{"id":150873,"date":"2008-12-01T00:00:00","date_gmt":"2008-12-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/everest-scaling-down-peak-loads-through-io-off-loading\/"},"modified":"2018-10-16T20:10:13","modified_gmt":"2018-10-17T03:10:13","slug":"everest-scaling-down-peak-loads-through-io-off-loading","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/everest-scaling-down-peak-loads-through-io-off-loading\/","title":{"rendered":"Everest: Scaling down peak loads through I\/O off-loading"},"content":{"rendered":"

Bursts in data center workloads are a real problem for storage subsystems. Data volumes can experience peak I\/O request rates that are over an order of magnitude higher than average load. This requires signi\ufb01cant overprovisioning, and often still results in signi\ufb01cant I\/O request latency during peaks. In order to address this problem we propose Everest, which allows data written to an overloaded volume to be temporarily off-loaded into a short-term virtual store. Everest creates the short-term store by opportunistically pooling underutilized storagere sources either on a server or across servers within the data center. Writes are temporarily off-loaded from overloaded volumes to lightly loaded volumes, thereby reducing the I\/O load on the former. Everest is transparent to and usable by unmodi\ufb01ed applications,and does not change the persistence or consistency of the storage system. We evaluate Everest using traces from a production Exchange mail server as well as other benchmarks: our results show a 1.4\u201370 times reduction in mean response times during peaks<\/p>\n","protected":false},"excerpt":{"rendered":"

Bursts in data center workloads are a real problem for storage subsystems. Data volumes can experience peak I\/O request rates that are over an order of magnitude higher than average load. This requires signi\ufb01cant overprovisioning, and often still results in signi\ufb01cant I\/O request latency during peaks. In order to address this problem we propose Everest, […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"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-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-150873","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-systems-and-networking","msr-locale-en_us"],"msr_publishername":"USENIX","msr_edition":"Proceedings of 8th USENIX Symposium on Operating Systems Design and Implementation (OSDI 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