Simulation studies of Grid scheduling strategies require representative workloads to produce dependable results. Real production Grid workloads have shown diverse correlation stru...
Scientific workflows have recently emerged as a new paradigm for representing and managing complex distributed scientific computations and data analysis, and have enabled and acce...
Effective scheduling is a key concern for the execution of performance driven Grid applications. In this paper, we propose a Dynamic Critical Path (DCP) based workflow scheduling ...
— SAGA is a high-level programming abstraction, which significantly facilitates the development and deployment of Grid-aware applications. The primary aim of this paper is to di...
Grid-based computing frameworks leverage underutilized processing and storage resources. We present and evaluate a new high-performance, reliable middleware layer that can incorpo...
Eric Frizziero, Z. Har'El, Francesco Lelli, B. Man...