JOURNAL ARTICLE

Biologically-inspired adaptation of autonomic network applications

Junichi Suzuki

Year: 2005 Journal:   International Journal of Parallel Emergent and Distributed Systems Vol: 20 (2)Pages: 127-146   Publisher: Taylor & Francis

Abstract

This paper describes and empirically evaluates a new biologically-inspired adaptation mechanism for network applications in the NetSphere architecture. The NetSphere architecture is inspired by the observation that the biological systems (e.g. bee colonies) have already developed mechanisms necessary to achieve future network requirements such as autonomy and adaptability. In the NetSphere architecture, a network application is implemented as a group of distributed and autonomous agents (analogous to a bee colony consisting of multiple bees). Each agent implements a functional service related to the application and follows simple behaviors similar to biological entities such as reproduction, replication, migration and environment sensing. The proposed agent adaptation mechanism runs on the middleware platform for the NetSphere architecture, called the NetSphere platform. Designed after the mechanism behind how the immune system produces specific antibodies against an antigen invasion, the proposed adaptation mechanism allows agents to autonomously monitor their surrounding environmental conditions (e.g. traffic volume and resource availability) and adaptively perform their behaviors (e.g. reproduction and migration) suitable for the current environmental conditions. The empirical evaluation shows that the proposed mechanism achieves autonomous adaptability of network applications and the NetSphere platform is efficient and reusable to host autonomous adaptive network applications.

Keywords:
Adaptability Computer science Distributed computing Adaptation (eye) Mechanism (biology) Middleware (distributed applications) Replication (statistics) Architecture Computer network Ecology

Metrics

3
Cited By
0.80
FWCI (Field Weighted Citation Impact)
17
Refs
0.76
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Distributed systems and fault tolerance
Physical Sciences →  Computer Science →  Computer Networks and Communications
Distributed and Parallel Computing Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Peer-to-Peer Network Technologies
Physical Sciences →  Computer Science →  Computer Networks and Communications
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