{"id":2344,"date":"2022-01-25T11:38:46","date_gmt":"2022-01-25T16:38:46","guid":{"rendered":"https:\/\/www.bu.edu\/rhcollab\/?page_id=2344"},"modified":"2022-02-08T08:30:28","modified_gmt":"2022-02-08T13:30:28","slug":"ai-for-cloud-ops","status":"publish","type":"page","link":"https:\/\/www.bu.edu\/rhcollab\/projects\/artificial-intelligence-2\/ai-for-cloud-ops\/","title":{"rendered":"AI for Cloud Ops"},"content":{"rendered":"<figure id=\"attachment2347\" aria-describedby=\"caption-attachment2347\" style=\"width: 1716px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" src=\"\/rhcollab\/files\/2022\/01\/aiforops_pic2.png\" alt=\"\" width=\"1706\" height=\"468\" class=\"wp-image-2347 size-full\" srcset=\"https:\/\/www.bu.edu\/rhcollab\/files\/2022\/01\/aiforops_pic2.png 1706w, https:\/\/www.bu.edu\/rhcollab\/files\/2022\/01\/aiforops_pic2-636x174.png 636w, https:\/\/www.bu.edu\/rhcollab\/files\/2022\/01\/aiforops_pic2-1024x281.png 1024w, https:\/\/www.bu.edu\/rhcollab\/files\/2022\/01\/aiforops_pic2-768x211.png 768w, https:\/\/www.bu.edu\/rhcollab\/files\/2022\/01\/aiforops_pic2-1536x421.png 1536w\" sizes=\"(max-width: 1706px) 100vw, 1706px\" \/><figcaption id=\"caption-attachment2347\" class=\"wp-caption-text\">Cross-layer data visualization that will be designed as part of the project. Each geometric shape in the trace graph represents a cloud entity, such as a container, service, load balancer, etc.<\/figcaption><\/figure>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">BU Faculty Members: <a href=\"https:\/\/www.bu.edu\/dbin\/ece\/people\/acoskun\/\">Ayse Coskun<\/a>, <a href=\"https:\/\/zaoxing.github.io\/\">Alan Liu<\/a>, and <a href=\"https:\/\/seclab.bu.edu\/people\/gianluca\/\">Gianluca Stringhini<\/a><\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Red Hatters: Steven Huels, Marcel Hild, and Daniel Riek<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">IBM researcher: Fabio Oliviera<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\">Graduate Students: Anthony Byrne, Mert Toslali, Saad Ullah, and Lesley Zhou<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Today&#8217;s Continuous Integration\/Continuous Development (CI\/CD) trends encourage rapid design of software using a wide range of customized, off-the-shelf, and legacy software components, followed by frequent updates that are immediately deployed on the cloud. Altogether, this component diversity and break-neck pace of development amplify the difficulty in identifying, localizing, or fixing problems related to performance, resilience, and security. Existing approaches that rely on human experts have limited applicability to modern CI\/CD processes, as they are fragile, costly, and often not scalable. This project aims to address this gap in effective cloud management and operations with a concerted, systematic approach to building and integrating AI-driven software analytics into production systems. We aim to provide a rich selection of heavily-automated \u201cops\u201d functionality as well as intuitive, easily-accessible analytics to users, developers, and administrators. In this way, our longer-term aim is to improve performance, resilience, and security in the cloud without incurring high operation costs.<\/span><\/p>\n<p><strong>Project Repositories<\/strong><\/p>\n<p><a href=\"https:\/\/iter8.tools\/0.8\/\"><span style=\"font-weight: 400;\">Iter8 Online Experimentation Framework<\/span><\/a><\/p>\n<p><a href=\"https:\/\/github.com\/peaclab\/praxi\"><span style=\"font-weight: 400;\">Praxi Software Discovery using ML<\/span><\/a><\/p>\n<p><a href=\"https:\/\/github.com\/peaclab\/ace\">ACE: Approximate Concrete Execution\u00a0<\/a><\/p>\n<p><strong>Other Funding<\/strong><\/p>\n<p>Ayse Coskun, IBM Faculty Award, 2020<br \/>\nAyse Coskun (Co-PI), NSF CISE CSR, A Just-in-Time, Cross-Layer Instrumentation Framework for Diagnosing Performance Problems in Distributed Applications. PI: Raja Sambasivan at Tufts University, 2018-2022<br \/>\nAyse Coskun, IBM Open Collaborative Research Award, 2016-2020<br \/>\nAyse Coskun, Red Hat Collaboratory, 2018-2020<\/p>\n<p><a href=\"https:\/\/research.redhat.com\/blog\/research_project\/ai-for-cloud-ops\/\">Check out more about this project on the Red Hat Research website.<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>BU Faculty Members: Ayse Coskun, Alan Liu, and Gianluca Stringhini Red Hatters: Steven Huels, Marcel Hild, and Daniel Riek IBM researcher: Fabio Oliviera Graduate Students: Anthony Byrne, Mert Toslali, Saad Ullah, and Lesley Zhou Today&#8217;s Continuous Integration\/Continuous Development (CI\/CD) trends encourage rapid design of software using a wide range of customized, off-the-shelf, and legacy software [&hellip;]<\/p>\n","protected":false},"author":18885,"featured_media":0,"parent":2255,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.bu.edu\/rhcollab\/wp-json\/wp\/v2\/pages\/2344"}],"collection":[{"href":"https:\/\/www.bu.edu\/rhcollab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.bu.edu\/rhcollab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/rhcollab\/wp-json\/wp\/v2\/users\/18885"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/rhcollab\/wp-json\/wp\/v2\/comments?post=2344"}],"version-history":[{"count":17,"href":"https:\/\/www.bu.edu\/rhcollab\/wp-json\/wp\/v2\/pages\/2344\/revisions"}],"predecessor-version":[{"id":2522,"href":"https:\/\/www.bu.edu\/rhcollab\/wp-json\/wp\/v2\/pages\/2344\/revisions\/2522"}],"up":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/rhcollab\/wp-json\/wp\/v2\/pages\/2255"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/rhcollab\/wp-json\/wp\/v2\/media?parent=2344"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}