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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 ...

There seems to be a plot in a thriller that says, "It's easy ... It's so easy. "And then all things began to fall apart. When I started testing the top-tier Java cloud Computing in the market, I found that the episode was repeating itself. Enterprise developers need to be more concerned about these possibilities than others. Ordinary computer users get excited when there are new scenarios in cloud computing that make life easier. They will use cloud-based emails and if the emails are lost they can only shrug their shoulders because the electrons ...

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 ...

Created by Sun in 2000, NetBeans is home to the open source movement as well as to developers and customer communities, designed to build world-class Java Ides. NetBeans can currently be developed on Solaris, Windows, Linux, and Macintosh OS x platforms and used within the SPL (Sun Public License) framework. NetBeans is a full-featured open source Java IDE that helps developers write, compile, debug, and deploy Java applications and ...

FFMQ is a lightweight and fast implementation of native Java JMS 1.1. The main features are the availability of raw performance and reliability, ease of configuration, and reduced dependencies. FFMQ features include:-compliant JMS 1.1-Lightweight (full server below 600KB)-Reduced dependencies: JRE 1.4+,JMS api,commons-logging (optional: log4j, MX4J)-Support for JMX monitoring-support for SSL remote connections-fast network protocol based on TCP-supports asynchronous log persistence ...

Jooq is a class library that efficiently merges SQL and Java, supports complex SQL statements, and includes type safety, source code generation, activity logging, stored procedures, and advanced http://www.aliyun.com/zixun/aggregation/18278.html > Data types. Jooq 2.2.0 This version adds support for another database, Cubrid is an amazing raw mixture of relationships and object-oriented databases. Software information: H ...

Jooq is a class library that efficiently merges SQL and Java, supports complex SQL statements, and includes type safety, source code generation, activity logging, stored procedures, and advanced http://www.aliyun.com/zixun/aggregation/18278.html > Data types. Jooq 2.2.1 This release fixes some small patches about Cubrid consolidated code generation and recommends that users upgrade. Software Information: Http://www.joo ...

Jactor is an implementation of a LGPL high-performance Java actor role, providing a more rational alternative to threading and locking programming. You can send 1 billion messages per second or execute http://www.aliyun.com/zixun/aggregation/37392.html ">8000 million publications to i5 users, which is the fastest actor role implementation tool in any language." Jactor 3.0.2 This version fixes a jafactory ...

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.

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 ...