Title :
Adaptive Monitoring for Virtual Machine Based Reconfigurable Enterprise Systems
Author :
Machida, Fumio ; Kawato, Masahiro ; Maeno, Yoshiharu
Author_Institution :
NEC Corp., Kawasaki
Abstract :
Dynamic monitoring adaptation to system reconfigurations such as server scale-out is required especially for the virtual machine based flexible IT systems. For any states of the systems, the monitoring server must provide fresh information with a stabilized load. In this paper, we propose an adaptive monitoring method that generates the monitoring schedule for each state of the target systems. The schedule regulates the processes for updating information cache to keep the required freshness and to stabilize the monitoring load. Since the problem for schedule generation is classified in NP-hard, we propose an approximation algorithm. Results from experiments with system reconfigurations show that the adaptive monitoring method improves the variation coefficients of CPU usages and network traffics of monitoring server by at most 80%.
Keywords :
computational complexity; file servers; resource allocation; scheduling; system monitoring; virtual machines; NP-hard problem; adaptive monitoring method; approximation algorithm; dynamic monitoring adaptation; load balancing; schedule generation; virtual machine based flexible IT system; virtual machine based reconfigurable enterprise system; Approximation algorithms; Availability; Condition monitoring; Optimal scheduling; Power system management; Processor scheduling; Resource management; Scheduling algorithm; Virtual machine monitors; Virtual machining; Adaptive Monitoring; Virtual Machine;
Conference_Titel :
Autonomic and Autonomous Systems, 2007. ICAS07. Third International Conference on
Conference_Location :
Athens
Print_ISBN :
978-0-7695-2859-7
Electronic_ISBN :
978-0-7695-2859-7
DOI :
10.1109/CONIELECOMP.2007.51