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Improving Data Recovery From Embedded Networked Sensing Systems

Improving Data Recovery From Embedded Networked Sensing Systems

Nithya Ramanathan. Improving Data Recovery From Embedded Networked Sensing Systems. Faults Lead to Low Quality Datasets. Faults that impact the end product Faults that result in missing data points Faults that lead to incorrect or confusing data. Data Lost to Data Lost to

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1.05k views • 94 slides
Application Level Fault Tolerance and Detection

Application Level Fault Tolerance and Detection

Application Level Fault Tolerance and Detection. Principal Investigators: C. Mani Krishna Israel Koren Graduate Students: Diganta Eric Janhavi Osman Vijay. Architecture and Real-Time Systems (ARTS) Lab. Department of Electrical and Computer Engineering

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341 views • 32 slides
Chapter 5

Chapter 5

Chapter 5. Repetition and Loop Statements. Repetition in Programs. In most commercial software, you can repeat a process many times. When using an editor program, you can move the cursor to a program line and perform as many edit operations as you need to.

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365 views • 31 slides
Distribution Automation Survey

Distribution Automation Survey

Distribution Automation Survey. Presented at SWEDE Conference 2005 By Kevin Clark. Purpose of Survey. Get input from the member utilities of SWEDE: What are you doing and why? What are some of the pitfalls? What are the real world issues? What are your future plans?

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395 views • 24 slides
ACID

ACID

ACID. A transaction is atomic -- all or none property. If it executes partly, an invalid state is likely to result. A transaction, may change the DB from a consistent state to another consistent state. Otherwise it is rejected (aborted).

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342 views • 22 slides

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