Cache Line Deltas Compression

Daniel Cohen, S. Cohen, D. Naor, D. Waddington, Moshik Hershcovitch
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Abstract

Synchronization of replicated data and program state is an essential aspect of application fault-tolerance. Current solutions use virtual memory mapping to identify page writes and replicate them at the destination. This approach has limitations because the granularity is restricted to a minimum of 4KiB per page, which may result in more data being replicated. Motivated by the emerging CXL hardware, we expand on the work Waddington, et al. [SoCC 22] by evaluating popular compression algorithms on VM snapshot data at cache line granularity. We measure the compression ratio vs. the compression time and present our conclusions.
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缓存线增量压缩
复制数据和程序状态的同步是应用程序容错的一个重要方面。当前的解决方案使用虚拟内存映射来识别页写入,并在目标复制它们。这种方法有局限性,因为粒度被限制为每页最少4KiB,这可能导致复制更多的数据。在新兴CXL硬件的推动下,我们对Waddington等人[SoCC 22]的工作进行了扩展,在缓存线粒度上评估了流行的VM快照数据压缩算法。我们测量了压缩比与压缩时间,并给出了我们的结论。
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