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Asked: 2026-05-23T02:23:40+00:00

I’m developing a client/server application where the server holds large pieces of data such

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I’m developing a client/server application where the server holds large pieces of data such as big images or video files which are requested by the client and I need to create an in-memory client caching system to hold a few of those large data to speed up the process. Just to be clear, each individual image or video is not that big but the overall size of all of them can be really big.

But I’m faced with the “how much data should I cache” problem and was wondering if there are some kind of golden rules on Windows about what strategy I should adopt. The caching is done on the client, I do not need caching on the server.

  1. Should I stay under x% of global memory usage at all time ? And how much would that be ? What will happen if another program is launched and takes up a lot of memory, should I empty the cache ?
  2. Should I request how much free memory is available prior to caching and use a fixed percentage of that memory for my needs ?
  3. I hope I do not have to go there but should I ask the user how much memory he is willing to allocate to my application ? If so, how can I calculate the default value for that property and for those who will never use that setting ?
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1 Answer

  1. Editorial Team

    Rather than create your own caching algorithms why don’t you write the data to a file with the FILE_ATTRIBUTE_TEMPORARY attribute and make use of the client machine’s own cache.

    Although this approach appears to imply that you use a file, if there is memory available in the system then the file will never leave the cache and will remain in memory the whole time.

    Some advantages:

    • You don’t need to write any code.
    • The system cache takes account of all the other processes running. It would not be practical for you to take that on yourself.
    • On 64 bit Windows the system can use all the memory available to it for the cache. In a 32 bit Delphi process you are limited to the 32 bit address space.
    • Even if your cache is full and your files to get flushed to disk, local disk access is much faster than querying the database and then transmitting the files over the network.
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