Java’s platform-independent “bytecode” can be executed securely on many platforms, making the language an attractive basis for portable Grid computing. In addition, Java’s performance on sequential ...

Corey Klaasmeyer defines grid computing and contrasts it with cluster computing. This article also leads the reader through a simple Globus Toolkit 4 grid service implementation.

Here, we provide evidence of Java’s usefulness for parallel computing by describing efficient implementation techniques, showing the combination of powerful compilers and efficient runtime systems ...

Distributed software component architectures provide promising approach to the problem of building large scale, scientific Grid applications [18]. Communication in these component architectures is ...

The use of Java for parallel programming on clusters relies on the need of efficient communication middleware and high-speed cluster interconnect support. Nevertheless, currently there are no ...

Generally, RMI is easier to use than CORBA for simple and straightforward Java applications, as it requires less code, less configuration, and less overhead than CORBA.