{"id":1114452,"date":"2025-01-16T09:27:21","date_gmt":"2025-01-16T17:27:21","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&#038;p=1114452"},"modified":"2025-01-16T09:34:38","modified_gmt":"2025-01-16T17:34:38","slug":"cloud-efficiency-optimization-cleo","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/cloud-efficiency-optimization-cleo\/","title":{"rendered":"Cloud Efficiency Optimization (CLEO)"},"content":{"rendered":"<section class=\"mb-3 moray-highlight\">\n\t<div class=\"card-img-overlay mx-lg-0\">\n\t\t<div class=\"card-background  has-background-gable-green card-background--full-bleed\">\n\t\t\t\t\t<\/div>\n\t\t<!-- Foreground -->\n\t\t<div class=\"card-foreground d-flex mt-md-n5 my-lg-5 px-g px-lg-0\">\n\t\t\t<!-- Container -->\n\t\t\t<div class=\"container d-flex mt-md-n5 my-lg-5 \">\n\t\t\t\t<!-- Card wrapper -->\n\t\t\t\t<div class=\"w-100 w-lg-col-5\">\n\t\t\t\t\t<!-- Card -->\n\t\t\t\t\t<div class=\"card material-md-card py-5 px-md-5\">\n\t\t\t\t\t\t<div class=\"card-body \">\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\n<h1 class=\"wp-block-heading\" id=\"cloud-efficiency-optimization-cleo\">Cloud Efficiency Optimization (CLEO)<\/h1>\n\n\n\n<p>Improving resource utilization and sustainability<\/p>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n\n\n\n\n\n<p>The goal of this project is to infuse optimization solutions across Microsoft&#8217;s Cloud, targeting improvements in resource utilization (space, power, compute) and sustainability. We are interested in both fundamental and practical aspects of the problem. We designed novel algorithms with provable guarantees to find the optimal placement of servers in data centers, generate optimal plans for server fulfillment, and optimize the allocation of Virtual Machines. Our algorithms have been deployed in production in collaboration with multiple Azure teams, leading to improvements in power stranding, cycle times, and packing density, resulting in cost savings of hundreds of millions of dollars per year.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"751\" height=\"429\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/12\/cloud-supply-chain-process-diagram.png\" alt=\"Cloud Efficiency Optimization | cloud supply chain process diagram\" class=\"wp-image-1114458\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/12\/cloud-supply-chain-process-diagram.png 751w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/12\/cloud-supply-chain-process-diagram-300x171.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/12\/cloud-supply-chain-process-diagram-240x137.png 240w\" sizes=\"auto, (max-width: 751px) 100vw, 751px\" \/><figcaption class=\"wp-element-caption\">Cloud supply chain process diagram<\/figcaption><\/figure>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n","protected":false},"excerpt":{"rendered":"<p>Improving resource utilization and sustainability The goal of this project is to infuse optimization solutions across Microsoft&#8217;s Cloud, targeting improvements in resource utilization (space, power, compute) and sustainability. We are interested in both fundamental and practical aspects of the problem. We designed novel algorithms with provable guarantees to find the optimal placement of servers in [&hellip;]<\/p>\n","protected":false},"featured_media":501986,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"research-area":[13561,13556,13547],"msr-locale":[268875],"msr-impact-theme":[264846],"msr-pillar":[],"class_list":["post-1114452","msr-project","type-msr-project","status-publish","has-post-thumbnail","hentry","msr-research-area-algorithms","msr-research-area-artificial-intelligence","msr-research-area-systems-and-networking","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"","related-publications":[698599,719800,904659,936420,939507,945744,956523,1098534,1126152,1141604],"related-downloads":[],"related-videos":[1131777],"related-groups":[569136],"related-events":[],"related-opportunities":[],"related-posts":[951852],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"user_nicename","display_name":"Hugo Barbalho","user_id":40744,"people_section":"Section name 0","alias":"hugobarbalho"},{"type":"user_nicename","display_name":"Patricia Kovaleski","user_id":40681,"people_section":"Section name 0","alias":"pkovaleski"},{"type":"user_nicename","display_name":"Luke Marshall","user_id":37386,"people_section":"Section name 0","alias":"lumarsha"},{"type":"user_nicename","display_name":"Konstantina Mellou","user_id":38874,"people_section":"Section name 0","alias":"kmellou"},{"type":"user_nicename","display_name":"Ishai Menache","user_id":32116,"people_section":"Section name 0","alias":"ishai"},{"type":"user_nicename","display_name":"Marco Molinaro","user_id":42204,"people_section":"Section name 0","alias":"mmolinaro"},{"type":"guest","display_name":"Tamires Santos","user_id":847402,"people_section":"Section name 0","alias":""}],"msr_research_lab":[199565],"msr_impact_theme":["Computing foundations"],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/1114452","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":4,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/1114452\/revisions"}],"predecessor-version":[{"id":1121997,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/1114452\/revisions\/1121997"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/501986"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=1114452"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=1114452"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=1114452"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=1114452"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=1114452"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}