{"id":168843,"date":"2013-11-01T00:00:00","date_gmt":"2013-11-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/consistency-based-service-level-agreements-for-cloud-storage-2\/"},"modified":"2018-10-16T21:09:14","modified_gmt":"2018-10-17T04:09:14","slug":"consistency-based-service-level-agreements-for-cloud-storage-2","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/consistency-based-service-level-agreements-for-cloud-storage-2\/","title":{"rendered":"Consistency-based service level agreements for cloud storage"},"content":{"rendered":"

Choosing a cloud storage system and specific operations for reading and writing data requires developers to make decisions that trade off consistency for availability and performance. Applications may be locked into a choice that is not ideal for all clients and changing conditions. Pileus is a replicated key-value store that allows applications to declare their consistency and latency priorities via consistency-based service level agreements (SLAs). It dynamically selects which servers to access in order to deliver the best service given the current configuration and system conditions. In application-specific SLAs, developers can request both strong and eventual consistency as well as intermediate guarantees such as read-my-writes. Evaluations running on a worldwide test bed with geo-replicated data show that the system adapts to varying client-server latencies to provide service that matches or exceeds the best static consistency choice and server selection scheme.<\/p>\n","protected":false},"excerpt":{"rendered":"

Choosing a cloud storage system and specific operations for reading and writing data requires developers to make decisions that trade off consistency for availability and performance. Applications may be locked into a choice that is not ideal for all clients and changing conditions. Pileus is a replicated key-value store that allows applications to declare their […]<\/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-168843","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":"SOSP '13: Proceedings of the Twenty-Fourth ACM Symposium on Operating Systems Principles","msr_affiliation":"","msr_published_date":"2013-11-01","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"309\u2013324","msr_chapter":"","msr_isbn":"978-1-4503-2388-8","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":"","msr_publicationurl":"http:\/\/doi.acm.org\/10.1145\/2517349.2522731","msr_doi":"10.1145\/2517349.2522731","msr_publication_uploader":[{"type":"url","title":"http:\/\/doi.acm.org\/10.1145\/2517349.2522731","viewUrl":false,"id":false,"label_id":0},{"type":"doi","title":"10.1145\/2517349.2522731","viewUrl":false,"id":false,"label_id":0}],"msr_related_uploader":"","msr_attachments":[{"id":0,"url":"http:\/\/doi.acm.org\/10.1145\/2517349.2522731"}],"msr-author-ordering":[{"type":"text","value":"Douglas B. 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