Published Paper of International Journal of Database Management Systems (IJDMS)


Paper Title:
Architectural Patterns and Performance Analysis of Integer Surrogate Keys for Time-Series Data Warehousing

Authors:
Sviatoslav Stumpf and Vladislav Povyshev, ITMO University, Russia

Abstract:
This paper provides a comprehensive analysis of architectural patterns and optimization techniques for time-series data processing, centered on the replacement of native DATE/TIMESTAMP types with integerbased surrogate keys. We demonstrate that employing 32-bit (YYYYMMDD) and 64-bit integer formats for datetime representation, coupled with specialized algorithms for indexing, range search, and aggregation, yields substantial performance gains. Empirical evaluations confirm a 30–60% reduction in storage footprint, a 25–40% acceleration in query execution, and up to an eightfold increase in system throughput through batched operations.

Keywords:
Integer Labels, Time Series, Optimization, Performance, Data Warehouse, Indexing, Aggregation

Volume URL: https://airccse.org/journal/ijdms/current2025.html

Pdf URL: https://aircconline.com/ijdms/V17N6/17625ijdms01.pdf

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