A Hierarchical Adaptive Distributed System-Level Diagnosis Algorithm
IEEE Transactions on Computers
IEEE Transactions on Software Engineering
Seven good reasons for mobile agents
Communications of the ACM
Evaluating the tradeoffs of mobile code design paradigms in network management applications
Proceedings of the 20th international conference on Software engineering
Performance analysis of mobile agents for filtering data streams on wireless networks
Mobile Networks and Applications - Analysis and Design of Multi-Service Wireless Networks
Delegated agents for network management
IEEE Communications Magazine
Mobile software agents: an overview
IEEE Communications Magazine
Enhancing telecommunications service engineering with mobile agent technology and formal methods
IEEE Communications Magazine
Active distributed management for IP networks
IEEE Communications Magazine
A scalable agent-based network measurement infrastructure
IEEE Communications Magazine
DUET: an agent-based personal communications network
IEEE Communications Magazine
Programmable agents for flexible QoS management in IP networks
IEEE Journal on Selected Areas in Communications
A hierarchical multilayer QoS routing system with dynamic SLA management
IEEE Journal on Selected Areas in Communications
A model and evaluation of distributed network management approaches
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Mobile agents - enabling technology for active intelligent network implementation
IEEE Network: The Magazine of Global Internetworking
QoS routing for MPLS networks employing mobile agents
IEEE Network: The Magazine of Global Internetworking
Internet service monitoring with mobile agents
IEEE Network: The Magazine of Global Internetworking
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The new emerging technology of Mobile Agents (MAs) has arisen in the distributed programming field as a potential flexible way of managing resources of a distributed system. In this paper a generic framework that can be used for the evaluation and analysis of the performance and tradeoffs of the MA management paradigm is introduced. One key principle of the proposed framework, is that it provides a common paradigm that can accommodate both one-time and periodic management tasks. We illustrate how the developed analytical framework can be used to quantitatively evaluate the performances and tradeoffs in different computing paradigms, by comparing the performances of the MA based paradigm with the corresponding ones of the Client-Server (CS) mode under different scenarios. We also discuss how different MA dissemination strategies could affect the performances of the mobile agent based network management approach.