Grid computing is increasingly emerging as a promising platform for large-scale problems
solving in science, engineering and technology. Nevertheless, a major effort is still required …

Fuzzy association rule mining is a popular method to discover hidden patterns and
associations in quantitative data. With fuzzy logic, fuzzy association rule mining is easier for …

One of the most challenging problems when facing the implementation of computational
grids is the system resources effective management commonly referred as to grid …

Grid computing is a loosely couple distributed system, and it can solve complex problem
with large-scale computing and storage resources. Middleware plays important role to …

In this paper, we address the problem of finding well-performing workload exchange policies
for decentralized Computational Grids using an Evolutionary Fuzzy System. To this end, we …

In the last few years, the Grid community has been growing very rapidly and many new
components have been proposed. In this sense, the scheduler represents a very relevant …

Grids emerged in the last decade as large distributed environments where the greatest
challenges of the scientific community could be faced. These challenges, commonly known …

Since Grid is a distributed and heterogeneous environment, scheduling and resource
management are important in Grid. One of the fundamental problems in Grid is designing a …

In this paper, the grid computing system is seemed as an ecosystem. The object of the
optimization resource management is to promote the balance and evolution of the …

Grid technologies are established to share the large-scale heterogeneous resources over
multiple administrative domains for processing the application. In these technologies, the …