Iterative Grid-Based Computing Using Mobile Agents

We describe an environment for the distributed solution of iterative grid-based applications. The environment is built using the MESSENGERS mobile agent system. The main advantage of paradigm-oriented distributed computing is that the user only needs to specify applicationspecific sequential code, while the underlying infrastructure takes care of the parallelization and distribution. The two paradigms discussed in this papers are the finite difference method, and individual-based simulation. These paradigms present some interesting challenges, both in terms of performance (because they require frequent synchronized communication between nodes) and in terms of repeatability (because the mapping of the user space onto the network may change due to load balancing or due to changes in the underlying logical network). We describe their use, implementation, and performance within a mobile agent-based environment.