Meta-learning system for KDD is an open and evolving platform for efficient testing and intelligent recommendation of data mining process. Metalearning is adopted to automate the s...
Heterogeneous distributed environments or grid environments provide large computing resources for the execution of large scientific applications. The effective use of those plat...
This paper attempts to reduce the overheads of dynamically creating and destroying the virtual environments for secure job execution. It broaches a grid architecture which we call...
Legacy program execution system, which is necessary for Grid to enable users to reuse all legacy programs without reengineering source codes, is still an open problem. We propose ...
This article shows how the idea of continuous software testing [23] of a world wide working group can be well integrated into the Grid Computing paradigm using the Globus Toolkit ...