Abstract Recent development in the small scale power generation using distributed energy resources combined with application of power electronic systems initiated the researchers to the concepts of future power generation technologies such as microgrid. The paper presented involves the control techniques required for microgrid operation and implementation of a simple control strategy in a micro...

In data grid environment, the management of shared data is one of the major scientific challenges. Data replication is one of the important techniques used in grid systems to increase the availability, scalability and fault tolerance. However, the update of a replica might bring a critical problem of replica consistency maintenance. Thus, maintaining the consistency of the replicas is not trivi...

data grids support access to widely distributed storage for large numbers of users accessing potentially many files. to enhance access time, replication at nearby sites may be used. data replication, a technique much investigated bydata grid researchers in past years creates multiple replicas offile and places them in conventional locations to shorten fileaccess times. one of the problems in da...

This paper is about optimizing Grid application setup by allowing a user to configure a Grid application on her own PC and thereafter migrating the entire application onto the Grid where the Grid system replicates the application including the operating system instance onto the assigned nodes within the Grid. We use this strategy to develop a new Minimal Configuration Grid model (MCG). Configur...

A new decision support system called Apollo, which runs the CERES-Maize crop growth model, was used to study the corn (Zea mays L.) yield response and the nitrogen (N) dynamics of a cornfield in central Iowa, USA. The model was calibrated to minimize error between simulated and measured yield over five growing seasons. Model simulations were then completed for 13 spring-applied N rates in each ...

Grid computing, which is characterized as large-scale distributed resources sharing and cooperation, is becoming a mainstream technology in distributed computing. In this paper, we present the idea of applying grid-computing technology to model and simulate large-scale and high-performance bioinspired fault tolerant and adaptable control system. Gridbased workflow management service is employed...

With increasing use and integration of renewable energies, power imbalance between supply and demand sides has become one of the most critical issues in developing smart grid. As the major power consumers at demand side, buildings can actually perform as distributed thermal storages to help relieving power imbalance of a grid. However, power demand alteration potentials of buildings and energy ...

This paper describes the program execution framework being developed by the Grid Application Development Software (GrADS) Project. The goal of this framework is to provide good resource allocation for Grid applications and to support adaptive reallocation if performance degrades because of changes in the availability of Grid resources. At the heart of this strategy is the notion of a configurab...

The interest of the scientific community in Beowulf clusters and Grid computing infrastructures is continuously increasing. The present work reports on a customization of Globus Software Toolkit 2 for a Grid infrastructure based on Beowulf clusters, aimed at analyzing and optimizing its performance. We illustrate the platform topology and the strategy we adopted to implement the various levels ...