Cloud customers require highly reliable and performant leased
\ndatacenter infrastructure to deliver quality service for their users.
\nIt is thus critical for cloud providers to quickly detect and mitigate
\ninfrastructure faults. While much is known about managing faults
\nthat arise in the datacenter physical infrastructure (i.e., network
\nand server equipment), comparatively little has been published
\nregarding management of the logical overlay networks frequently
\nemployed to provide strong isolation in multi-tenant datacenters.
\nWe present a first look into the nuances of monitoring these
\n\u201cvirtualized\u201d networks through the lens of a large cloud provider.
\nWe describe challenges to building cloud-based fault monitoring
\nsystems, and use the output of a production system to illuminate
\nhow virtualization impacts multi-tenant datacenter fault management.
\nWe show that interactions between the virtualization, tenant
\nsoftware, and lower layers of the network fabric both simplify and
\ncomplicate different aspects of fault detection and diagnosis efforts.<\/p>\n","protected":false},"excerpt":{"rendered":"
Cloud customers require highly reliable and performant leased datacenter infrastructure to deliver quality service for their users. It is thus critical for cloud providers to quickly detect and mitigate infrastructure faults. While much is known about managing faults that arise in the datacenter physical infrastructure (i.e., network and server equipment), comparatively little has been published […]<\/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-507809","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-systems-and-networking","msr-locale-en_us"],"msr_publishername":"ACM","msr_edition":"Internet Measurement Conference (IMC)","msr_affiliation":"","msr_published_date":"2018-10-31","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":"507812","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","title":"CloudDatacenter","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2018\/09\/CloudDatacenter.pdf","id":507812,"label_id":0}],"msr_related_uploader":"","msr_attachments":[],"msr-author-ordering":[{"type":"text","value":"Arjun Roy","user_id":0,"rest_url":false},{"type":"text","value":"Deepak Bansal","user_id":0,"rest_url":false},{"type":"text","value":"David Brumley","user_id":0,"rest_url":false},{"type":"text","value":"Harish Kumar Chandrappa","user_id":0,"rest_url":false},{"type":"text","value":"Parag Sharma","user_id":0,"rest_url":false},{"type":"text","value":"Rishabh Tewari","user_id":0,"rest_url":false},{"type":"user_nicename","value":"Behnaz Arzani","user_id":37320,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Behnaz Arzani"},{"type":"text","value":"Alex C. 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