Flash device support for database management

Philippe Bonnet*, Luc Bouganim

*Corresponding author for this work

Research output: Contribution to conferencePaperResearchpeer-review

11 Citations (Scopus)

Abstract

While disks have offered a stable behavior for decades - thus guaranteeing the timelessness of many database design decisions, flash devices keep on mutating. Their behavior varies across models and across firmware updates for the same model. Many researchers have proposed to adapt database algorithms for existing flash devices; others have tried to capture the performance characteristics of flash devices. However, today, we neither have a reference DBMS design nor a performance model for flash devices: database researchers are running after flash memory technology. In this paper, we take the reverse approach and we define how flash devices should support database management. We advocate that flash devices should provide DBMS with more control over IO behavior without sacrificing correctness or robustness. We introduce the notion of bimodal flash devices that expose the full potential of the underlying flash chips as long as the submitted IOs respect a few well-defined constraints. We suggest two approaches for implementing bimodal flash devices: (a) based on the narrow block device interface, or (b) based on a rich interface that allows a DBMS to explicitly control IO behavior. We believe that these approaches are natural evolutions of the current generation of flash devices, whose complexity and opacity is illsuited for database management. We discuss how bimodal flash devices would benefit many existing techniques proposed by the database research community, and identify a set of new research issues.

Original languageEnglish
Publication date2011
Number of pages8
Publication statusPublished - 2011
Externally publishedYes
Event5th Biennial Conference on Innovative Data Systems Research, CIDR 2011 - Asilomar, CA, United States
Duration: 9 Jan 201112 Jan 2011

Conference

Conference5th Biennial Conference on Innovative Data Systems Research, CIDR 2011
Country/TerritoryUnited States
CityAsilomar, CA
Period09/01/201112/01/2011

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