@inproceedings{783a3a21f75a42e4b8e1290c6471ac96,
title = "ForkBase: Immutable, tamper-evident storage substrate for branchable applications",
abstract = "Data collaboration activities typically require systematic or protocol-based coordination to be scalable. Git, an effective enabler for collaborative coding, has been attested for its success in countless projects around the world. Hence, applying the Git philosophy to general data collaboration beyond coding is motivating. We call it Git for data. However, the original Git design handles data at the file granule, which is considered too coarse-grained for many database applications. We argue that Git for data should be co-designed with database systems. To this end, we developed ForkBase to make Git for data practical. ForkBase is a distributed, immutable storage system designed for data version management and data collaborative operation. In this demonstration, we show how ForkBase can greatly facilitate collaborative data management and how its novel data deduplication technique can improve storage efficiency for archiving massive data versions.",
author = "Qian Lin and Kaiyuan Yang and {Anh Dinh}, {Tien Tuan} and Qingchao Cai and Gang Chen and Ooi, {Beng Chin} and Pingcheng Ruan and Sheng Wang and Zhongle Xie and Meihui Zhang and Olafs Vandans",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 36th IEEE International Conference on Data Engineering, ICDE 2020 ; Conference date: 20-04-2020 Through 24-04-2020",
year = "2020",
month = apr,
doi = "10.1109/ICDE48307.2020.00153",
language = "English",
series = "Proceedings - International Conference on Data Engineering",
publisher = "IEEE Computer Society",
pages = "1718--1721",
booktitle = "Proceedings - 2020 IEEE 36th International Conference on Data Engineering, ICDE 2020",
address = "United States",
}