Distributed Processing Framework

In Google data centers there are large numbers of data to be processed, such as a lot of Web pages crawled by web crawlers (WebCrawler). 　　 　　Since many of these data are PB levels, the process has to be as parallel as possible, and Google has introduced the MapReduce distributed processing framework to address this problem. The technology overview MapReduce itself originates from functional languages, mainly through "map" and "Reduce" ...

Multithreading is the problem that programmers often face in the interview, the level of mastery and understanding of multithreading concept is often used to measure a person's programming strength. Yes, ordinary multithreading is not easy, then when multithreading encounter "elephants" will produce what kind of sparks? 　　Here we share the Java thread Pool management and distributed Hadoop scheduling framework with 严澜, the Shanghai Creative Technology director. Usually the development of the thread is a thing, such as Tomcat in the servlet is the threads, no thread how we provide more ...

Usually the development of the thread is a thing, such as Tomcat is a servlet in the threads, there is no thread how do we provide multi-user access? But many developers who have just started to touch threads have suffered a lot. 　　How to do a set of simple threading Development Mode framework for everyone from the single thread development into multithreaded development, this is really a relatively difficult project. What is the specific thread? First look at what the process is, the process is a system executed a program, this program can use memory, processor, file system and other related resources ...

In the SIP project design process, for its large log in the early consideration of the use of task decomposition of multithreading mode to analyze statistics, in the previous blog mentioned that part of the design, but because the content of the statistics is still very simple, Therefore, the use of memcache as a counter combined with MySQL completed http://www.aliyun.com/zixun/aggregation/38609.html "> Access control and statistical work." But the future, for the massive day ...

Hadoop is an open source distributed parallel programming framework that realizes the MapReduce computing model, with the help of Hadoop, programmers can easily write distributed parallel program, run it on computer cluster, and complete the computation of massive data. This paper will introduce the basic concepts of MapReduce computing model, distributed parallel computing, and the installation and deployment of Hadoop and its basic operation methods. Introduction to Hadoop Hadoop is an open-source, distributed, parallel programming framework that can be run on a large scale cluster by ...

Hadoop is an open source distributed parallel programming framework that realizes the MapReduce computing model, with the help of Hadoop, programmers can easily write distributed parallel program, run it on computer cluster, and complete the computation of massive data. This paper will introduce the basic concepts of MapReduce computing model, distributed parallel computing, and the installation and deployment of Hadoop and its basic operation methods. Introduction to Hadoop Hadoop is an open-source, distributed, parallel programming framework that can run on large clusters.

Design and implementation of distributed computing framework for mass remote sensing images Cheng Miaofang Yang Wenhui Chen Ken in view of the processing and computation of the massive remote sensing image, based on the MapReduce calculation model, a distributed computing framework SPC (Split Process) suitable for mass remote sensing images is designed and implemented. Cluster). The SPC framework can segment the remote sensing image data, and then the distributed processing through Hadoop, finally, the clustering algorithm is adopted to merge the results, so as to realize the distributed processing of mass remote sensing images. Test knot ...

Research on distributed processing of network monitoring information flow based on Hadoop Chen Guoliang A new method of distributed cluster processing based on Hadoop cloud computing framework is proposed for the monitoring of information flow of large data sets in intelligent power grid dispatching system. By analyzing the characteristics of information flow in power grid monitoring system, extracting 3 kinds of critical information flow, using the Distributed File system HDFs and Mapping aggregation model Map/reduce, establishing the distributed processing platform of Cluster group, and realizing the high efficient parallel processing of the monitoring data. Taking the data set of section measurement record of a distribution network as an example.

JPPF is a shorthand for the Java Parallel 處理 Framework, a Java Parallel processing framework that runs on computers requiring large processing requirements to drastically reduce processing time. The framework is split into smaller pieces by an application that can execute the sequence simultaneously on different machines. It is an open source grid computing framework that can run multiple Java applications simultaneously in a distributed execution environment. JPPF 3.0 This version brings with it the use, stability, reliability, and flexibility ...

Translation: Esri Lucas The first paper on the Spark framework published by Matei, from the University of California, AMP Lab, is limited to my English proficiency, so there must be a lot of mistakes in translation, please find the wrong direct contact with me, thanks. (in parentheses, the italic part is my own interpretation) Summary: MapReduce and its various variants, conducted on a commercial cluster on a large scale ...