Lammel, R.: Google’s MapReduce programming model — Revisted. Science of Computer Programming 70, 1–30 (2007) MathSciNetL¨ammel R (2007) Google's MapReduce programming model - Revisited. Science of Computer Programming 68(3):208-237, Elsevier...
Google's MapReduce programming modelserves for processing large data setsin a massively parallel manner. Wedeliver the first rigorous description of the modelincluding its advancementas Google's domain-specific languageSawzall. To this end, wereverse-engineer the seminal papers on MapReduce and Sawzall...
使用 MapReduce 模型,再结合用户实现的 Map 和 Reduce 函数,我们就可以非常容易的 实现大规模并行化计算; 通过 MapReduce 模型自带的“再次执行”(re-execution)功能, 也提供了初级的容灾实现方案。 这个工作(实现一个 MapReduce 框架模型)的主要贡献是通过简单的接口来实现自动的并行化和大规模的分布式计算, 通过...
2004: MapReduce: Simplified Data Processing on Large Clusters mostly replaced by Cloud Dataflow? 2007: What Every Programmer Should Know About Memory (very long, and the author encourages skipping of some sections) 2012: Google's Colossus paper not available 2012: AddressSanitizer: A Fast Addres...
2004: MapReduce: Simplified Data Processing on Large Clusters mostly replaced by Cloud Dataflow? 2006: Bigtable: A Distributed Storage System for Structured Data 2006: The Chubby Lock Service for Loosely-Coupled Distributed Systems 2007: Dynamo: Amazon’s Highly Available Key-value Store The Dyna...
Hadoop MapReduce:It is another framework that processes the data. The original Hadoop processing engine which primarily based on JAVA. Based on the Map and Reduce programming model. Many tools such as Hive, Pig build on Map Reduce Model. It is broad & mature faul...
As part of the workshop, we showed how to solve several fundamental graph problems faster, both in theory and practice, by augmenting standard synchronous computation frameworks like MapReduce with a distributed hash-table similar to a BigTable. Our extensive empirical study validates the practical ...
This MOOC is called “Introduction to Data Science” but the first of its two major units is devoted to databases. This includes an introduction to MapReduce, and Hadoop, as well as an SQL programming assignment. The course is comprised of the same materials as “Introduction to Databases” ...
reduce the overall amount of data that is transferred over a network. In some implementations, the client device uses quantization techniques to map speech features to more compact representations. For example, vector quantization can be used to map speech feature vectors to lower dimensional vectors...
Dean, J., et al., “MapReduce: Simplified Data Processing on Large Clusters,” OSDI, 2004, pp. 1-13. Dong, X., et al., “Reference Reconciliation in Complex Information Spaces,” SIGACM-SIGMOD, 2005, 12 pages. Downey, D., et al., “Learning Text Patterns for Web Information Ex...