{"id":157613,"date":"2009-01-01T00:00:00","date_gmt":"2009-01-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/unleash-stranded-power-in-data-centers-with-rackpacker\/"},"modified":"2018-10-16T19:57:37","modified_gmt":"2018-10-17T02:57:37","slug":"unleash-stranded-power-in-data-centers-with-rackpacker","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/unleash-stranded-power-in-data-centers-with-rackpacker\/","title":{"rendered":"Unleash Stranded Power in Data Centers with RackPacker"},"content":{"rendered":"
\n

Data center infrastructures are highly underutilized on
\naverage. Typically, a data center manager computes the
\nnumber of servers his facility can host by dividing the total
\npower capacity of each rack by an assigned \u201cpeak power
\nrating\u201d for each server. However, this scheme suffers from
\nthe weakness of all static provisioning schemes \u2013 it does not
\naccount for the variability of load on the servers. We propose
\nan algorithm that studies the power consumption behavior
\nof the servers over time and suggests optimal ways
\nto combine them in racks to maximize rack power utilization.
\nOur algorithm \u2013 RackPacker \u2013 smooths aggregate rack
\npower utilization by grouping together servers that are unlikely
\nto peak together. Our evaluation of RackPacker on
\ndata from an MSN Messenger deployment shows substantially
\nsuperior results than static packing.<\/p>\n<\/div>\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Data center infrastructures are highly underutilized on average. Typically, a data center manager computes the number of servers his facility can host by dividing the total power capacity of each rack by an assigned \u201cpeak power rating\u201d for each server. However, this scheme suffers from the weakness of all static provisioning schemes \u2013 it does […]<\/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-157613","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-systems-and-networking","msr-locale-en_us"],"msr_publishername":"","msr_edition":"Workshop on Energy-Efficient Design (in conjunction with 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