Skip to main content
SpringerLink
Log in

Intelligent Storage Systems

  • Living reference work entry
  • First Online:
Encyclopedia of Database Systems

  • 74 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Recommended Reading

  1. Acharya A, Uysal M, Saltz JH. Active disks: programming model, algorithms and evaluation. In: Proceedings of 8th international conference on architectural support for programming languages and operating systems. 1998. p. 81–91.

    Google Scholar 

  2. ANSI. Information technology – SCSI object-based storage device commands (OSD). standard ANSI/INCITS 400–2004. 2004.

    Google Scholar 

  3. Canaday RH, Harrison RD, Ivie EL, Ryder JL, Wehr LA. A back-end computer for data base management. Commun ACM. 1974;17(10):575–82.

    Article  Google Scholar 

  4. DeWitt DJ, Gerber RH, Graefe G, Heytens ML, Kumar KB, Muralikrishna M. GAMMA – a high performance dataflow database machine. In: Proceedings of 12th international conference on very large data bases. 1986. p. 228–37.

    Google Scholar 

  5. Keeton K, Patterson DA, Hellerstein JM. A case for intelligent disks (IDISKs). ACM SIGMOD Rec. 1998;27(3):42–52.

    Article  Google Scholar 

  6. Kitsuregawa M, Hi T, Moto-Oka T. Application of hash to data base machine and its architecture. N Gener Comput. 1983;1(1):63–74.

    Article  Google Scholar 

  7. Ozkarahan EA, Schuster SA, Smith KC. RAP – an associative processor for database management. In: Proceedings of national computer conference. 1975. p. 379–87.

    Google Scholar 

  8. Riedel E, Gibson GA, Faloutsos C. Active storage for large-scale data mining and multimedia. In: Proceedings of 24th international conference on very large data bases. 1998. p. 62–73.

    Google Scholar 

  9. SNIA Storage Management Initiative. Storage management technical specification, Overview Version 1.2.0, Revision 6. 2007.

    Google Scholar 

  10. SNIA XAM Initiative. XAM Initiative Overview. 2007.

    Google Scholar 

  11. Su SYW, Lipovski GJ. CASSM: a cellular system for very large data bases. In: Proceedings of 1st international conference on very data bases. 1975. p. 456–72.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. The University of Tokyo, Tokyo, Japan

    Kazuo Goda

Authors
  1. Kazuo Goda
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Kazuo Goda .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, Georgia, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, Ontario, Canada

    M. Tamer Özsu

Section Editor information

  1. Inst. of Industrial Science, Univ. of Tokyo, Komaba 4?6?1, 153?8505, Tokyo, Meguro Ku, Japan

    Masaru Kitsuregawa

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer Science+Business Media LLC

About this entry

Cite this entry

Goda, K. (2016). Intelligent Storage Systems. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-7993-3_1344-2

Download citation

  • DOI: https://doi.org/10.1007/978-1-4899-7993-3_1344-2

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4899-7993-3

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

Publish with us

Policies and ethics

Search

Navigation