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MUCH: Multithreaded Content-Based File Chunking

机译:MUCH:多线程基于内容的文件分块

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In this work, we developed a novel multithreaded variable size chunking method, MUCH, which exploits the multicore architecture of the modern microprocessors. The legacy single threaded variable size chunking method leaves much to be desired in terms of effectively exploiting the bandwidth of the state of the art storage devices. MUCH guarantees : The result of chunking does not change regardless of the degree of multithreading or the segment size. This is achieved by inter and intra-segment coalescing at the master thread and Dual Mode Chunking at the client thread. We developed an elaborate performance model to determine the optimal multithreading degree and the segment size. MUCH is implemented in the prototype deduplication system. By fully exploiting the available CPU cores (quad-core), we achieved up to 4 increase in the chunking performance (MByte/sec). MUCH successfully addresses the performance issues of file chunking which is one of the performance bottlenecks in modern deduplication systems by parallelizing the file chunking operation while guaranteeing Chunking Invariability.
机译:在这项工作中,我们开发了一种新颖的多线程可变大小分块方法MUCH,该方法利用了现代微处理器的多核体系结构。就有效地利用现有技术的存储设备的带宽而言,传统的单线程可变大小分块方法还有很多需要改进的地方。 MUCH保证:无论多线程的程度或段的大小如何,分块的结果都不会改变。这是通过在主线程处进行段内和段内合并以及在客户机线程处进行双模式分块来实现的。我们开发了详尽的性能模型来确定最佳的多线程度和段大小。 MUCH在原型重复数据删除系统中实现。通过充分利用可用的CPU内核(四核),我们将分块性能(兆字节/秒)提高了多达4倍。 MUCH通过并行化文件分块操作并保证分块不变性,成功解决了文件分块的性能问题,这是现代重复数据删除系统中的性能瓶颈之一。

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