Enabling large-scale storage in sensor networks with the Coffee file system

Persistent storage offers multiple advantages for sensor networks, yet the available storage systems have been unwieldy because of their complexity and device-specific designs. We present the Coffee file system for flash-based sensor devices. Coffee provides a programming interface for building effi...

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Veröffentlicht in:2009 International Conference on Information Processing in Sensor Networks S. 349 - 360
Hauptverfasser: Tsiftes, Nicolas, Dunkels, Adam, Zhitao He, Voigt, Thiemo
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: Washington, DC, USA IEEE Computer Society 13.04.2009
IEEE
Schriftenreihe:ACM Conferences
Schlagworte:
Algorithm design and analysis
File systems
Flash memory
General and reference > Cross-computing tools and techniques > Performance
Hardware > Communication hardware, interfaces and storage > External storage
Hardware > Integrated circuits > Semiconductor memory > Non-volatile memory
Large-scale systems
Permission
Random access memory
Read-write memory
Sensor networks
Sensor systems
Software and its engineering > Software creation and management > Software verification and validation > Operational analysis
Software and its engineering > Software organization and properties > Contextual software domains > Operating systems > Communications management
Software and its engineering > Software organization and properties > Contextual software domains > Operating systems > File systems management
Software measurement
storage abstractions
storage-centric
Throughput
ISBN:1424451086, 9781424451081
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:Persistent storage offers multiple advantages for sensor networks, yet the available storage systems have been unwieldy because of their complexity and device-specific designs. We present the Coffee file system for flash-based sensor devices. Coffee provides a programming interface for building efficient and portable storage abstractions. Unlike previous flash file systems, Coffee uses a small and constant RAM footprint per file, making it scale elegantly with workloads consisting of large files or many files. In addition, the performance overhead of Coffee is low: the throughput is at least 92% of the achievable direct flash driver throughput. We show that network layer components such as routing tables and packet queues can be implemented on top of Coffee, leading to increased performance and reduced memory requirements for routing and transport protocols.
ISBN:1424451086
9781424451081
DOI:10.5555/1602165.1602197