Grid is a computational environment in which applications can use multiple distributed computational resources in a safe, coordinated, efficient and transparent way. Data Integra...
A computer-aided diagnostic (CAD) method of calculating lumen and wall thickness of carotid vessels is presented. The CAD is able to measure the geometry of the lumen and plaque s...
Marco Antonio Gutierrez, Silvia Helena Gelas Lage,...
We describe a hybrid linear programming (LP) and evolutionary algorithm (EA) based resource matcher suitable for heterogeneous grid environments. The hybrid matcher adopts the ite...
In this paper, we present a node mobility prediction framework based on a generic mobile grid architecture. We show how this framework can be used to formulate a cost effective job...
Database storage management in clustered storage environments is a manual, time-consuming, and error-prone task. Such management involves regular movement of database objects acro...
Computational grids are solutions for several biological applications like virtual screening or molecular dynamics where large amounts of computing power and storage are required....
Vinod Kasam, Jean Salzemann, Nicolas Jacq, Astrid ...
One of the advantages in virtualized computing clusters compared to traditional shared HPC environments is their ability to accommodate user-specific system customization. Howeve...
Malleability enables a parallel application’s execution system to split or merge processes modifying granularity. While process migration is widely used to adapt applications to...
Kaoutar El Maghraoui, Travis J. Desell, Boleslaw K...
Typical computational grid users target only a single cluster and have to estimate the runtime of their jobs. Job schedulers prefer short-running jobs to maintain a high system ut...
Michael Klemm, Matthias Bezold, Stefan Gabriel, Ro...
Abstract— Scientific computing is being increasingly deployed over volunteer-based distributed computing environments consisting of idle resources on donated user machines. A fu...