Effective and efficient mapping algorithms for multisite parallel applications are fundamental to exploit the potentials of grid computing. Since the problem of optimally mapping i...
Ivanoe De Falco, Antonio Della Cioppa, Umberto Sca...
Grid computing is a research and development topic, currently getting much attention. As a result, new ideas as well as research and project results are being produced at a very h...
Cloud computing uses virtualization technologies to offer a non-shared use rental of computer resources with publicly accessible worker nodes. However, unlike Grid computing, Cloud...
Matthias Schmidt, Niels Fallenbeck, Matthew Smith,...
Recently, grid computing has become a popular technology for large-scale scientific or business computing. Grid workflow system can enhance the flexibility and efficiency of the g...
In recent years the power of Grid computing has grown exponentially through the development of advanced middleware systems. While usage has increased, the penetration of Grid compu...
Gregor von Laszewski, Andrew J. Younge, Xi He, Kum...
—Despite the wide adoption by the scientific community, grid technologies have not been given the appropriate attention by enterprises. This is merely due to the lack of enough s...
Grid computing system is different from conventional distributed computing systems by its focus on large-scale resource sharing, where processors and communication have significan...
Grid computing relies on fragile partnerships. Clients with hundreds or even thousands of pending service requests must seek out and form temporary alliances with remote servers e...
The BMI Eigenvalue Problem is one of optimization problems and is to minimize the greatest eigenvalue of a bilinear matrix function. This paper proposes a parallel algorithm to co...
Grid computing systems that have been the focus of much research activities in recent years provide a virtual framework for controlled sharing of resources across institutional bo...