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- W2151449617 abstract "In most enterprises, databases are deployed on dedicated database servers. Often, these servers are underutilized much of the time. For example, in traces from almost 200 production servers from different organizations, we see an average CPU utilization of less than 4%. This unused capacity can be potentially harnessed to consolidate multiple databases on fewer machines, reducing hardware and operational costs. Virtual machine (VM) technology is one popular way to approach this problem. However, as we demonstrate in this paper, VMs fail to adequately support database consolidation, because databases place a unique and challenging set of demands on hardware resources, which are not well-suited to the assumptions made by VM-based consolidation." @default.
- W2151449617 created "2016-06-24" @default.
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- W2151449617 date "2011-06-12" @default.
- W2151449617 modified "2023-10-18" @default.
- W2151449617 title "Workload-aware database monitoring and consolidation" @default.
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- W2151449617 doi "https://doi.org/10.1145/1989323.1989357" @default.
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