![]() ![]() This section of the Resource Monitor window provides you with more useful troubleshooting information. In Figure A, you can see that the process named DPMRA.exe is doing a ton of reads from the disk. ![]() The information you’re provided in this section isn’t particularly useful when troubleshooting except to show you which processes are consuming the most disk performance resources. The average number of bytes accessed per second in the past minute. The average number of bytes written per second by the process in the past minute. The average number of bytes read per second by the process in the past minute. This is useful if you want to use other utilities to manage processes, or if you want to easily match up processes with Task Manager. The ID number associated with the process. This is the name of the process that is actively using the disk. You are shown the name of the executable and a number of performance statistics. This section of the Resource Monitor window shows you a list of all of the running processes that are using disk resources. I won’t repeat metrics if one type of metric appears in multiple areas, I only list it once. In the sections below, I will provide details for each metric. On the right side of the window are a number of graphs, each depicting a key storage-based performance metric. Occupying most of the window is the statistics area, which I’ll be explaining in depth. Let’s start with an overall look at the console. ( Note: Like all of our other servers, this server is running as a virtual machine under VMware vSphere 4.1.)įigure A One look at Resource Monitor in Windows Server 2008 R2 (Click the image to enlarge.) This figure shows a Resource Monitor view from a production server running Windows Server 2008 R2 and Exchange Server 2010 with all Exchange roles installed as such, this server has significant need for storage resources that operate within acceptable boundaries. In this installment, I discuss the various disk-related metrics that you can view with Resource Monitor, explain the graphs you see, and provide some context around each metric.įor the purposes of this article, we’ll use the screenshot in Figure A. In my four-part series about the Resource Monitor, I will focus on each resource monitoring aspect of the tool: CPU, Memory, Disk, and Network. When Microsoft added the comprehensive Resource Monitor tool to Windows, it added an outstanding at-a-glance tool that allows administrators to glean deep intelligence regarding the operating condition of mission critical Windows servers. Scott Lowe gives an overview of the tool's graphics and metrics. The Windows Resource Monitor tool provides very good at-a-glance information about some important disk-based performance metrics. But RAI’s “dovetail” JOIN technology processes all arms of the JOIN in parallel, operating more efficiently the more arms there are.Use Resource Monitor to monitor storage performance Your relations on disk are dense with data.įully normalized data means many relations, and queries require large n-way JOINs that would kill a typical database. The relational model is known for being able to handle high row counts.Ĭloud storage enables open-ended scalability for your relational data.įully-normalized GNF data has no empty rows, no sparse data. Unlike other cloud database systems, this is truly a single copy of your data for multiple workloads. Applications can apply multiple logical data models to the underlying relations. Unlike more commonly used Third Normal Form, fully normalized Sixth Normal Form eliminates the need to reorganize data to suit each workload. RAI’s “dovetail” join unlocks the performance needed to make GNF practical. GNF extends Sixth Normal Form data modelling by adding concepts and meaning to the links that connect the individual Sixth Normal Form relations. In Sixth Normal Form, each relation has one or more key columns and just one value column. ![]() Graph Normal Form is RAI’s implementation of Sixth Normal Form, or 6NF, the ultimate expression of the relational model. RAI technology combines this flexibility and scalability to make building and querying enterprise-scale Knowledge Graphs a feasible reality for any organization. GNF is based on the relational model, well-known for its scalability, enabling you to load and process enterprise-scale data. RAI’s Graph Normal Form, or GNF, enables true re-use of your organization’s data assets for a data-centric architecture. ![]()
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