Mobile agents for network management: when and when not!

Authors:
Huy Hoang To;Shonali Krishnaswamy;Bala Srinivasan
Affiliations:
Monash University Melbourne, Australia;Monash University Melbourne, Australia;Monash University Melbourne, Australia
Venue:
Proceedings of the 2005 ACM symposium on Applied computing
Year:
2005

Citing 5
Cited 4

Evaluating the tradeoffs of mobile code design paradigms in network management applications

Proceedings of the 20th international conference on Software engineering
INCA: an agent-based network control architecture

IATA '98 Proceedings of the second international workshop on Intelligent agents for telecommunication applications
Improving management performance by using multiple mobile agents

AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Mobile agents for network management

IEEE Communications Surveys & Tutorials
Using mobile agents to implement flexible network management strategies

Computer Communications

Embodied mobile agents

AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
A mobile agent platform for distributed network and systems management

Journal of Systems and Software
Analytical Model to Evaluate the Performance of Mobile Agents in a Generic Network Topology

Journal of Network and Systems Management
Performance evaluation of a mobile agent based framework for security event management in IP networks

APNOMS'07 Proceedings of the 10th Asia-Pacific conference on Network Operations and Management Symposium: managing next generation networks and services

Quantified Score

Hi-index	0.00

Visualization

Abstract

In order to fully realise the potential of mobile agent technology to address the needs of the network management domain, it is imperative to establish the conditions where mobile agent-based (MA) NMS or SNMP-based NMS should be employed to achieve the optimal performance in term of overhead traffic generated. This paper presents mathematical models to approximate the overhead traffic created by the MA-based NMS and SNMP-based NMS on the production network, based on the complexity of the management task involved. Through our analysis and experimentation, we establish that there is range (of the number of nodes involved) wherein it is advantageous to use mobile agents. Furthermore, we demonstrate through our analytical model that this range can be estimated a priori, thereby facilitating a decision on when to deploy mobile agents and when not to.