会议论文

Tian, WL

英文

2021 IEEE INTERNATIONAL CONFERENCE ON NETWORKING, ARCHITECTURE AND STORAGE (NAS)

2021

275-282

2021 IEEE International Conference on Networking, Architecture and Storage (NAS)

2021 IEEE International Conference on Networking, Architecture and Storage (NAS)

October 2021

Riverside, CA, USA

[Ye, Xuming;Tang, Jia;Tian, Wenlong;Geng, Yuqing] Univ South China, Sch Comp Sci & Technol, Hengyang, Peoples R China.^[Li, Ruixuan] Huazhong Univ Sci & Technol, Sch Comp Sci & Technol, Wuhan, Peoples R China.^[Xiao, Weijun] Virginia Commonwealth Univ, Elect & Comp Engn, Richmond, VA 23284 USA.^[Xu, Zhiyong] Suffolk Univ, Math & Comp Sci Dept, Boston, MA USA.^[Xu, Zhiyong] Chinese Acad Sci, Shenzhen Inst Adv Technol, Beijing, Peoples R China.

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-7281-7745-8

10.1109/NAS51552.2021.9605398

National Key Research and Development Program of China [2016YFB0800402]; National Natural Science Foundation of China [U1836204, U1936108]; University of South China University research foundation [190XQD121]; Teaching Reform Foundation [2019YB-XJG30]; Natural Science Foundation of Hunan Province of China [2021JJ40468]; Hunan Province research foundation [19C1624]; Ministry of Education Humanities and Foundation on Humanities and Social Sciences [20YJC880027]; National Science Foundation [CNS 1526190]

本校为第一且通讯机构

With the prevalence of cloud storage, data deduplication has been a widely used technology by removing cross users' duplicate data and saving network bandwidth. Nevertheless, traditional data deduplication hardly detects duplicate data among resemblance chunks. Currently, a resemblance data deduplication, called Finesse, has been proposed to detect and remove the duplicate data among similar chunks efficiently. However, we observe that the chunks following the similar chunk have a high chance of resembling data locality property, and vice versa. Processing these adjacent similar chunks in smal...