Brain Meets Brawn: Why Grid and Agents Need Each Other

By Ian T Foster, Nicholas R. Jennings, Carl Kesselman. Towards the Learning Grid, 2004

485 citations recorded by the source corpus.

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 agents 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.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/a563c6e384da164039a187b140906307bb50d787

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Citations in the corpus

The Semantic Grid: Past, Present, and Future (2005, background): “the fruits of the research in this community (see [19] for a”
TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources (2006, background): “To meet the above requirements, we have developed TRAVOS, a trust and reputation model for agent-based VOs, as described in this paper, which is organised as follows.”