Scalable data management modeling and framework for grid computing

There is an increasing demand to execute(1) complex large-scale grid computing systems and to share dispersed data assets and computing resources collaboratively. To perform grid computing within reasonable communication and computation resources, this paper introduces a scalable data management approach and its framework. This paper presents a design and development of the framework which performs the scalable data management approach. For development of this framework, this paper uses a hierarchical and modular object-oriented technology supported by a system modeling theory and specification. The framework provides a superior solution to reduce data traffic loads and local computation demands with a practical application.