{"id":239762,"date":"2020-02-28T19:03:12","date_gmt":"2016-06-17T22:18:23","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&#038;p=239762"},"modified":"2020-03-13T16:55:01","modified_gmt":"2020-03-13T23:55:01","slug":"cluster-scheduling","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/cluster-scheduling\/","title":{"rendered":"Cluster scheduling"},"content":{"rendered":"<p>We consider various scheduling problems that arise in large clusters including multi-resource packing and dependency-aware scheduling. Our solutions have analytical foundations and are used in Microsoft&#8217;s data-parallel clusters. Some have also shipped with Yarn. Skim through the publications for more details. A closely related project, lead by our applied scientist partner team, is <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/cluster-resource-management\/\">here<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We consider various scheduling problems that arise in large clusters including multi-resource packing and dependency-aware scheduling. Our solutions have analytical foundations and are used in Microsoft&#8217;s data-parallel clusters. Some have also shipped with Yarn. Skim through the publications for more details. A closely related project, lead by our applied scientist partner team, is here.<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"research-area":[13547],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-239762","msr-project","type-msr-project","status-publish","hentry","msr-research-area-systems-and-networking","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"2016-05-01","related-publications":[671448,779569,165161,166828,238026,238090,238201,242453,354038,354053,354110],"related-downloads":[],"related-videos":[],"related-groups":[],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"user_nicename","display_name":"Ganesh Ananthanarayanan","user_id":31834,"people_section":"Section name 0","alias":"ga"},{"type":"user_nicename","display_name":"Peter Bod\u00edk","user_id":33239,"people_section":"Section name 0","alias":"peterb"},{"type":"user_nicename","display_name":"Ishai Menache","user_id":32116,"people_section":"Section name 0","alias":"ishai"}],"msr_research_lab":[199565],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/239762"}],"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\/239762\/revisions"}],"predecessor-version":[{"id":641286,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/239762\/revisions\/641286"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=239762"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=239762"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=239762"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=239762"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=239762"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}