An increasing number of applications require distributed data storage and processing infrastructure over large clusters of commodity hardware for critical business decisions. The MapReduce programming model [2] helps programmers write distributed applications on large clusters, but requires dealing with complex implementation details (e.g., reasoning with data distribution and overall system configuration).<\/p>\n","protected":false},"excerpt":{"rendered":"
An increasing number of applications require distributed data storage and processing infrastructure over large clusters of commodity hardware for critical business decisions. The MapReduce programming model [2] helps programmers write distributed applications on large clusters, but requires dealing with complex implementation details (e.g., reasoning with data distribution and overall system configuration).<\/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":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13547],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-354110","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-systems-and-networking","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2012-5-20","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"354113","msr_publicationurl":"http:\/\/www.sigmod.org\/2012\/","msr_doi":"","msr_publication_uploader":[{"type":"file","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/01\/rope_sigmod12.pdf","id":"354113","title":"Recurring Job Optimization in Scope","label_id":"243109","label":0},{"type":"url","viewUrl":"false","id":"false","title":"http:\/\/www.sigmod.org\/2012\/","label_id":"243109","label":0}],"msr_related_uploader":"","msr_attachments":[{"id":0,"url":"http:\/\/www.sigmod.org\/2012\/"}],"msr-author-ordering":[{"type":"user_nicename","value":"Nico Bruno","user_id":43155,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Nico Bruno"},{"type":"user_nicename","value":"Srikanth Kandula","user_id":33707,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Srikanth Kandula"},{"type":"text","value":"Bing Shi","user_id":0,"rest_url":false},{"type":"user_nicename","value":"Ming-Chuan Wu","user_id":32936,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Ming-Chuan Wu"},{"type":"user_nicename","value":"Jingren Zhou","user_id":32423,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Jingren Zhou"}],"msr_impact_theme":[],"msr_research_lab":[199565],"msr_event":[],"msr_group":[144899],"msr_project":[239762],"publication":[],"video":[],"download":[],"msr_publication_type":"inproceedings","related_content":{"projects":[{"ID":239762,"post_title":"Cluster scheduling","post_name":"cluster-scheduling","post_type":"msr-project","post_date":"2020-02-28 19:03:12","post_modified":"2020-03-13 16:55:01","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/cluster-scheduling\/","post_excerpt":"We consider various scheduling problems that arise in large clusters including multi-resource packing and dependency-aware scheduling. 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