Exploiting the Interplay between Memory and Flash Storage in Embedded Sensor Devices

Authors:
Devesh Agrawal;Boduo Li;Zhao Cao;Deepak Ganesan;Yanlei Diao;Prashant Shenoy
Affiliations:
-;-;-;-;-;-
Venue:
RTCSA '10 Proceedings of the 2010 IEEE 16th International Conference on Embedded and Real-Time Computing Systems and Applications
Year:
2010

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Abstract

Although memory is an important constraint in embedded sensor nodes, existing embedded applications and systems are typically designed to work under the memory constraints of a single platform and do not consider the interplay between memory and flash storage. In this paper, we present the design of a memory-adaptive flash-based embedded sensor system that allows an application to exploit the presence of flash and adapt to different amounts of RAM on the embedded device. We describe how such a system can be exploited by data-centric sensor applications. Our design involves several novel features: flash and memory-efficient storage and indexing, techniques for efficient storage reclamation, and intelligent buffer management to maximize write coalescing. Our results show that our system is highly energy-efficient under different workloads, and can be configured for embedded sensor platforms with memory constraints ranging from a few kilobytes to hundreds of kilobytes.