Check out the new USENIX Web site.

USENIX Home . About USENIX . Events . membership . Publications . Students
4th USENIX Conference on File and Storage Technologies—Abstract

Pp. 31–44 of the Proceedings

MicroHash: An Efficient Index Structure for Flash-Based Sensor Devices

Demetrios Zeinalipour-Yazti, University of Cyprus; Song Lin, Vana Kalogeraki, Dimitrios Gunopulos, and Walid A. Najjar, University of California, Riverside


In this paper we propose the MicroHash index, which is an efficient external memory structure for Wireless Sensor Devices (WSDs). The most prevalent storage medium for WSDs is flash memory. Our index structure exploits the asymmetric read/write and wear characteristics of flash memory in order to offer high performance indexing and searching capabilities in the presence of a low energy budget which is typical for the devices under discussion. A key idea behind MicroHash is to eliminate expensive random access deletions. We have implemented MicroHash in nesC, the programming language of the TinyOS [7] operating system. Our trace-driven experimentation with several real datasets reveals that our index structure offers excellent search performance at a small cost of constructing and maintaining the index.
  • View the full text of this paper in HTML and PDF.
    Click here if you have forgotten your password Until December 2006, you will need your USENIX membership identification in order to access the full papers. The Proceedings are published as a collective work, © 2005 by the USENIX Association. All Rights Reserved. Rights to individual papers remain with the author or the author's employer. Permission is granted for the noncommercial reproduction of the complete work for educational or research purposes. USENIX acknowledges all trademarks within this paper.

  • If you need the latest Adobe Acrobat Reader, you can download it from Adobe's site.
To become a USENIX Member, please see our Membership Information.

?Need help? Use our Contacts page.

Last changed: 15 Nov. 2005 jel
Technical Program
FAST '05 Home