Large scale distributed systems such as Grids are difficult to study from theoretical models
and simulators only. Most Grids deployed at large scale are production platforms that are …

The computational grid provides a promising platform for the efficient execution of parameter
sweep applications over very large parameter spaces. Scheduling such applications is …

Advances in hardware and software technologies have made it possible to deploy parallel
applications over increasingly large sets of distributed resources. Consequently, the study of …

Ensembles of distributed, heterogeneous resources, also known as computational grids,
have emerged as critical platforms for high-performance and resource-intensive …

Since the advent of distributed computer systems an active field of research has been the
investigation of scheduling strategies for parallel applications. The common approach is to …

In many areas of science and engineering, we have a class (“population”) of objects, and we
are interested in the values of one or several quantities characterizing objects from this …

Large scale distributed systems like Grids are difficult to study only from theoretical models
and simulators. Most Grids deployed at large scale are production platforms that are …

The complexity and dynamic nature of the Internet (and the emerging Computational Grid)
demand that middleware and applications adapt to the changes in configuration and …

In recent years, extensive research has been conducted in the area of simulation to model
large complex systems and understand their behavior, especially in parallel and distributed …

As large scale computation systems are growing to exascale, Resources and Jobs
Management Systems (RJMS) need to evolve to manage this scale modification. However …