Continuous Data Reorganization




Automated Tuning of Disk Layouts

The mechanical positioning delays of disk accesses continue to plague system performance. To address this, many heuristics have been developed for adapting on-disk data layouts to expected and observed workload characteristics. We are developing a two-tiered software architecture for cleanly and extensibly combining such heuristics. In this architecture, each heuristic is implemented independently and an adaptive combiner merges their suggestions based on how well they work in the given environment. The result is a simpler and more robust system for automated tuning of
disk layouts.

People

FACULTY

Greg Ganger

STUDENTS

Mike Mesnier
Brandon Salmon
Craig Soules
Eno Thereska

Acknowledgements

We thank the members and companies of the PDL Consortium: Amazon, Facebook, Google, Hewlett Packard Enterprise, Hitachi Ltd., Intel Corporation, IBM, Microsoft Research, NetApp, Inc., Oracle Corporation, Pure Storage, Salesforce, Samsung Semiconductor Inc., Seagate Technology, Two Sigma, and Western Digital for their interest, insights, feedback, and support.