Robert Griesemer
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Paxos Made Live - An Engineering Perspective (2006 Invited Talk)
Joshua Redstone
Proceedings of the 26th Annual ACM Symposium on Principles of Distributed Computing, ACM press (2007)
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We describe our experience in building a fault-tolerant data-base using
the Paxos consensus algorithm. Despite the existing literature in
the field, building such a database proved to be non-trivial. We
describe selected algorithmic and engineering problems encountered,
and the solutions we found for them. Our measurements indicate that
we have built a competitive system.
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Interpreting the Data: Parallel Analysis with Sawzall
Rob Pike
Scientific Programming Journal, 13 (2005), pp. 277-298
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Very large data sets often have a flat but regular structure and span multiple disks and machines. Examples include telephone call records, network logs, and web document repositories. These large data sets are not amenable to study using traditional database techniques, if only because they can be too large to fit in a single relational database. On the other hand, many of the analyses done on them can be expressed using simple, easily distributed computations: filtering, aggregation, extraction of statistics, and so on.
We present a system for automating such analyses. A filtering phase, in which a query is expressed using a new programming language, emits data to an aggregation phase. Both phases are distributed over hundreds or even thousands of computers. The results are then collated and saved to a file. The design -- including the separation into two phases, the form of the programming language, and the properties of the aggregators -- exploits the parallelism inherent in having data and computation distributed across many machines.
Animation: The paper references this movie showing how the distribution of requests to google.com around the world changed through the day on August 14, 2003.
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