Adaptive Database Instance Hibernation for Multi-Tenant Cloud Services
Year: 2026
Type: article
Abstract: We present an adaptive hibernation system for multi-tenant embedded database instances in cloud environments. The system enables thousands of user database instances to share minimal compute resources through intelligent instance lifecycle management. Our approach combines LRU-based handle caching, predictive wake scheduling, tiered hibernation states, and zero-memory hibernated state management. The system achieves 50-100x user density improvements over traditional database-per-user architectures while maintaining sub-second wake latency for 95% of requests. Key innovations include encryption-key-aware hibernation (preserving zero-knowledge guarantees), column-family-based tenant isolation with independent hibernation, and adaptive hibernation timeouts based on usage patterns and subscription tiers.
Author: Moya Vaca, Daniel
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7141178022
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