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In-Memory Performance for Big Data

In-Memory Performance for Big Data

陈傲天
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发布于
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1928
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We introduce here a novel buffer pool design that adapts pointer swizzling for references between system objects (as opposed to application objects), and uses it to practically eliminate buffer pool overheads for memoryresident data. Our implementation and experimental evaluation demonstrate that we achieve graceful performance degradation when the working set grows to exceed the buffer pool size, and graceful improvement when the working set shrinks towards and below the memory and buffer pool sizes.
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