Developing Data Grids has increasingly become a major concern to make Grids attractive for a wide range of data-intensive applications. Storage subsystems are most likely to be a ...
Many optimization techniques have been adopted for efficient job scheduling in grid computing, such as: genetic algorithms, simulated annealing and stochastic methods. Such techni...
Renato Porfirio Ishii, Rodrigo Fernandes de Mello,...
For data analysis or simulations (e.g. in particle physics) single users submit hundreds or thousands of jobs to the Grid. This puts a new burden on the users side - keeping an ov...
This paper describes the development and application of a piece of engineering software that provides a Problem Solving Environment (PSE) capable of launching, and interfacing wit...
C. E. Goodyer, Martin Berzins, Peter K. Jimack, L....
Abstract. In this paper, we analyze the problem of grid resource brokering in the presence of economic information about the price of resources. We examine in detail the main tasks...