Using Mobile Agent Techniques for Distributed Manufacturing Network Management

Manufacturing industries are facing increasingly competitive challenges in maintaining their existing markets and improving their capability to respond efficiently to rapidly changing customer needs. As a result, it is inevitable that modern manufacturing will move towards integrating their activities with their customers, suppliers and competitors into a supply chain through a computer network. This, thus, reflects the increasing complexity of computer network which supports the overall organisational and manufacturing environment. Existing centralised client-server based network management frameworks have suffered from numerous problems such as insufficient scalability, interoperability, reliability, and flexibility. Hence, Network Management (NM) becomes a critical issue in today’s rapidly changing distributed network environment. The goal of this paper is to show how we will apply mobile agent technology to an integrated network management framework in the field of distributed manufacturing. We propose a virtual clustering application framework, which is intended to show the integration of the manufacturing enterprise information and production system. In addition, a mobile agent framework will be required to provide a discussion regarding the ideas of mobile agent application in terms of the distributed network management.

[1]  Alexander Keller,et al.  Managing application services over service provider networks: architecture and dependency analysis , 2000, NOMS 2000. 2000 IEEE/IFIP Network Operations and Management Symposium 'The Networked Planet: Management Beyond 2000' (Cat. No.00CB37074).

[2]  D. Gavalas,et al.  An infrastructure for distributed and dynamic network management based on mobile agent technology , 1999, 1999 IEEE International Conference on Communications (Cat. No. 99CH36311).

[3]  Douglas H. Norrie,et al.  LEARNING COORDINATION PATTERNS FROM EMERGENT BEHAVIOR IN A MULTI-AGENT-BASED MANUFACTURING SYSTEM , 1997 .

[4]  Hee-Woong Kim,et al.  Business Process Versus Coordination Process in Organizational Change , 2000 .

[5]  Douglas H. Norrie,et al.  SC-Web-CS: Suply Chain Web-centric Systems , 2000, Artificial Intelligence and Soft Computing.

[6]  Anil K. Jain,et al.  Data clustering: a review , 1999, CSUR.

[7]  John Edwards,et al.  Using mobile agents to improve the alignment between manufacturing and its IT support systems , 1999, Robotics Auton. Syst..

[8]  Kurt Geihs,et al.  Decentralized SNMP management with mobile agents , 1999, Integrated Network Management VI. Distributed Management for the Networked Millennium. Proceedings of the Sixth IFIP/IEEE International Symposium on Integrated Network Management. (Cat. No.99EX302).

[9]  Luís Moura Silva,et al.  Using mobile agents for parallel processing , 1999, Proceedings of the International Symposium on Distributed Objects and Applications.

[10]  Amjad Umar Distributed computing and client-server systems , 1993 .

[11]  Antonio Puliafito,et al.  Advanced Network Management Functionalities through the Use of Mobile Software Agents , 1999, IATA.

[12]  Alex Berson,et al.  Data Warehousing, Data Mining, and OLAP , 1997 .

[13]  Fernando Boavida,et al.  Integrating SNMP into a Mobile Agent Infrastructure , 1999, DSOM.

[14]  Marcelo G. Rubinstein,et al.  Analyzing Mobile Agent Scalability in Network Management , 1999, LANOMS.

[15]  Srinivas Talluri,et al.  A Benchmarking Method for Business-Process Reengineering and Improvement , 2000 .

[16]  Antonio Puliafito,et al.  Using mobile agents to implement flexible network management strategies , 2000, Comput. Commun..

[17]  William Stallings,et al.  SNMP, SNMPv2, SNMPv3, and RMON 1 and 2 , 1999 .