ue 15(6): e1

Research Article

Scalable Monitoring Analytics Architecture in Software-Defined Infrastructure

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  • @ARTICLE{10.4108/icst.tridentcom.2015.260151,
        author={Jieyu Lin and Byungchul Park and Qi Zhang and Hadi Bannazadeh and Alberto Leon-Garcia},
        title={Scalable Monitoring Analytics Architecture in Software-Defined Infrastructure},
        journal={EAI Endorsed Transactions on Ubiquitous Environments},
        volume={2},
        number={6},
        publisher={EAI},
        journal_a={UE},
        year={2015},
        month={8},
        keywords={monitoring, cloud computing, sdn, sdi},
        doi={10.4108/icst.tridentcom.2015.260151}
    }
    
  • Jieyu Lin
    Byungchul Park
    Qi Zhang
    Hadi Bannazadeh
    Alberto Leon-Garcia
    Year: 2015
    Scalable Monitoring Analytics Architecture in Software-Defined Infrastructure
    UE
    EAI
    DOI: 10.4108/icst.tridentcom.2015.260151
Jieyu Lin1, Byungchul Park1, Qi Zhang1, Hadi Bannazadeh1,*, Alberto Leon-Garcia1
  • 1: University of Toronto
*Contact email: hadi.bannazadeh@utoronto.ca

Abstract

Software-Defined Infrastructure provides a unified architecture for integrated management of virtualized heterogeneous resources in cloud infrastructures. Monitoring and measurement is an important component in the Software-Defined Infrastructure. In this paper, we describe the architecture of Software-Defined Infrastructure focusing on its monitor- ing and measurement manager. The monitoring and measurement manager has been implemented in a system called MonArch, which is capable of performing integrated mon- itoring of heterogeneous resources. MonArch has been de- ployed and operational in the SAVI Testbed. Flexible analytics capability and scalability of MonArch is demonstrated through two use cases: virtual machine communication analysis and anomaly detection.