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FastCDC: a fast and efficient content-defined chunking approach for data deduplication

Research article (USENIX Annual Technical Conference, 2016) · cited 64× · AI/ML
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FastCDC: a fast and efficient content-defined chunking approach for data deduplication

Summary

FastCDC: a fast and efficient content-defined chunking approach for data deduplication is a scholarly article[1].

Key Facts

  • FastCDC: a fast and efficient content-defined chunking approach for data deduplication's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). FastCDC: a fast and efficient content-defined chunking approach for data deduplication. Retrieved May 24, 2026, from https://4ort.xyz/entity/fastcdc-a-fast-and-efficient-content-defined-chunking-approach-for-data-deduplication
MLA “FastCDC: a fast and efficient content-defined chunking approach for data deduplication.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fastcdc-a-fast-and-efficient-content-defined-chunking-approach-for-data-deduplication.
BibTeX @misc{4ortxyz_fastcdc-a-fast-and-efficient-content-defined-chunking-approach-for-data-deduplication_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FastCDC: a fast and efficient content-defined chunking approach for data deduplication}}, year = {2026}, url = {https://4ort.xyz/entity/fastcdc-a-fast-and-efficient-content-defined-chunking-approach-for-data-deduplication}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FastCDC: a fast and efficient content-defined chunking approach for data deduplication — https://4ort.xyz/entity/fastcdc-a-fast-and-efficient-content-defined-chunking-approach-for-data-deduplication (retrieved 2026-05-24)

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