Networked agents for scientific computing
Communications of the ACM
Seven good reasons for mobile agents
Communications of the ACM
Anomalies in parallel branch-and-bound algorithms
Communications of the ACM
Programming and Deploying Java Mobile Agents Aglets
Programming and Deploying Java Mobile Agents Aglets
Mobile agents: the next generation in distributed computing
PAS '97 Proceedings of the 2nd AIZU International Symposium on Parallel Algorithms / Architecture Synthesis
Paradigm-Oriented Distributed Computing Using Mobile Agents
ICDCS '00 Proceedings of the The 20th International Conference on Distributed Computing Systems ( ICDCS 2000)
Mobile software agents: an overview
IEEE Communications Magazine
Mobile agents based collective communication: an application to a parallel plasma simulation
ISPA'06 Proceedings of the 4th international conference on Parallel and Distributed Processing and Applications
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The Mobile Agent paradigm can increase the flexibility in the creation of distributed applications (and the restructuring of sequential applications for distributed systems), and can in particular provide with a robust framework for managing dynamical workload balancing. In this paper we show how the restructuring of a sequential code implementing an irregularly structured application, a combinatorial optimization performed with Branch & Bound (B&B) technique, with adoption of the mobile agent model, allows for yielding a dynamically load-balanced distributed version. The application of the mobile agent model is discussed, with respect to the solutions adopted for knowledge sharing, communication, load balancing, and termination condition.