5th International ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness

Research Article

A Mechanism of Automated Monitoring Deployment in Grid Environment

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  • @INPROCEEDINGS{10.4108/ICST.QSHINE2008.3814,
        author={Yinfeng Wang and Kwang Mong Sim and Xiaoshe Dong},
        title={A Mechanism of Automated Monitoring Deployment in Grid Environment},
        proceedings={5th International ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness},
        publisher={ICST},
        proceedings_a={QSHINE},
        year={2010},
        month={5},
        keywords={Automated Deployment Grid Resource Management Monitoring Service.},
        doi={10.4108/ICST.QSHINE2008.3814}
    }
    
  • Yinfeng Wang
    Kwang Mong Sim
    Xiaoshe Dong
    Year: 2010
    A Mechanism of Automated Monitoring Deployment in Grid Environment
    QSHINE
    ICST
    DOI: 10.4108/ICST.QSHINE2008.3814
Yinfeng Wang1,*, Kwang Mong Sim2,*, Xiaoshe Dong3,*
  • 1: Postdoctoral Research Fellow of Department of Computer Science, Hong Kong, Baptist University +852-34115972
  • 2: Professor of Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Kowloon +852-34115818
  • 3: Professor of Department of Computer Science, Xi’an Jiaotong Univesity, Shannxi,Xi’an +86-29-82663951
*Contact email: yfwang@comp.hkbu.edu.hk, bsim@comp.hkbu.edu.hk, xsdong@mail.xjtu.edu.cn

Abstract

Constructing monitoring systems beforehand cannot satisfy the requirement of dynamically organizing resources. This paper describes a script-based approach to automate the deployment of grid monitoring service components. An automated deployment monitoring mechanism uses the information of dynamically joined nodes to deploy system components, which avoids potential errors and inconvenience by manual deployment. The mechanism is Grid Monitoring Architecture compliant, and provides user-defined XML interfaces that is scalable and integrates with existing grid platforms and monitoring systems smoothly. To decrease the deployment complexity, this paper proposes an N-ary-tree based algorithm that reduces the automated deployment complexity from linearity rate to logarithm and provides more than 10 times improvement on deployment time. Empirical results show that the automated deployment monitoring mechanism can rapidly deploy monitoring services, and monitors heterogeneous and dynamic grid resources efficiently.