Metadata Scalability
Metadata Scalability is a theoretical construct in storage systems research that characterizes the ability of a system to maintain efficient metadata management performance, such as indexing, lookup, and consistency, as the volume and complexity of metadata grow at scale.
26
Publications
717
Citations
85
Authors
36
Institutions
Publications per year
2017–2026
7
Parents
26
IndexFS: Scaling File System Metadata Performance with Stateless Caching and Bulk Insertion
Kai Ren, Qing Zheng, Swapnil Patil et al. · 2014 · 143 citations
Roshan Punnoose, Adina Crainiceanu, David Rapp · 2012 · 87 citations
Scalable and Adaptive Metadata Management in Ultra Large-Scale File Systems
Yu Hua, Yifeng Zhu, Hong Jiang et al. · 2008 · 49 citations
Adaptive and scalable metadata management to support a trillion files
Jing Xing, Jin Xiong, Ninghui Sun et al. · 2009 · 43 citations
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36
Carnegie Mellon University
Pittsburgh, United States
3 h-index
11 publications
712 citations
Argonne National Laboratory
Lemont, United States
3 h-index
4 publications
56 citations
National Institute Of Technology Silchar
Silchar, India
2 h-index
4 publications
82 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
2 publications
25 citations
Clemson University
Clemson, United States
2 h-index
4 publications
60 citations
Tsinghua University
Beijing, China
2 h-index
6 publications
111 citations
Google (United States)
Mountain View, United States
2 h-index
3 publications
63 citations

University of Maine
Orono, United States
1 h-index
1 publications
49 citations
1–8 of 36
2 publications · 24 citations
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PVLDB · 1 publications · 20 citations
1
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1 publications · 15 citations
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TPDS · 1 publications · 18 citations
1
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Repository · 1 publications · 13 citations
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