SOURCE-LINKED INTELLIGENCE

Towards Anticipatory Databases Through Shared Data and Workload Semantics

arXiv · AI, language, vision and robotics · article · Sep 13, 2026 · UTC

Database management systems increasingly serve dynamic and exploratory workloads, yet many of their decisions still rely on low-level signals such as recency, frequency, and address locality. These signals capture how data was accessed, but not what is being examined or how an analytical focus evolves. We argue for treating workload semantics as a first-class control signal for anticipatory decision making. Central to this view, we introduce semantic locality and semantic trajectories, which capture relationships among nearby queries and how those relationships evolve across a session. We prop

Read original source ↗ Open in workspace

recordType

paper

region

Global