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Query Centric Partitioning and Allocation for Partially Replicated Database Systems

Summary: Workload-aware, query-centric, heterogeneity-aware analytical model for partitioning and partial replication enabling scalable, transparent data distribution. Efficient allocation optimizes local query execution, balances workloads across homogeneous and heterogeneous nodes via query history, reduces storage relative to replication, and provides configurable OLTP/OLAP availability. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5428
Venue
SIGMOD
Year
2017
Pagerank
4.6699261e-05
Overall Rank
7,715 | 46.33%
DOI
10.1145/3035918.3064052

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