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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
5.5509715e-05
Overall Rank
5,356 | 62.75%
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
53 PNUTS: Yahoo!'s Hosted Data Serving Platform 2008 VLDB 0.00066144767
960 A Comparison of Join Algorithms for Log Processing in MapReduce 2010 SIGMOD 0.00015012242
1,340 Scalable Distributed Stream Processing 2003 CIDR 0.00012489223
2,059 Stream Warehousing with DataDepot 2009 SIGMOD 9.6582554e-05
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