Research Paper#Database Systems, Buffer Management, Machine Learning, Kernel Extensibility🔬 ResearchAnalyzed: Jan 3, 2026 16:17
Buffer Management Evolution in Database Systems
Published:Dec 28, 2025 16:35
•1 min read
•ArXiv
Analysis
This paper provides a comprehensive survey of buffer management techniques in database systems, tracing their evolution from classical algorithms to modern machine learning and disaggregated memory approaches. It's valuable for understanding the historical context, current state, and future directions of this critical component for database performance. The analysis of architectural patterns, trade-offs, and open challenges makes it a useful resource for researchers and practitioners.
Key Takeaways
- •Provides a historical overview of buffer management algorithms.
- •Examines the shift towards machine learning and disaggregated memory.
- •Analyzes architectural patterns, performance trade-offs, and open research challenges.
- •Highlights the integration of machine learning and kernel extensibility for future buffer management.
Reference
“The paper concludes by outlining a research direction that integrates machine learning with kernel extensibility mechanisms to enable adaptive, cross-layer buffer management for heterogeneous memory hierarchies in modern database systems.”