Java Map Application

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Java Development 2.0: You can also hire ec2--to create efficient, scalable, leased infrastructure in a flexible and low-cost way

In this issue of Java Development 2.0, Andrew Glover describes how to develop and deploy for Amazon elastic Compute Cloud (EC2). Learn about the differences between EC2 and Google App Engine, and how to quickly build and run a simple EC2 with the Eclipse plug-in and the concise Groovy language ...

Monitoring Java applications: Adding method Profiling views to the deadlock detection application

Part 2nd of this series will take the deadlock detection application in part 1th and add a method to analyze the view to show where the application spends most of its CPU cycles. Tiyatien Center is a Java-ibm® monitoring and diagnostics tool that is a free low-cost diagnostic tool and API for monitoring applications running on the IBM Java virtual machine (JVM). See part 1th for details on the operations that this API can perform. ...

VMware and Salesforce will work together to build a new enterprise Java cloud

Global Cloud Infrastructure leader VMware (NYSE: VMW) and Enterprise Cloud Computing company Salesforce.com (NYSE trading Code: CRM) recently announced the joint delivery, sale and support of a new enterprise Java cloud--vmforce,     The technology, expertise and community of two leading cloud computing companies are integrated to promote the transformation of the information technology industry construction model. VMware announces 4 ....

Java Development 2.0: Implementing REST through CouchDB and Groovy restclient

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 ...

Hadoop Map/reduce Tutorial

Objective This tutorial provides a comprehensive overview of all aspects of the Hadoop map/reduce framework from a user perspective. Prerequisites First make sure that Hadoop is installed, configured, and running correctly. See more information: Hadoop QuickStart for first-time users. Hadoop clusters are built on large-scale distributed clusters. Overview Hadoop Map/reduce is a simple software framework, based on which applications can be run on a large cluster of thousands of commercial machines, and with a reliable fault-tolerant ...

Hadoop Map-reduce Tutorial

Objective This tutorial provides a comprehensive overview of all aspects of the Hadoop map-reduce framework from a user perspective. Prerequisites First make sure that Hadoop is installed, configured, and running correctly. See more information: Hadoop QuickStart for first-time users. Hadoop clusters are built on large-scale distributed clusters. Overview Hadoop Map-reduce is a simple software framework, based on which applications are written to run on large clusters of thousands of commercial machines, and with a reliable fault tolerance ...

Java MapReduce

Knowing how the MapReduce program works, the next step is to implement it through code. We need three things: a map function, a reduce function, and some code to run the job. The map function is represented by the Mapper interface implementation, which declares a map () method.   Example 2-3 shows our map function implementation. Example 2-3. Find the highest temperature of the mapper import java.io.IOException; &http ...

Sweep 13 Open source Java Large data tools, from theory to practice analysis

Big data has almost become the latest trend in all business areas, but what is the big data? It's a gimmick, a bubble, or it's as important as rumors. In fact, large data is a very simple term--as it says, a very large dataset. So what are the most? The real answer is "as big as you think"! So why do you have such a large dataset? Because today's data is ubiquitous and has huge rewards: RFID sensors that collect communications data, sensors to collect weather information, and g ...

Writing grid applications on the IBM Platform Symphony platform in the Java language

Grid computing can organize a large number of decentralized computers into a "virtual http://www.aliyun.com/zixun/aggregation/13840.html" > supercomputer, which should be one of the major technical tools for large data and high performance computing challenges. This article mainly introduces the method of writing grid applications on the IBM Platform Symphony platform in the Java language. Background The grid computing is distributed computing (Distribut ...).

How do I access open source cloud storage with the Java platform?

While the term cloud computing is not new (Amazon started providing its cloud services in 2006), it has been a real buzzword since 2008, when cloud services from Google and Amazon gained public attention. Google's app engine enables users to build and host Web applications on Google's infrastructure. Together with S3,amazonweb services also includes elastic Cloud Compute (EC2) calculation ...

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