Content-defined chunkingData deduplicationBackup storage systemsPerformance evaluationData deduplication, a data reduction technique that efficiently detects and eliminates redundant data chunks and files, has
在输入中的任意位置均需要判断要建立小块还是建立大块,这种算法称之为bimodal chunking算法。 Baseline rolling window cut-point selection. 与预设值匹配给定的l个bit的值,如果匹配成功,则在l bit的最后一位处产生了切割点。几何分布下定义平均chunk大小为2l2l。将其称为level−2llevel−2lchunker。 对于chunk...
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duplication elimination ratiocontent defined chunkingDeduplication is an efficient data reduction technique, and it is used to mitigate the problem of huge data volume in big data storage systems. Content defined chunking (CDC) is the most widely used algorithm in deduplication systems. The expected ...
Bug 1592482 - Review Request: golang-github-restic-chunker - Implementation of Content Defined Chunking (CDC) in Go Summary: Review Request: golang-github-restic-chunker - Implementation of Content Defi... Keywords: Status: CLOSED ERRATA Alias: None Product: Fedora Classification: Fedora...
Spec URL: https://phib.io/fedora/restic/golang-github-restic-chunker/golang-github-restic-chunker.spec SRPM URL: https://phib.io/fedora/restic/golang-github-restic-chunker/golang-github-restic-chunker-0-0.1.gitbb2ecf9.fc25.src.rpm Description: Implementation of Content Defined Chunking (CDC...
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() ...
Implementation of Content Defined Chunking (CDC) in Go - restic/chunker
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...
This re-parsing could provide additional benefits, such as chunking time periods, monitoring of trends, and ability to timely address changes in user preferences. Further efficiency may be provided by storing pre-parsed models for later consumptions. To the best of our knowledge, there has been ...