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where stripe breadth is expressed in blocks, and transfer size and block-allocation size in bytes. But this formula differs from our recommendations (and the recommendations Apple provides in its Xsan 1.4 tuning guide). In our findings, the best approach is to configure transfer settings such that the OS X transfer size directly correlates to each transaction with a LUN (rather than a storage pool).



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4. In your feature.xml file, modify the Description attribute to $Resources: featuredescription; and your Title attribute to $Resources:featuretitle;. Modify your DefaultResourceFile attribute to _Res. Your feature element should now look like this: <Feature Id="[Create guid]" Title="$Resources:featuretitle;" Description="$Resources:featuredescription;" Version="12.0.0.0" Hidden="FALSE" Scope="Web" DefaultResourceFile="_Res" xmlns="http://schemas.microsoft.com/sharepoint/"/>

Given that, we suggest setting this value so that the stripe breadth itself is equal to 1MB (rather than the aggregate across all LUNs). So in our previous example, where the File System block size is 16KB, we d use a stripe breadth of 64 blocks, resulting in a 1MB transfer to each LUN before moving on to the next. In this case, we don t really care how many LUNs are in a storage pool. From Apple s Xsan Deployment and Tuning Guide:





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The Mac OS X (or Mac OS X Server) operating system, which handles file data transfers for Xsan, performs 1 megabyte (MB) data transfers. As a result, Xsan gets maximum efficiency from the operating system when it transfers blocks of data that are a multiple of 1 MB. At the other end of the transfer, the LUN also works well when it receives 1 MB of data at a time. So, when data is written to a storage pool, you get the best performance if 1 MB of data is written to each LUN in the storage pool The amount of data Xsan writes to a LUN is determined by the product of two values you specify when you set up a volume:

The deployment manifest captures information specific to the deployment of the system as a whole. In a deployment scenario, the deployment manifest tells ClickOnce how the application should be deployed and updated. Figure 6-7 shows an example deployment manifest.

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For this example, don t worry about the lack of an elements file. We won t actually deploy anything; we re just checking that our resources are used properly. 5. Build and deploy your feature. If you followed the recipe in the beginning, this should be as easy as hitting Build in Visual Studio. 6. Verify on the Site Features page of a site that your feature now retrieves its title and description from the resource file.

The volume s block allocation size (in kilobytes) The stripe breadth of the storage pools that make up the volume (in number of allocation blocks)

It s worth noting that fundamentally, not much changed between Xsan1 and Xsan2. Certainly, Apple made great improvements to its GUI admin tools, but the underlying functionality of LUNs, storage pools, and data allocation did not drastically change. As such, we feel that many of the tuning principals prescribed by Apple for Xsan 1.4 still fundamentally apply to Xsan 2. The Apple tuning guide says little about metadata stripe breadths. The default breadth on a metadata storage pool is 256 blocks. But according to Quantum, this is too high. The company recommends a 16- or 64-block stripe breadth for metadata storage pools. Therefore, if you have a relatively small volume with a small number of files, consider using 16. If you have a larger environment with big files, think about trying 64, rather than the default of 16. The calculation to make the stripe breadth times the storage pool equal 1MB is more important for your data storage pool than for your metadata pool. As with many things Xsan, you ll get the biggest bang for your buck from tuning stripe breadths and block sizes to match the environment is where you will get the biggest bang for your buck. This is just a starting place, though. You should plan on tearing down and rebuilding your volume a few times to maximize speed (after all, doing so usually takes less than five minutes. After setting up volume affinities, you can configure your volume s metadata controllers. The wizard will show you each system that s set as a metadata controller. Generally two such controllers should suffice for any given volume or set of volumes. Once configured, metadata controllers run an instance of the FSM process. You can track performance, in

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