System Programming Concepts

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"Graphics" distributed parallel programming with Hadoop (i)

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.

Distributed parallel programming with Hadoop, part 1th

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 ...

Distributed parallel programming with Hadoop, part 3rd

Foreword in the first article of this series: using Hadoop for distributed parallel programming, part 1th: Basic concepts and installation deployment, introduced the MapReduce computing model, Distributed File System HDFS, distributed parallel Computing and other basic principles, and detailed how to install Hadoop, How to run a parallel program based on Hadoop in a stand-alone and pseudo distributed environment (with multiple process simulations on a single machine). In the second article of this series: using Hadoop for distributed parallel programming, ...

Use cloud concepts with caution

This article originally envisioned a discussion of the current situation with SSD (solid-state drive) and disk array controller architecture--Some vendors may already have the preparation to let existing arrays handle more SSD. However, in the process of data acquisition of this subject, I heard many information about the company's cloud actions, and a growing number of manufacturers announced the beginning of cloud computing, and in their own IT products to increase the "cloud" function. So I temporarily decided not to talk about SSDs. For marketing means, this time the manufacturers are so broad ...

"Graphics" distributed parallel programming with Hadoop (ii)

program example and Analysis Hadoop is an open source distributed parallel programming framework that realizes the MapReduce computing model, with the help of Hadoop, programmers can easily write a distributed parallel program, run it on a computer cluster, and complete the computation of massive data. In this article, we detail how to write a program based on Hadoop for a specific parallel computing task, and how to compile and run the Hadoop program in the ECLIPSE environment using IBM MapReduce Tools. Preface ...

Basic concepts of cloud computing

1. Cloud computing Hardware cloud software: OpenStack (CLOUD keyboard-based System), a collaborative project launched by Rackspace and NASA. Cloud Hardware: Open Computing Project (Ocp:open Compute project) 2.   Why is cloud computing born? The cloud computing model is the centralized power supply model for power plants. In the cloud computing mode, the user's computer will become very simple, perhaps small memory, do not need hard ...

Enterprise-oriented cloud computing, part 1th: Understanding some basic concepts of cloud

Looking back on our recent history of technology development, it is clear that since distributed computing and its related technologies (such as grid computing and SOA) have been widely adopted, the cloud computing movement has emerged. Although cloud computing has become a new technology, there are many questions about this new technology. The 1th installment of this series will outline cloud computing, then analyze the various layers of the cloud, introduce different cloud types and their pros and cons, and explain why cloud computing campaigns are for enterprise development ...

Distributed parallel programming with Hadoop, part 2nd

Foreword in an article: "Using Hadoop for distributed parallel programming the first part of the basic concept and installation Deployment", introduced the MapReduce computing model, Distributed File System HDFS, distributed parallel Computing and other basic principles, and detailed how to install Hadoop, how to run based on A parallel program for Hadoop. In this article, we will describe how to write parallel programs based on Hadoop and how to use the Hadoop ecli developed by IBM for a specific computing task.

Ali cloud ODPS vision, technology and difficulties

In January 2014, Aliyun opened up its ODPS service to open beta. In April 2014, all contestants of the Alibaba big data contest will commission and test the algorithm on the ODPS platform. In the same month, ODPS will also open more advanced functions into the open beta. InfoQ Chinese Station recently conducted an interview with Xu Changliang, the technical leader of the ODPS platform, and exchanged such topics as the vision, technology implementation and implementation difficulties of ODPS. InfoQ: Let's talk about the current situation of ODPS. What can this product do? Xu Changliang: ODPS is officially in 2011 ...

MapReduce the basic concepts and origin

1. What is MapReduce MapReduce is a computational model, framework and platform for big data parallel processing. It implies the following three meanings: 1) MapReduce is a cluster-based high-performance parallel computing platform (Cluster Infrastructure). It allows for the deployment of a distributed and parallel computing cluster of tens, hundreds to thousands of nodes with commercially available commercial servers. 2) MapReduce is a parallel computing and running software framework (Software ...

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