Brain Meets Brawn: Why Grid and Agents Need Each Other

Authors:
Ian Foster;Nicholas R. Jennings;Carl Kesselman
Affiliations:
Argonne National Laboratory & University of Chicago, foster@mcs.anl.gov;Electronics & Comp. Science University of Southampton, nrj@ecs.soton.ac.uk;Information Sciences Institute University of Southern, Californiacarl@isi.edu
Venue:
Proceedings of the 2005 conference on Towards the Learning Grid: Advances in Human Learning Services
Year:
2005

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Abstract

The Grid and agent communities both develop concepts and mechanisms for open distributed systems, albeit from different perspectives. The Grid community has historically focused on “brawn”: infrastructure, tools, and applications for reliable and secure resource sharing within dynamic and geographically distributed virtual organizations. In contrast, the agent's community has focused on “brain”: autonomous problem solvers that can act flexibly in uncertain and dynamic environments. Yet as the scale and ambition of both Grid and agent deployments increase, we see a convergence of interests, with agent systems requiring robust infrastructure and Grid systems requiring autonomous, flexible behaviors. Motivated by this convergence of interests, we review the current state of the art in both areas, review the challenges that concern the two communities, and propose research and technology development activities that can allow for mutually supportive efforts.