Agent-Based Faults Monitoring in Automatic Teller Machines
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Date
2012
Journal Title
Journal ISSN
Volume Title
Publisher
African Institute of Development Informatics and Policy - Computing, Information Systems and Development Informatics Journal, 3(4), 1 – 6
Abstract
Automated Teller Machine (ATM) has gained widespread acceptance as a convenient medium to facilitate financial
transaction without need for human agent. However, ATM deployers are facing challenges in maximizing the uptime of their
ATMs as a result of wide gap in fault detection, notification and correction of the ATMs. One way to ameliorate this
situation is through intelligent monitoring of ATM by resident software agents that monitor the device real time and report
faulty components real time to facilitate quick response. We proposed an architecture for rule-based, intelligent agent based
monitoring and management of ATMs. Agents are used to perform remote monitoring on the ATMs and control function
such software maintenance. Such agents can detect basic events or correlate existing events that are stored in a database to
detect faults. A system administrator can securely modify the monitoring policies and control functions of agents. The
framework presented here includes software fault monitor, hardware fault monitor and transaction monitor. A set of utility
support agents: caller agent and log agent are used to alert network operator and log error and transaction information in a
database respectively. at-1, stuck-at-0 faults in digital circuits validate the point that faulty circuits dissipates more and
hence draw more power.
Key words: Automated Teller Machine (ATM), Intelligent Agents, Mobile Agents, Event Monitoring