{"id":164752,"date":"2013-06-22T00:00:00","date_gmt":"2013-06-22T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/rethinking-eventual-consistency\/"},"modified":"2018-10-16T20:49:07","modified_gmt":"2018-10-17T03:49:07","slug":"rethinking-eventual-consistency","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/rethinking-eventual-consistency\/","title":{"rendered":"Rethinking Eventual Consistency"},"content":{"rendered":"<div class=\"asset-content\">\n<p>There has been a resurgence of work on replicated, distributed database systems to meet the demands of intermittently-connected clients and of disaster-tolerant databases that span data centers. Many systems weaken the criteria for replica-consistency or isolation, and in some cases add new mechanisms, to improve partition-tolerance, availability, and performance. We present a framework for comparing these criteria and mechanisms, to help architects navigate through this complex design space.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>There has been a resurgence of work on replicated, distributed database systems to meet the demands of intermittently-connected clients and of disaster-tolerant databases that span data centers. Many systems weaken the criteria for replica-consistency or isolation, and in some cases add new mechanisms, to improve partition-tolerance, availability, and performance. We present a framework for comparing [&hellip;]<\/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":[13563,13547],"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-164752","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-data-platform-analytics","msr-research-area-systems-and-networking","msr-locale-en_us"],"msr_publishername":"ACM SIGMOD","msr_edition":"Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data","msr_affiliation":"","msr_published_date":"2013-06-22","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":"205383","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","title":"sigtt611-bernstein.pdf","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/sigtt611-bernstein.pdf","id":205383,"label_id":0}],"msr_related_uploader":"","msr_attachments":[{"id":205383,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/sigtt611-bernstein.pdf"}],"msr-author-ordering":[{"type":"user_nicename","value":"philbe","user_id":33253,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=philbe"},{"type":"user_nicename","value":"sudiptod","user_id":33750,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=sudiptod"}],"msr_impact_theme":[],"msr_research_lab":[],"msr_event":[],"msr_group":[957177],"msr_project":[171187],"publication":[],"video":[],"download":[],"msr_publication_type":"inproceedings","related_content":{"projects":[{"ID":171187,"post_title":"Rethinking Eventual Consistency","post_name":"rethinking-eventual-consistency","post_type":"msr-project","post_date":"2013-07-31 16:58:29","post_modified":"2017-06-14 12:58:12","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/rethinking-eventual-consistency\/","post_excerpt":"The past five years has seen a resurgence of work on replicated, distributed database systems, to meet the demands of intermittently-connected clients and disaster-tolerant database systems that span data centers. Each product or prototype uses a weakened definition of replica-consistency or isolation, and in some cases new mechanisms, to obtain improvements in partition-tolerance, availability, and performance. We have developed a framework for defining and comparing weaker consistency and isolation properties. 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