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LogKV: Exploiting Key-Value Stores for Event Log Processing

Summary: LogKV repurposes key-value stores as a unified backend for interactive and batch log analytics, supporting time-range scans, windowed joins, reference-table joins and aggregations. Introduces novel ingestion, load‑balancing, storage‑layout and query‑processing techniques to exploit KV scalability; preliminary results show promising performance. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
201
Venue
CIDR
Year
2013
Pagerank
5.5461097e-05
Overall Rank
5,367 | 62.71%
DOI
-

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

Rank Cited Paper Year Venue Pagerank
54 PNUTS: Yahoo!'s Hosted Data Serving Platform 2008 VLDB 0.0006582344
962 A Comparison of Join Algorithms for Log Processing in MapReduce 2010 SIGMOD 0.00015003834
1,343 Scalable Distributed Stream Processing 2003 CIDR 0.00012478318
2,063 Stream Warehousing with DataDepot 2009 SIGMOD 9.6490291e-05
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