arXiv (All)
open access
Benchmarking Content-Defined Chunking Algorithms for Data Deduplication
Data deduplication relies on content-defined chunking (CDC) algorithms to decide where data is split. We observe that most CDC algorithms are modular: a base chunking algorithm fixes the byte-level cut-point condition, while high-level techniques (size normalization, min/max thresholds, caching) lay
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Benchmarking Content-Defined Chunking Algorithms for Data Deduplication#1291768
- SnapShare: Isolation-Preserving Deduplication for Serverless Snapshots#1297670
- SnapShare: Isolation-Preserving Deduplication for Serverless Snapshots#1291774
- Lower Layer Guidelines for Robust RTP/UDP/IP Header Compression#208907
- RObust Header Compression (ROHC): Requirements and Assumptions for 0-byte IP/UDP/RTP Compression#132727
Record · ID 1298200
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive