Supported By: NSF Award #IIS-1617586
Recently, a swath of specialized data management systems has attempted to displace traditional relational databsaes, each sacrificing a measure of physical independence for the consequent performance gains. However, relying on an entire data management system built around a specific set of performance/capability tradeoffs requires making strong assumptions about (often unpredictable) workload expectations. ASTral does for specialized databse systems what self-describing data did for specialized schemas. ASTral involves several sub-projects:
ASTral is based on an idea called Just-in-time datastructures, where data structure manipulation and access logic are decoupled from the physical representation. A just-in-time data structure uses a set of simple semantic and structural building blocks both to emulate the behavior of existing data structures, and to dynamically create new data structures synthesized on-the-spot to match presented workloads.
(The ASTral project is being developed in collaboration with Luke Ziarek)
This page last updated 2024-02-01 09:42:44 -0500