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While a simple circular buffer may suf ce for the most rudimentary programs, this approach cannot satisfy the needs of more complex applications, such as the Mate virtual machine [18] In order to support complex applications, as well as to provide a reliable logging mechanism for sensor data, a sensor network operating system must include a le system A le system tailored for sensor nodes needs to take into consideration a multitude of resource constraints, and it should be optimized for the common operations and data types observed in a sensor network The three most commonly encountered data sources in a sensor network are con guration data (sampling rate, various thresholds, etc), sequentially appended sensor data, and binary code images Clearly, the most common operation on les would be sequential appending and reading of sensor data.



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Random access of le data is very rare, and is generally only performed during dynamic reprogramming The most common persistent storage medium for sensor nodes is ash memory The characteristics of ash memory are signi cantly different from those of most magnetic media, and it is important to take these differences into account when designing a le system for a sensor network operating system Flash memory has a limited write lifetime on the order of 10,000 write operations The process of writing data to ash is a multistep process that consumes a great deal of energy: A write operation onto a ash page requires reading the entire page into RAM, modifying the data as needed, erasing the target ash page, and nally, writing the entire ash page The extremely low-frequency (ELF) ash- le system [19] is an example of a le system designed for microsensor nodes.





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ELF employs a log-structured paradigm and write caching to achieve wear leveling ELF is adapted to the most common operations of sensor data logging, namely, write-appends, but supports a full set of le I/O features, namely, sequential reads and writes as well as random reads and writes ELF provides additional features such as best-effort reliability of designated les A traditional log-structured le system creates a new sequential log entry for each write operation that occurs This type of operation causes very good wear leveling, since the ash memory can be used sequentially all the way through, only returning to previously used blocks after all of the blocks in ash have been written to at least once Creating a log entry for each write-append operation is not feasible,.

( r 2 2 e r =2 ; for r ! 0; and f R r; 2 2 0; elsewhere ( r 2 2 e r =2 ; for r ! 0 f R r 2 0; elsewhere 8 < 1 ; for f 2 : 0; elsewhere R and are independent

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The total assets to total liabilities ratio is Total assets / Total liabilities The calculation, Year 0003: The calculation, Year 0004: $839,400 $575,500 $859,300 $555,200 1.46 1 1.55 1

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Borderline Prototype Based on Standardized Item Scores SWAP Item Mean Z-Score 1.14 1.09 1.08 .93 .83 .82 .70 .65 .65 .64

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