SVL: Storage virtualization engine leveraging DBMS technology

Lin Qiao, Balakrishna R. Iyer, Divyakant Agrawal, Amr El Abbadi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The demands on storage systems are increasingly requiring expressiveness, fault-tolerance, security, distribution, etc. Such functionalities have been traditionally provided by DBMS. We propose a storage management system, SVL, that leverages DBMS technology. The primary problem in block storage management is block visualization which is essentially an abstraction layer that separates the user view of storage from the implementation of storage. Storage virtualization standardizes storage management in a heterogeneous storage and/or host environment, and plays a crucial role in enhancing storage functionality and utilization. Currently specialized hardware or microcode based solutions are popular for implementing block storage management systems, commonly referred to as disk controllers. We demonstrate how to take a general purpose commercial RDBMS, rather than a specialized solution, to support block storage management. We exploit the simple semantics of storage management systems to streamline database performance and thus attain acceptability from a storage point of view. This work promises to pave the way for diverse and innovative industrial applications of database management systems.

Original languageEnglish
Title of host publicationProceedings - 21st International Conference on Data Engineering, ICDE 2005
Pages1048-1059
Number of pages12
DOIs
Publication statusPublished - 12 Dec 2005
Event21st International Conference on Data Engineering, ICDE 2005 - Tokyo, Japan
Duration: 5 Apr 20058 Apr 2005

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Other

Other21st International Conference on Data Engineering, ICDE 2005
CountryJapan
CityTokyo
Period5/4/058/4/05

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ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems

Cite this

Qiao, L., Iyer, B. R., Agrawal, D., & Abbadi, A. E. (2005). SVL: Storage virtualization engine leveraging DBMS technology. In Proceedings - 21st International Conference on Data Engineering, ICDE 2005 (pp. 1048-1059). (Proceedings - International Conference on Data Engineering). https://doi.org/10.1109/ICDE.2005.138