Resource selection is fundamental to the performance of master/slave applications. In this paper, we address the problem of promoting performance for distributed master/slave appl...
Recently, we presented two very low-cost approaches to compile-time list scheduling where the tasks’ priorities are computed statically or dynamically, respectively. For homogen...
In this work we present the results of a project aimed at assembling an hybrid massively parallel machine, the PQE1 prototype, devoted to the simulation of complex physical models...
Paolo Palazzari, Lidia Arcipiani, Massimo Celino, ...
Management of large-scale parallel and distributed applications is an extremely complex task due to factors such as centralized management architectures, lack of coordination and ...
A heuristic algorithm that maps data-processing tasks onto heterogeneous resources (i.e., processors and links of various capacities) is presented. The algorithm tries to achieve ...
In a serverless cluster of PCs or workstations, the cluster must allow remote file accesses or parallel I/O directly performed over disks distributed to all client nodes. We intro...
Computational Grids are becoming an increasingly important and powerful platform for the execution of largescale, resource-intensive applications. However, it remains a challenge ...
Dramatic increasesin availablewide-area bandwidth have driven event-basedmonitoring to new heights. Monitoring services are widely used in today's distributed laboratories, w...