Document Type


Publication Date



Large-scale systems are part of a growing trend in distributed computing, and coordinating control of them is an increasing challenge. This paper presents a cooperative agent system that scales to one million or more nodes in which agents form coalitions to complete global task objectives. This approach uses the large-scale Command and Control (C2) capabilities of the Resource Clustered Chord (RC-Chord) Hierarchical Peer-to-Peer (HP2P) design. Tasks are submitted that require access to processing, data, or hardware resources, and a distributed agent search is performed to recruit agents to satisfy the distributed task. This approach differs from others by incorporating design elements to accommodate large-scale systems into the resource location algorithm. Peersim simulations demonstrate that the distributed coalition formation algorithm is as effective as an omnipotent central algorithm in a one million agent system.


© 2013 IOS Press and the authors. All rights reserved.

AFIT Scholar furnishes the draft version of this article. The published version of record appears in Web Intelligence and Agent Systems and is available by subscription through the DOI link in the citation below.

"The authors would like to acknowledge the funding and support of the AFOSR and AFRL."

Shared in accordance with archiving rules found at Sherpa for this articles source journal successor title, Web Intelligence.



Source Publication

Web Intelligence and Agent Systems