.88c-1.586 1.584-2.912 2.934-2.947 3-.077.145-.085.521-.013.66a.849.849 0 0 0 .342.35c.156.082.526.081.68-.001.066-.035 1.735-1.681 3.709-3.656 2.526-2.53 3.606-3.637 3.65-3.742A.892.892 0 0 0 23.76 12a.892.892 0 0 0-.061-.271c-.044-.105-1.124-1.212-3.65-3.742-1.974-1.975-3.634-3.616-3.689-3.645-.105-.055-.392-.107-.46-.083\"\/><\/svg>\n\t\t<\/div>\n\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\n\n\n<div class=\"wp-block-group has-nr-dark-yellow-background-color has-background\">\n<p class=\"has-sizing-medium\">Name: <em>PReVENT:&nbsp;PRediction&nbsp;+&nbsp;eVENT<\/em><\/p>\n\n\n\n<p class=\"has-sizing-medium\">Partner: AIMS&nbsp;Innovation<\/p>\n\n\n\n<p class=\"has-sizing-medium\">Period: 2021-2024<\/p>\n\n\n\n<p class=\"has-sizing-medium\">Funding: AIMS Innovation, The Research Council of Norway<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<p class=\"has-sizing-medium\"><\/p>\n","protected":false},"featured_media":30313,"template":"","meta":{"_acf_changed":false,"_trash_the_other_posts":false,"editor_notices":[],"footnotes":""},"class_list":["post-13101","bc_project","type-bc_project","status-publish","has-post-thumbnail"],"acf":[],"_links":{"self":[{"href":"https:\/\/nr.stage.dekodes.no\/en\/wp-json\/wp\/v2\/bc_project\/13101","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nr.stage.dekodes.no\/en\/wp-json\/wp\/v2\/bc_project"}],"about":[{"href":"https:\/\/nr.stage.dekodes.no\/en\/wp-json\/wp\/v2\/types\/bc_project"}],"version-history":[{"count":5,"href":"https:\/\/nr.stage.dekodes.no\/en\/wp-json\/wp\/v2\/bc_project\/13101\/revisions"}],"predecessor-version":[{"id":30314,"href":"https:\/\/nr.stage.dekodes.no\/en\/wp-json\/wp\/v2\/bc_project\/13101\/revisions\/30314"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/nr.stage.dekodes.no\/en\/wp-json\/wp\/v2\/media\/30313"}],"wp:attachment":[{"href":"https:\/\/nr.stage.dekodes.no\/en\/wp-json\/wp\/v2\/media?parent=13101"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}