Data Persistence Design
Data Persistence Design is a methodological framework within serverless application architecture that specifies how data is durably stored, retrieved, and managed across ephemeral function executions, distinguished by its focus on state consistency, scalability, and integration with event-driven and cloud-native storage services.
29
Publications
4K
Citations
89
Authors
34
Institutions
Publications per year
2017–2026
2
29
John Kubiatowicz, David Bindel, Yan Chen et al. · ACM SIGPLAN Notices · 2000 · 2K citations · Full text
John Kubiatowicz, David Bindel, Yan Chen et al. · 2000 · 868 citations
Jishen Zhao, Sheng Li, Doe Hyun Yoon et al. · 2013 · 238 citations
Persisting big-data: The NoSQL landscape
Alejandro Corbellini, Cristian Mateos, Alejandro Zunino et al. · Information Systems · 2016 · 144 citations · Full text
Aaron Schram, Kenneth M. Anderson · 2012 · 89 citations
1–5 of 29
89
4
h-index
4
h-index
4
h-index
4
h-index
4
h-index
1–5 of 89
34
University of California, Berkeley
Berkeley, United States
4 h-index
48 publications
36.5K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
3 h-index
3 publications
55 citations
Centro Científico Tecnológico - Tucumán
Tucumán, Argentina
1 h-index
5 publications
720 citations

Universidad Nacional del Centro de la Provincia de Buenos Aires
Tandil, Argentina
1 h-index
5 publications
720 citations

University of L'Aquila
L’Aquila, Italy
1 h-index
4 publications
40 citations
Centro Científico Tecnológico - San Juan
San Juan, Argentina
1 h-index
5 publications
720 citations

Christian-Albrechts-Universität zu Kiel
Kiel, Germany
1 h-index
1 publications
16 citations
Shenyang Normal University
Shenyang, China
1 h-index
3 publications
30 citations
1–8 of 34
1 publications · 81 citations
1
h-index
1 publications · 144 citations
1
h-index
IMWUT · 1 publications · 22 citations
1
h-index
Repository · 1 publications · 52 citations
1
h-index
1 publications · 24 citations
1
h-index
1–5