Insights into providing dynamic adaptation of operating system policies
ACM SIGOPS Operating Systems Review
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Systems today are application driven. Increasing application sizes re-iterate the importance of memory management and increasing application complexity stresses the need for self-management. At the same time, different memory requirements of different applications require that optimizations for memory management be done from a complete system perspective. In the view of this, the goal of this thesis is to take a step towards self-optimizing memory management at all the different levels of the memory hierarchy. This thesis makes three main contributions to the memory management system. First, it undertakes a thorough characterization study for the TLBs and proposes a novel prefetching mechanism that is simple, powerful and adapts to the applications. Second, it presents a dynamic memory allocator that tunes itself to the applications. Finally, towards the goal of developing a self-optimizing VMM, it finds the important VMM parameters that govern the system performance, relates the influence of these parameters to the application/OS characteristics, and provides a solid motivation to set these parameters dynamically.