Mementos

Author:

Ransford Benjamin1,Sorber Jacob2,Fu Kevin1

Affiliation:

1. University of Massachusetts Amherst, Amherst, MA, USA

2. Dartmouth College, Hanover, NH, USA

Abstract

Transiently powered computing devices such as RFID tags, kinetic energy harvesters, and smart cards typically rely on programs that complete a task under tight time constraints before energy starvation leads to complete loss of volatile memory. Mementos is a software system that transforms general-purpose programs into interruptible computations that are protected from frequent power losses by automatic, energy-aware state checkpointing. Mementos comprises a collection of optimization passes for the LLVM compiler infrastructure and a linkable library that exercises hardware support for energy measurement while managing state checkpoints stored in nonvolatile memory. We evaluate Mementos against diverse test cases in a trace-driven simulator of transiently powered RFID-scale devices. Although Mementos's energy checks increase run time when energy is plentiful, they allow Mementos to safely suspend execution when energy dwindles, effectively spreading computation across zero or more power failures. This paper's contributions are: a study of the runtime environment for programs on RFID-scale devices; an energy-aware state checkpointing system for these devices that is implemented for the MSP430 family of microcontrollers; and a trace-driven simulator of transiently powered RFID-scale devices.

Publisher

Association for Computing Machinery (ACM)

Reference46 articles.

1. Application-level checkpointing for shared memory programs

2. J. Bruck A. Vardy A. Jiang E. Yaakobi J. Wolf R. Mateescu and P. Siegel. Storage coding for wear leveling in flash memories. In IEEE Int'l Symposium on Information Theory (ISIT '09) pages 1229--1233 June 2009. J. Bruck A. Vardy A. Jiang E. Yaakobi J. Wolf R. Mateescu and P. Siegel. Storage coding for wear leveling in flash memories. In IEEE Int'l Symposium on Information Theory (ISIT '09) pages 1229--1233 June 2009.

3. Recognizing daily activities with RFID-based sensors

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