Dynamic Scheduling of Multi-Agent in Agent-Based Distributed Network Management

Dynamic Scheduling of Multi-Agent in Agent-Based Distributed Network Management

Luo Junzhou (Southeast University, China)
DOI: 10.4018/978-1-59904-108-7.ch007
OnDemand PDF Download:


Agent technology has played an important role in distributed network management, and agent scheduling is an inevitable problem in a multi-agent system. This chapter introduces a network management scenario to support dynamic scheduling decisions. Some algorithms are proposed to decompose the whole network management task into several groups of sub-tasks. During the course of decomposition, different priorities are assigned to sub-tasks. Then, based on the priorities of these sub-tasks, a dynamic multi-agent scheduling algorithm based on dependences of sub-tasks is proposed. An experiment has been done with the decomposition algorithms, the results of which demonstrate the advantage of the algorithms. The performance test demonstrates that the competitive ratio of the dynamic scheduling algorithm is always smaller than that of the existing online scheduling algorithm, which indicates that the performance of the dynamic scheduling algorithm is better than the existing online scheduling algorithm. Finally, as an application example, the process of network stream management is presented. The authors hope that this scheduling method can give a new approach or suggestion for studying dynamic agents scheduling technology.

Complete Chapter List

Search this Book:
Table of Contents
Takayuki Ito, Chunsheng Yang, Ladislau Bölöni
Hong Lin
Chapter 1
Pratik K. Biswas
The desire to flexibly customize software, manage it efficiently, and empower it with intelligence has driven research and development-related... Sample PDF
Toward Agent-Oriented Conceptualization and Implementation
Chapter 2
Wanli Ma, Dat Tran
In this chapter, we propose a new concurrent programming approach called MACH (multi-agent extended chemical abstract machine). MACH extends the... Sample PDF
Concurrent Programming with Multi-Agents and the Chemical Abstract Machine
Chapter 3
Hiromitsu Hattori
This chapter focuses on a scheduling problem that considers various constraints as a complex real world problem. Constraints on scheduling can be... Sample PDF
Coalition Formation Among Agents in Complex Problems Based on a Combinational Auction Perspective
Chapter 4
Andre de Korvin
The purpose of this chapter is to present the key properties of fuzzy logic and adaptive nets and demonstrate how to use these, separately and in... Sample PDF
A Gentle Introduction to Fuzzy Logic and Its Applications to Intelligent Agents Design
Chapter 5
Paulo Marques
One central problem preventing widespread adoption of mobile agents as a code structuring primitive is that current mainstream middleware... Sample PDF
Component Agent Systems: Building a Mobile Agent Architecture That You Can Reuse
Chapter 6
Daniel Lübke, Jorge Marx Gómez
Within this chapter, we present the requirements and a possible conception of a framework, which provides a platform and starting point for the... Sample PDF
Designing a Foundation for Mobile Agents in Peer-to-Peer Networks
Chapter 7
Luo Junzhou
Agent technology has played an important role in distributed network management, and agent scheduling is an inevitable problem in a multi-agent... Sample PDF
Dynamic Scheduling of Multi-Agent in Agent-Based Distributed Network Management
Chapter 8
H. Farooq Ahmad, Hiroki Suguri
Multi-agent systems (MAS) advocate an agent-based approach to software engineering based on decomposing problems in terms of decentralized... Sample PDF
Scalable Fault Tolerant Agent Grooming Environment (SAGE)
Chapter 9
Lizhe Wang
This chapter discusses research issues related to agent-based Grid computing. Grid computing now becomes an innovative computing paradigm and helps... Sample PDF
Toward Agent-Based Grid Computing
Chapter 10
Dharmendra Sharma
In this chapter, we propose a multi-agent-based information technology (IT) security approach (MAITS) as a holistic solution to the increasing needs... Sample PDF
MAITS: A Multi-Agent-Based IT Security Approach
Chapter 11
Michael Bowman
For intelligent agents to become truly useful in real-world applications, it is necessary to identify, document, and integrate into them the human... Sample PDF
A Methodology for Modeling Expert Knowledge for Development of Agent-Based Systems
Chapter 12
Yang Gao, Hao Wang
This chapter concludes three perspectives on multi-agent reinforcement learning (MARL): (1) cooperative MARL, which performs mutual interaction... Sample PDF
Three Perspectives on Multi-Agent Reinforcement Learning
Chapter 13
Maria Salamó
This chapter introduces conversational recommender agents that facilitate user navigation through a product space, alternatively making concrete... Sample PDF
Modeling Knowledge and Reasoning in Conversational Recommendation Agents
Chapter 14
Fabiana Lorenzi, Daniela Scherer dos Santos, Denise de Oliveira, Ana L.C. Bazzan
Case-based recommender systems can learn about user preferences over time and automatically suggest products that fit these preferences. In this... Sample PDF
Task Allocation in Case-Based Recommender Systems: A Swarm Intelligence Approach
Chapter 15
Hyung Rim Choi, Hyun Soo Kim
Supply chain management recently has been developing into a dynamic environment that has to accept the changes in the formation of the supply chain.... Sample PDF
A Multi-Agent System for Optimal Supply Chain Management
Chapter 16
Ben Tse
This chapter presents an architecture, or general framework, for an agent-based electronic health record system (ABEHRS) to provide health... Sample PDF
Macroscopic Modeling of Information Flow in an Agent-Based Electronic Health Record System
Chapter 17
Gordon Fraser
An appropriate control architecture is a crucial premise for successfully achieving truly autonomous mobile robots. The architecture should allow... Sample PDF
Robust Intelligent Control of Mobile Robots
Chapter 18
Manolya Kavakli
The purpose of this chapter is to discuss the use of multi-agent systems to develop virtual reality training systems. We first review these systems... Sample PDF
RiskMan: A Multi-Agent System for Risk Management
About the Contributors