Abstract
Different data storage structures suit different data management scenarios, therefore, a universal data storage structure is not possible. Furthermore, each data storage structure has different resource consumption because of their unique execution complexity. Self-tuning data management systems need a mechanism to select appropriate data storage structure and to adapt it with changing data management requirements. We propose Evolving Storage Structures for self-tuning data management system that supports customization and adaptation with changing data management needs.
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