Virtualization of virtual measurement machines as component of distributed artificial intelligence system

  • Authors:
  • Andrey Angelov Elenkov

  • Affiliations:
  • Faculty of Automatics, Technical University of Sofia, Sofia, Bulgaria

  • Venue:
  • AIKED'09 Proceedings of the 8th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
  • Year:
  • 2009

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Abstract

The focus of Distributed Artificial Intelligence (DAI) is on the development of systems that emulate the intellectual abilities of a society of human beings. The approach in this paper corresponds to this focus - master, slave, hierarchy, centralized management. A low cost solution for High Availability and Disaster Recovery with hot site recovery strategy in SAN-oriented Virtual Measurement Systems, which are components of DAI System, is presented. It is based on cooperation and interaction between the intelligent agents (IAs). The agency is hierarchic and centralized, separated in branches formed of the IAs. Some of the branches are responsible for the measurements. The Virtual Measurement Machine (VM) is component of the IA. The IAs work as team. Each IA has a role but in case of disaster can play the role of the damaged IA because of implementation of VM live migration as virtualization technology.