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Event-Driven Management Automation in the ALBM Cluster System

  • Dugki Min
  • Eunmi Choi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3278)

Abstract

One of major concerns on using a large-scale cluster system is manageability. The ALBM (Adaptive Load Balancing and Management) cluster system is an active cluster system that is scalable, reliable and manageable. We introduce the event-driven management automation by using the ALBM active cluster system. This architecture is based on an event management solution that is composed of event notification service, event channel service and event rule engine. Critical system state changes are generated as events and delivered to the event rule engine. According to the predefined management rules, some management actions are performed when a specific condition is satisfied. This event-driven mechanism can be used to manage the system automatically without human intervention. This event management solution can also be used for other advance management purpose, such as event correlation, root cause analysis, trend analysis or capacity planning. In order to support the management automation possibility, the experimental results are presented by comparing adaptive load balancing with non-adaptive load balancing mechanism. The adaptive scheduling algorithm that uses the event management automation results in a better performance compared to the non-adaptive ones for a realistic heavy-tailed workload.

Keywords

Cluster System Master Node Management Automation Message Format Node Agent 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© IFIP International Federation for Information Processing 2004

Authors and Affiliations

  • Dugki Min
    • 1
  • Eunmi Choi
    • 2
  1. 1.School of Computer Science and EngineeringKonkuk. UniversitySeoulKorea
  2. 2.School of Business ITKookmin UniversitySeoulKorea

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