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POIO performance in windows and linux
 

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    <p>We want to build a web service to return some images (like google map tiles).</p> <p>And the source data is organized as the esri <a href="http://blogs.esri.com/esri/arcgis/2010/05/27/introducing-the-compact-cache-storage-format/" rel="nofollow">compact cache format</a>,the key of our service is to read the tiles from the bundles.</p> <p>I am not sure how to choose the platform,windows or linux?</p> <p>It is said that the linux have a bettor IO reading/writing performance than that of windows.</p> <p>However java is our only choose if we choose linux,so I want to know if there is any points we should know to impove the IO reading performnce in linux?</p> <p>PS:</p> <p>In winodws platform,we will build the service based on .net4 using c#,and deploy the service use iis.</p> <p>In linux,we will build the service using java (maybe based on spring mvc or some other mvc framework),and deploy the service using tomcat.</p> <p><strong>Update:</strong></p> <p>We may have the following source compact files in different folds:</p> <pre><code>L1 RxxCxx.bundle RxxCxx.bundlx L2 RxxCxx.bundle RxxCxx.bundlx </code></pre> <p>And the request from the client may looks like this:</p> <pre><code>http://ourserver/maptile?row=123&amp;col=234&amp;level=1.png </code></pre> <p>For this requst,we will go in to the fold <code>L1</code> since the level is <code>1</code>,then read the <code>RxxCxx.bundlx</code> file first,since this file is the metadata that till tell us the position(the offset and length in <code>RxxCxx.bundle</code>) of the data for render the image(<code>row=123&amp;col=234</code>),then we will read the <code>RxxCxx.bundle</code> according to the offset and length. Then we render the data to an image by write them to the response and set the content type to "image/png" or something else.</p> <p>This is a whole procceed to handle a request.</p> <p>Then I wonder if there is any documents or exist demos which can show me how to handle these type of IO reading?</p>
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    1. COThe bundling might actually a bad choice, since *at least* two reads are required to fetch an object (one for the TOC, one for the object) Having one object per file may cost some diskspace, but will decrease the buffer footprint. Linux's disk buffering and inode- and directory-caching can easily handle thousands of small files, all residing in disk buffers. Keeping the size of a directory limited to a fwe hundred may be requred (eg by using the first few letters of the object name/number as a subdirectory name)
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