Mobile Agents for Distributed and Dynamically Balanced Optimization Applications

Aversa, R; Martino, B Di; Mazzocca, N; Venticinque, Salvatore

Abstract:

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 dinamically load-balanced distributed version.

Year:

2001

Type of Publication:

In Book

Keywords:

Mobile Agents; High performance computing

Volume:

2110

Pages:

161-170

Publisher:

Springer

Address:

Berlin

DOI:

10.1007/3-540-48228-8_17