MapReduce is a programming model and an associated implementation for processing and generating large datasets that is flexible to a broad variety of real-world tasks. Users specify the computation in terms of a map and a reduce function, and the underlying runtime system automatically parallelizes...
3. Programming Model MapReduce执行的计算以一组键值对作为输入，然后产生另一组键值对作为输出。执行的...
Big dataDistributed programmingClinical data analysisMapReduceBioinformaticsClinical big data analysisComputer Science(GeneralThe emergence of massive datasets in a clinical setting presents both challenges and opportunities in data storage and analysis. This so called ???big data??? challenges traditional ...
mapreduce is a programming model and an associated implementation for processing and generating large data sets with a parallel, distributed algorithm on a cluster. it simplifies the process of distributing tasks to different nodes, splitting them into smaller chunks, and processing them in parallel....
aprogramming modeland an associated implementation forprocessing and generating large data sets一个编程模型,主要用于处理大数据 Users specify amapfunctionthat processes a key/value pair to generate a set ofintermediate key/value pairs, and areducefunctionthatmerges all intermediate values associated with th...
[1] SAMARATI P,SWEENEY L.Generalizing data to provide anonymity when disclosing information(abstract)[C].Proc.of the 17th ACM-S1GMOD-SIGACT-SIGART Symp on the Principles of Database Systems.Piscataway,NJ:IEEE,1998:188-188. [2] SWEENEY L.K-anonymity:a model for protecting privacy[J].Interna...
CenChen, ...KeqinLi, inBig Data Analytics for Sensor-Network Collected Intelligence, 2017 3.4.1MapReduce and Hadoop MapReduceis a programming model, which is usually used for the parallel computation of large-scale data sets [48] mainly due to itssalient featuresthat include scalability, fault...
MapReduce is a programming model or pattern within the Hadoop framework that is used to access big data stored in the Hadoop File System (HDFS). The map function takes input, pairs, processes, and produces another set of intermediate pairs as output.
We present a real big data analysis system to demonstrate the feasibility of the PN model, to describe the internal procedure of the MapReduce framework in detail, to list common errors and to propose an error prevention mechanism using the PN models in order to increase its efficiency in the...
The MapReduce programming model has been widely used in big data and cloud applications. Criticism on its inflexibility when being applied to complicated scientific applications recently emerges. Several techniques have been proposed to enhance its flexibility. However, some of them exert special requirem...