JOURNAL ARTICLE

Bio-inspired Policy Based Management (bioPBM) for Autonomic Bio-inspired Policy Based Management (bioPBM) for Autonomic

Abstract

The tremendous development of Internet infrastructures as well as communication technologies has led to an increase in network management complexity. Autonomic control is one way to manage complexity. Policy based management systems (PBMS) provide a consistent model for decision making using a set of abstractions (i.e., to manage the system in a manner that is independent from the complexities of low level network technologies). In this paper, we develop a hierarchical bio-inspired PBMS based on mechanisms for organism regulation that supports self-organisation and self-management at different levels of the hierarchy. We employ this mechanism towards network management of autonomic communications systems

Keywords:
Autonomic computing Computer science Hierarchy Set (abstract data type) The Internet Network management Knowledge management Process management Distributed computing Business Computer network World Wide Web

Metrics

13
Cited By
3.14
FWCI (Field Weighted Citation Impact)
16
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Software Engineering Methodologies
Physical Sciences →  Computer Science →  Artificial Intelligence
Modular Robots and Swarm Intelligence
Physical Sciences →  Engineering →  Mechanical Engineering
Distributed systems and fault tolerance
Physical Sciences →  Computer Science →  Computer Networks and Communications

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