TAILIEUCHUNG - Virtualizing Performance-Critical Database Applications in VMware® vSphere™

A robust body of literature details reproductive effects in fish, amphibians, and reptiles related to exposure to endocrine disruptors. Evidence of these effects has also been seen in wild mammals such as polar bears and seals. Environmental exposure assessments and wildlife, laboratory and epidemiologic studies show exposure to low-level environmental contaminants, such as pesticides and other chemicals, subtly undermines the ability to reproduce. The study of endocrine disruption is revealing mechanisms that show how specific environmental contaminants can alter fertility. Laboratory animal experiments have confirmed these wildlife findings | vmware Performance Study Virtualizing Performance-Critical Database Applications in VMware vSphere VMware vSphere with ESX VMware vSphere with ESX makes it easier than ever to virtualize demanding applications such as databases. Database workloads are widely acknowledged to be extremely resource-intensive. The large number of storage commands issued and the network activity to serve remote clients place significant challenges on the platform. The high consumption of CPU and memory resources leaves little room for inefficient virtualization software. The questions we re often asked are Is it possible to run a heavy-duty database application in a virtual machine Can a virtualized environment handle high storage IOPS and network packets second While database applications have been successfully deployed in virtual machines since the earliest versions of VMware ESX vSphere incorporates many performance-related enhancements such as PVSCSI a new paravirtualized SCSI adapter for virtual machines Improved I O concurrency for enhanced storage performance Improved interrupt coalescing and delivery mechanisms for better I O throughput Hardware support for memory management unit virtualization Improved CPU scheduler that can better support these larger I O intensive virtual machines By quantifying performance gains achieved as a result of these changes for a very high-end Oracle database deployment with a much larger resource footprint than one would expect to see in most production environments and highlighting the overall system performance we show that large database applications deployed in virtual machines have excellent performance. Highlights We conducted a set of experiments using the Order-Entry benchmark described in Workload Characteristics on page 3 with the goal of quantifying Performance gains due to enhancements built into ESX Performance differential between ESX and ESX Performance differential between ESX and native VMware .

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