I was trying to tune shared memory for Linux. However, tuning the virtual memory manager is dependent on expected Linux server/system workloads.
Wikipedia defines VM as, “Virtual memory or virtual memory addressing is a memory management technique, used by multitasking computer operating systems wherein non-contiguous memory is presented to a software (aka process) as contiguous memory. This contiguous memory is referred to as the virtual address space.”
One of the most important aspects of an operating system is the Virtual Memory Management system. Virtual Memory (VM) allows an operating system to perform many of its advanced functions, such as
=> process isolation
=> file caching
=> and swapping.
As such, it is imperative that an administrator understand the functions and tunable parameters of an operating system’s Virtual Memory Manager so that optimal performance for a given workload may be achieved.
(Picture source: wikipedia article)
During my search I found this article it explains or shows some general shared memory tuning tips for Red Hat Enterprise Linux (technically it should work with any Linux distro as settings are kernel specific)
From the article:
After reading this article, the reader should have a rudimentary understanding of the data the Red Hat Enterprise Linux (RHEL3) VM controls and the algorithms it uses. Further, the reader should have a fairly good understanding of general Linux VM tuning techniques. It is important to note that Linux as an operating system has a proud legacy of overhaul. Items which no longer serve useful purposes or which have better implementations as technology advances are phased out. This implies that the tuning parameters described in this article may be out of date if you are using a newer or older kernel. Fear not however! With a well grounded understanding of the general mechanics of a VM, it is fairly easy to convert knowledge of VM tuning to another VM.
=> Read more at RedHat Magazine
=> Also see Linux kernel documentation file Documentation/sysctl/vm.txt
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