{"id":152698,"date":"2003-10-01T00:00:00","date_gmt":"2003-10-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/scalable-byzantine-fault-quantifying-clock-synchronization\/"},"modified":"2018-10-16T20:10:52","modified_gmt":"2018-10-17T03:10:52","slug":"scalable-byzantine-fault-quantifying-clock-synchronization","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/scalable-byzantine-fault-quantifying-clock-synchronization\/","title":{"rendered":"Scalable Byzantine-Fault-Quantifying Clock Synchronization"},"content":{"rendered":"<div class=\"asset-content\">\n<p>We present a scalable protocol for establishing bounds on clock synchronization in the presence of Byzantine faults. The worst a faulty participant can do to a correct host is cause the correct host to establish (arbitrarily) weak but correct bounds; because the correct hosts knows what those bounds are, we refer to the protocol as Byzantine-fault quantifying. Correct hosts can use the quantified bounds to inform path selection, enabling them to route around misbehaving hosts.<\/p>\n<p>We describe how to employ the protocol in a practical environment that makes use of Byzantine-fault tolerant replicated state machines.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We present a scalable protocol for establishing bounds on clock synchronization in the presence of Byzantine faults. The worst a faulty participant can do to a correct host is cause the correct host to establish (arbitrarily) weak but correct bounds; because the correct hosts knows what those bounds are, we refer to the protocol as [&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":[],"msr-publication-type":[193718],"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-152698","msr-research-item","type-msr-research-item","status-publish","hentry","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2003-10-01","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"10","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"MSR-TR-2003-67","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":"210166","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","title":"tr-2003-67.pdf","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/tr-2003-67.pdf","id":210166,"label_id":0},{"type":"file","title":"tr-2003-67.doc","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/tr-2003-67.doc","id":210165,"label_id":0}],"msr_related_uploader":"","msr_attachments":[{"id":210166,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/tr-2003-67.pdf"},{"id":210165,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/tr-2003-67.doc"}],"msr-author-ordering":[{"type":"text","value":"John 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