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 not account for the variability of load on the servers. We propose an algorithm that studies the power consumption behavior of the servers over time and suggests optimal ways to combine them in racks to maximize rack power utilization. Our algorithm \u2013 RackPacker \u2013 smooths aggregate rack power utilization by grouping together servers that are unlikely to peak together. Our evaluation of RackPacker on data from an MSN Messenger deployment shows substantially superior results than static packing.<\/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. 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