The invention discloses a content-defined chunking remote file real-time updating method. The invention aims at providing a file increment updating method with low network transmission expenditure for a distributive storage system, so that the distributive storage system can support the random writing ...
CDC算法给出了一个chunk的大小的最小值、最大值、平均值的界定。 Method Using chunk existence information breaking-apart algorithm 将所有内容全部划分为较大的chunk,然后识别新内容的变化区域,然后在这个变化区域的附近重新划分较
FastCDC-Go is a Go library implementing theFastCDCcontent-defined chunking algorithm. Install: go get -u github.com/jotfs/fastcdc-go Example import("bytes""fmt""log""math/rand""io""github.com/jotfs/fastcdc-go")opts:=fastcdc.Options{MinSize:256*1024AverageSize:1*1024*1024MaxSize:4*1024*10...
Wang LongxiangDong XiaosheZhang XingjunGuo FuliangWang YinfengGong WeifengSymmetryWang, L.; Dong, X.; Zhang, X.; Guo, F.; Wang, Y.; Gong, W. A logistic based mathematical model to optimize duplicate elimination ratio in content defined chunking based big data storage system. Symmetry 2016...
This package implements the Fast Content Defined Chunking algorithm along with some utilities to make it simple to use. Usage import("github.com/nasdf/fastcdc")options,_:=fastcdc.WithAverageSize(256,2)chunker,_:=fastcdc.NewChunker(reader,options)forchunker.HasNext() {chunk,_:=chunker.Next() ...
Go-ContentDefinedChunking(CDC)中Go中的实现 Content Defined Chunking (CDC)中Go中的实现 Go开发-其它杂项2019-08-14 上传大小:16KB 所需:42积分/C币 flink-sql-connector-oracle-cdc-2.5-SNAPSHOT.jar flink-sql-connector-oracle-cdc 2.5-SNAPSHOT
行预 分块 (Pre.Chunking),将其划分 为互 不交叠 的较 小的Chunk (MC),再以 MC 为单位 ,使用 滑动 窗 口检 测 连续 的新 MC 并将其 融合 为较 大的 Chunk (SC),同 时在新 旧数 据 交界 部分保 留MC,从而在 Chunk 平均 值较大的情况下,仍能获得较高的 CR,并有效减小 了CEQ 数量...
Examples include application of a variable-sized content-defined chunking technique to a first data portion to identify a content-defined chunk boundary at least partially defining a remainder section, merging of the remainder section with a second data portion ordered before the first data portion ...
Chunking is the process to break the data into chunks, and determine duplicates. Many algorithms exist, to handle the deduplication efficiency, reducing the chunk variance, and improving the computational overhead continue to be a challenging task. To solve the above challenge, we propose a smart...
Examples include application of a variable-size content-defined chunking technique to a first data portion to identify a content-defined chunk boundary at least partially defining a remainder section, merging of the remainder section with a second data portion ordered before the first data portion to...