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RapidCDC: Leveraging Duplicate Locality to Accelerate Chunking in CDC-based Deduplication Systems

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RapidCDC

The code provides an example implementation of the idea shown in the paper "RapidCDC: Leveraging Duplicate Locality to Accelerate Chunking in CDC-based Deduplication Systems", which will appear in SoCC 2019.

Cite the paper like below,

@inproceedings{10.1145/3357223.3362731,

author = {Ni, Fan and Jiang, Song},

title = {RapidCDC: Leveraging Duplicate Locality to Accelerate Chunking in CDC-Based Deduplication Systems},

year = {2019},

isbn = {9781450369732},

publisher = {Association for Computing Machinery},

address = {New York, NY, USA},

url = {https://doi.org/10.1145/3357223.3362731},

doi = {10.1145/3357223.3362731},

booktitle = {Proceedings of the ACM Symposium on Cloud Computing},

pages = {220–232},

numpages = {13},

keywords = {deduplication, locality, storage systems, CDC, content-defined chunking},

location = {Santa Cruz, CA, USA},

series = {SoCC ’19} }

or

Fan Ni and Song Jiang. 2019. RapidCDC: Leveraging Duplicate Locality to Accelerate Chunking in CDC-based Deduplication Systems. In Proceedings of the ACM Symposium on Cloud Computing (SoCC ’19). Association for Computing Machinery, New York, NY, USA, 220–232. DOI:https://doi.org/10.1145/3357223.3362731

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