{"id":831889,"date":"2022-04-04T07:36:35","date_gmt":"2022-04-04T14:36:35","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=831889"},"modified":"2022-04-04T07:36:35","modified_gmt":"2022-04-04T14:36:35","slug":"maximizing-page-level-cache-hit-ratios-in-large-web-services","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/maximizing-page-level-cache-hit-ratios-in-large-web-services\/","title":{"rendered":"Maximizing Page-Level Cache Hit Ratios in Large Web Services"},"content":{"rendered":"

Large web services typically serve pages consisting of many individual objects. To improve the response times of page-requests, these services store a small set of popular objects in a fast caching layer. A page-request is not considered complete until all of its objects have either been found in the cache or retrieved from a backend system. Hence, caching only speeds up a page request if all of its objects are found in the cache. We seek caching policies that maximize the page-level hit ratio-the fraction of requests that find all of their objects in the cache.This work analyzes page requests served by a Microsoft production system.We find that in practice there is potential for improving the page-level hit ratio over existing caching strategies, but that analytically maximizing the page-level hit ratio is NP-hard.<\/p>\n","protected":false},"excerpt":{"rendered":"

Large web services typically serve pages consisting of many individual objects. To improve the response times of page-requests, these services store a small set of popular objects in a fast caching layer. A page-request is not considered complete until all of its objects have either been found in the cache or retrieved from a backend […]<\/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":[248602,248227,246691,256261,263944,256222,256114,246775],"msr-conference":[263842],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-831889","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-systems-and-networking","msr-locale-en_us","msr-field-of-study-cache","msr-field-of-study-computer-network","msr-field-of-study-computer-science","msr-field-of-study-fraction-mathematics","msr-field-of-study-hit-ratio","msr-field-of-study-layer-object-oriented-design","msr-field-of-study-production-economics","msr-field-of-study-web-service"],"msr_publishername":"Association for Computing Machinery (ACM)","msr_edition":"","msr_affiliation":"","msr_published_date":"2019-1-16","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":0,"msr_main_download":"","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/04\/2018PageLevelHitRatio_SIGMETRICSabstract.pdf","id":"831901","title":"2018pagelevelhitratio_sigmetricsabstract","label_id":"243109","label":0},{"type":"url","viewUrl":"false","id":"false","title":"https:\/\/dl.acm.org\/doi\/10.1145\/3305218.3305253","label_id":"243109","label":0}],"msr_related_uploader":"","msr_attachments":[{"id":831901,"url":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/04\/2018PageLevelHitRatio_SIGMETRICSabstract.pdf"}],"msr-author-ordering":[{"type":"guest","value":"justin-wang","user_id":831892,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=justin-wang"},{"type":"guest","value":"benjamin-berg","user_id":831895,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=benjamin-berg"},{"type":"user_nicename","value":"Daniel S. 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