Transactions can simplify distributed applications by hiding data distribution, concurrency, and failures from the application developer. Ideally the developer would see the abstraction of a single large machine that runs transactions sequentially and never fails. This requires the transactional subsystem to provide opacity (strict serializability for both committed and aborted transactions), as well as transparent fault tolerance with high availability. As even the best abstractions are unlikely to be used if they perform poorly, the system must also provide high performance.<\/p>\n
Existing distributed transactional designs either weaken this abstraction or are not designed for the best performance within a data center. This paper extends the design of FaRM \u2014 which provides strict serializability only for committed transactions \u2014 to provide opacity while maintaining FaRM\u2019s high throughput, low latency, and high availability within a modern data center. It uses timestamp ordering based on real time with clocks synchronized to within tens of microseconds across a cluster, and a failover protocol to ensure correctness across clock master failures. FaRM with opacity can commit 5.4 million neworder transactions per second when running the TPC-C transaction mix on 90 machines with 3-way replication.<\/p>\n","protected":false},"excerpt":{"rendered":"
Transactions can simplify distributed applications by hiding data distribution, concurrency, and failures from the application developer. Ideally the developer would see the abstraction of a single large machine that runs transactions sequentially and never fails. This requires the transactional subsystem to provide opacity (strict serializability for both committed and aborted transactions), as well as transparent […]<\/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":[246574],"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":[264846],"msr-pillar":[],"class_list":["post-560202","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-highlight-award","msr-research-area-systems-and-networking","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2019-6-30","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":"ACM","msr_how_published":"","msr_notes":"","msr_highlight_text":"Best Paper Honorable Mention","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":"","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2019\/01\/mod057.pdf","id":"561288","title":"mod057","label_id":"243109","label":0}],"msr_related_uploader":"","msr_attachments":[{"id":561288,"url":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2019\/01\/mod057.pdf"},{"id":560205,"url":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2019\/01\/mod057.pdf.pdf"}],"msr-author-ordering":[{"type":"user_nicename","value":"Alex Shamis","user_id":30941,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Alex Shamis"},{"type":"user_nicename","value":"Matthew Renzelmann","user_id":33011,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Matthew Renzelmann"},{"type":"user_nicename","value":"Stanko Novakovic","user_id":38109,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Stanko Novakovic"},{"type":"text","value":"Georgios Chatzopoulos","user_id":0,"rest_url":false},{"type":"user_nicename","value":"Aleksandar Dragojevic","user_id":30927,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Aleksandar Dragojevic"},{"type":"user_nicename","value":"Dushyanth Narayanan","user_id":31659,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Dushyanth Narayanan"},{"type":"user_nicename","value":"Miguel Castro","user_id":32857,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Miguel Castro"}],"msr_impact_theme":["Computing foundations"],"msr_research_lab":[199561,199565],"msr_event":[],"msr_group":[144927,282170],"msr_project":[240020],"publication":[],"video":[],"download":[],"msr_publication_type":"inproceedings","related_content":{"projects":[{"ID":240020,"post_title":"FaRM","post_name":"farm","post_type":"msr-project","post_date":"2016-06-19 18:33:21","post_modified":"2023-03-23 07:26:47","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/farm\/","post_excerpt":"FaRM is a new main memory distributed computing platform that exploits RDMA communication to improve both latency and throughput by an order of magnitude relative to state of the art main memory systems that use TCP\/IP. 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