DBScholar

Back to papers

DASH: Database Shadowing for Mobile DBMS

Summary: DASH: a mobile SQLite crash-recovery technique blending shadow paging and logging to beat rollback and WAL drawbacks. Three primitives—Aggregate Update, Atomic Exchange, Version Reset—no FS changes; ~451 LOC; 4x PERSIST, 2.5% WAL, 4x faster 99.9th percentile latency (Android). (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12193
Venue
VLDB
Year
2019
Pagerank
5.4574671e-05
Overall Rank
8,264 | 43.31%
DOI
10.14778/3317315.3317321

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{won_vldb19,
        title = {{DASH: Database Shadowing for Mobile DBMS}},
        author = {Won, Youjip and Kim, Sundoo and Yun, Juseong and Tuan, Dam Quang and Seo, Jiwon},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {7},
        pages = {793--806},
        doi = {10.14778/3317315.3317321},
        url = {https://doi.org/10.14778/3317315.3317321},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
11,575 In-Page Shadowing and Two-Version Timestamp Ordering for Mobile DBMSs 2022 VLDB 5.093636e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers