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Because of the needs of the project, learning to use Hadoop, as with all the overheated technology, "big Data", "mass" such words on the internet over the sky flying. Hadoop is a very good distributed programming framework that is exquisitely designed and does not currently have the same level of weight as a substitute. It also touches on an internally used framework that encapsulates and customizes Hadoop, making it more responsive to business requirements. I also recently wanted to write some of the learning and use of Hadoop experience, but see the internet so flooded articles, I think to write a little note the same thing is really not ...

Due to the requirements of the project, it is necessary to submit yarn MapReduce computing tasks through Java programs. 　　Unlike the general task of submitting MapReduce through jar packages, a small change is required to submit mapreduce tasks through the program, as detailed in the following code. 　　The following is MapReduce main program, there are a few points to mention: 1, in the program, I read the file into the format set to Wholefileinputformat, that is, not to the file segmentation. 2, in order to control the treatment of reduce ...

With the wide application of server virtualization, cloud computing technology has become the next direction of utility computing, in the era of cloud computing, we can consume computing resources like power resources and pay on demand. Cloud storage applications are derived from Amazon's S3 services (simple Storage service) and are quickly emulated by other service operators. However, poor performance and concerns about security are always shrouded in cloud storage, which has eclipsed many of its benefits and hindered the technology's entry into the mainstream ...

The core concept of the cascading API is piping and streaming. A pipeline is a series of processing steps (parsing, looping, filtering, and so on) that define the data processing to be performed, and the flow is the union of pipelines with data sources and data receivers (Data-sink). Cascading is a new data processing API for Hadoop clusters that uses expressive APIs to build complex processing workflows, and ...

Microsoft's famous C + + master Herb Sutter wrote a heavyweight article in early 2005: "The free lunch is over:a fundamental Turn toward concurrency in Software",      Another major change in software development after OO is predicted-parallel computing. ...

Stephen Smoot, one of the authors of Private cloud computing: Consolidation, virtualization, and service-oriented infrastructure, has communicated with him about implementing private cloud computing on the WAN, and asked Smoot: How to look at the relationship between private cloud computing and public cloud computing, How to improve the WAN to better support private cloud computing and so on. 　　These questions and answers are presented in the q&a of this article. What is your definition of private cloud computing, and how do you see the difference between it and public cloud computing ...

August 22, the sixth session of the Chinagrid 2011 Academic Conference in Dalian successfully held.     At this conference, Zol reporter had the honor to see Professor Cheng of Tsinghua University, from which to understand the chinagrid from early development to the present some basic situation. Looking back over the past few years to chinagrid a period of work, Professor Cheng to Zol reporters that can be summed up in three aspects: &nb ...

September 1, 2011, the leading provider of the architecture based data center network solution, Boko (NASDAQ: BRCD) announced today that with the new Boko Virtual Computing module, the brocade®cloudplex™ architecture has made significant strides. These bundled solutions include integrated, tested, and validated multi-vendor servers, virtualization, networking, and storage resources. New solutions that embody the close collaboration of our partners are officially available today and are available with Dell, EMC, Fuji ...

Hadoop is a Java implementation of Google MapReduce. MapReduce is a simplified distributed programming model that allows programs to be distributed automatically to a large cluster of ordinary machines. Just as Java programmers can do without memory leaks, MapReduce's run-time system solves the distribution details of input data, executes scheduling across machine clusters, handles machine failures, and manages communication requests between machines. This ...

For enterprise users, how to implement the hybrid management of traditional infrastructure and "cloud" infrastructure is a problem that must be faced. 　　At present, the cloud management market brings together the heroes of the road, including large it vendors, but also has a very innovative ability of emerging companies. As cloud computing in the enterprise environment gradually landing, vendors for cloud management products and solutions are emerging. The global Cloud management software market will reach $2.5 billion trillion by 2015, according to IDC research. Today, the market for cloud management software and solutions ...

The so-called "cloud" refers to the completion of a computing task of the server network, which can automatically expand and shrink according to the real-time requirements of the task, flexible, so as to maximize the savings in computing resources (including energy) and improve the security and reliability of the system. To be exact, the servers here are mostly virtual servers (virtual machines). To tell the truth, the Cloud (mechanism) is very complex, the average person is difficult to deal with.     What do we do? Today, entrepreneurs (or CIOs) value cloud computing. But...

Through analysis and observation, we found that the current cloud computing is mostly personal computing business model, for enterprise computing we can see is the data center (ie IAAS/IDC), which is based on IT resources a business model. But in essence, enterprise informatization needs to solve the problem of application complexity, a cloud computing model based on application-driven. 　　Before we show that cloud computing is not enough to meet the needs of enterprise Informatization, let's take a look at how the Saas/paas/iaas we preach has eclipsed it. ...

Recently, people are thinking about how to use Java to implement cloud computing, and I see two trends. They overlap rather than repel each other, but in general they have a very different performance on the project: the UI-oriented (Heavy UI oriented) application or framework typically provides a UI-based console, admin-useful, plug-in, etc.

Companies such as IBM®, Google, VMWare and Amazon have started offering cloud computing products and strategies. This article explains how to build a MapReduce framework using Apache Hadoop to build a Hadoop cluster and how to create a sample MapReduce application that runs on Hadoop. Also discusses how to set time/disk-consuming ...

This article is the 3rd and final part of a series of articles on building mixed cloud applications, examining governance and security for cloud computing. This article expands the Hybridcloud application for part 2nd by examining how to add access control policies to the Amazon simple Queue Service (SQS). Learn more about how Hybridcloud applications authenticate themselves to cloud services ...

Explore cloud computing and the various cloud platforms offered by key vendors such as Amazon, Google, Microsoft® and Salesforce.com. In part 1th of this three-part series, we'll give you a typical example of an enterprise application that uses a JMS queue, and look at what will be involved in using a part of this JMS infrastructure in the cloud. ...

In the past few years, the innovative development of the open source world has elevated the productivity of Java™ developers to one level. Free tools, frameworks and solutions make up for once-scarce vacancies. The Apache CouchDB, which some people think is a WEB 2.0 database, is very promising. It's not difficult to master CouchDB, it's as simple as using a Web browser. This issue of Java open ...

Download: Temp_13020600067827.pdfcproc Cloud processing platform Product advantage Real time: the platform in the high efficiency parallel distributed software support, can complete the data computation and the analysis work in real time, such as the data computation, the data inquiry, and the statistical analysis and so on.   Data calculation does not appear data accumulation phenomenon, all kinds of analysis and query work are basically completed in the second level, with unprecedented efficiency. High reliability: Based on the deep research and accumulation of cloud computing reliability, it solves the current distributed meter completely.

Highly scalable sparse matrix multiplication Wuzhiguang Mao Chen Han Lei lijun matrix multiplication is a very important basic operation in linear algebra and graph algorithm, while the matrices in large-scale data processing are often sparse matrices. The MapReduce programming framework can effectively support the distributed computing of massive data. Therefore, how to use MapReduce programming framework to realize the multiplication of super large sparse matrix is studied. The traditional matrix multiplication parallel algorithm does not specifically optimize the sparse matrix, resulting in a large number of unnecessary communication overhead during the calculation.

Recently, the 2013-year Human Resources exhibition, hosted by the world's leading human resources website Hroot, once again felt this powerful cloud of human resources management. One of the most profound impression of the author is that China's most professional human resources outsourcing service providers, domestic human resources management industry leader-Yi Group's founder, chairman and President Li proposed the "Internet integration of professional technology" this concept, And the strong introduction of the industry's first pay cloud-easy to pay and itas, such as comprehensive coverage of recruitment, pay management to performance management and other ...