MEMS-based Storage

Description

MEMS-based storage is an emerging non-volatile secondary storage technology. With fundamentally different underlying architectures, MEMS-based storage promises seek times 10-20 times faster than hard drives, storage densities 10 times greater, and power consumption an order of magnitude lower. Our investigations include physical device modeling, performance modeling and prediction, request scheduling, power management, and using MEMS as another layer in the storage hierarchy.

Status

MEMS-based storage is a promising non-volatile secondary storage technology currently being developed. With fundamentally different underlying architectures, MEMS-based storage promises seek times 10-20 times faster than hard drives, storage densities 10 times greater, and power consumption an order of magnitude lower. It can provide several to tens of gigabyte highly reliable non-volatile storage in a single chip as small as a quarter, with low entry cost, low shock sensitivity, and potentially high embedded computing power.

Publications

• Mohammed G. Khatib, Ethan L. Miller, Pieter H. Hartel, Workload-Based Configuration of MEMS-Based Storage Devices for Mobile Systems, Proceedings of the 8th ACM & IEEE Conference on Embedded Software (EMSOFT '08), October 2008.
• Bo Hong, Scott A. Brandt, Darrell D. E. Long, Ethan L. Miller, Ying Lin, Using MEMS-Based Storage in Computer Systems—Device Modeling and Management, ACM Transactions on Storage, Vol. 2, No. 2, May 2006, pages 139-160.
• Bo Hong, Scott A. Brandt, Darrell D. E. Long, Thomas Schwarz, Feng Wang, Using MEMS-Based Storage in Computer Systems—MEMS Storage Architectures, ACM Transactions on Storage, February 2006, pages 1-21.
• Bo Hong, Scott A. Brandt, Darrell D. E. Long, Feng Wang, Using MEMS-based Storage to Boost Disk Performance, IEEE / NASA Goddard Conference on Mass Storage Systems and Technologies (MSST 2005), April 2005, pages 202–209.
• Bo Hong, Thomas Schwarz, Scott A. Brandt, Darrell D. E. Long, Reliability of mems-based storage enclosures, roceedings of the 12th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS '04), October 2004, pages 571-579.
• Bo Hong, Scott A. Brandt, Darrell D. E. Long, Ethan L. Miller, Karen Glocer, Zachary Peterson, Zone-based shortest positioning time first scheduling for MEMS-based storage devices, Proceedings of the 11th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS '03), December 2003, pages 104-113.
• Ivan Dramaliev, Tara Madhyastha, Optimizing probe-based storage, Proceedings of the Second USENIX Conference on File and Storage Technologies (FAST), March 2003, pages 103-114.
• Ying Lin, Scott A. Brandt, Darrell D. E. Long, Ethan L. Miller, Power conservation strategies for MEMS-based storage devices, Proceedings of the 10th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS '02), October 2002.
• Bo Hong, Scott A. Brandt, An analytical solution to a MEMS seek time model, Technical Report UCSC-CRL-02-31, Storage Systems Research Center, University of California, Santa Cruz, September 2002.
• Miriam Sivan-Zimet, Tara Madhyastha, Workload based modeling of probe-based storage, Proceedings of the 2002 SIGMETRICS Conference on Measurement and Modeling of Computer Systems, June 2002, pages 256-257.
• Zachary Peterson, Darrell D. E. Long, Scott A. Brandt, Data Placement Based on Seek Time Analysis of a MEMS-based Storage Device, Work-In-Progress Session of the Conference on File and Storage Technology (FAST 2002), January 2002.
• Tara Madhyastha, Katherine Pu Yang, Physical modeling of probe-based storage, Proceedings of the 18th IEEE Symposium on Mass Storage Systems and Technologies, April 2001, pages 207-224.