MagCat: an agent-based metadata service for data grids

Abstract

Facing the increasing demand for data sharing in distributed environments, computer grids became an attractive technology to manage extended data sets, providing efficient access, publishing, and data discovery. In this paper we present the structure and implementation of MagCat multi-agent system, that provides a service for publishing and discovery data in grids through metadata. This service is being developed in context of MAG, a grid middleware that explores the mobile agent paradigm as a way to overcome the design and implementation challenges of constructing a grid middleware.

Multi-Agent Based Dynamic E-Learning Environment

“…Various types of e-learning platforms and tools have been introduced in many different education institutions and private training centres. Many technologies include web services (Rodriguez, Anido-Rifon, & Iglesias, 2003), grid computing and data grid technology (Yang & Ho, 2005) and agent technology (Sousa, Silva, Teixeira, & Filho, 2006) have been integrated into e-learning environments to enhance the architecture.…”

“…MagCat extends MAG to handle applications that manipulates huge amount of data. Although the multi-agent system MagCat has its search agent (known as SearchAgent) which is responsible for performing queries in distributed metadata repositories, this agent does not analyse the result of its search (Sousa et al, 2006).…”