The EEvA framework can be extended to incorporate higher-level access patterns beyond pages by introducing experts that capture different levels of granularity in the database system. For example, one could introduce experts that represent query plans or specific workload characteristics. These experts could provide insights into the patterns of queries, the types of operations being performed, and the overall behavior of the workload on the database system.
To incorporate query plans, one could design experts that analyze the structure and execution paths of queries. These experts could provide information on the sequence of operations, the tables being accessed, and the join conditions used in the queries. By incorporating query plan experts, the EEvA framework could adapt its replacement strategies based on the specific patterns observed in the query plans.
Similarly, experts representing workload characteristics could provide insights into the overall behavior of the workload on the database system. These experts could analyze the frequency of different types of queries, the distribution of query execution times, and the impact of concurrent transactions on the buffer management. By incorporating workload experts, the EEvA framework could adjust its replacement strategies to optimize performance based on the workload characteristics.
By extending the EEvA framework to incorporate higher-level access patterns beyond pages, such as query plans and workload characteristics, the algorithm can make more informed decisions about buffer management and further improve its performance in database systems.