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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Agrawal, D. Boduo Li Zhao Cao Ganesan, D. Yanlei Diao Shenoy, P. |
| Copyright Year | 2010 |
| 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. |
| Starting Page | 227 |
| Ending Page | 236 |
| File Size | 553917 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781424484805 |
| ISSN | 15332306 |
| DOI | 10.1109/RTCSA.2010.10 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-08-23 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Ash Indexes Memory management Resource management Data structures Construction industry Random access memory |
| Content Type | Text |
| Resource Type | Article |
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