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A Scalable Monitoring Solution for Large-Scale Distributed Systems

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Computer Aided Systems Theory – EUROCAST 2015 (EUROCAST 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9520))

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Abstract

Applications running in large-scale distributed systems face many challenges and difficulties. Constraints imposed to such systems need to be thoroughly checked in order to ensure a proper service delivery to the client. The current paper proposes a monitoring solution for large-scale distributed systems relying on abstract state machines. Data gathered from the monitoring components are used in calculating metrics and establishing a diagnosis for the system. Emphasis is put on failure detection and on ensuring non-functional requirements of the system such as fault-tolerance and resilience. The model introduced in this paper will be integrated in a cloud-enabled large-scale distributed system. The novelty of the solution consists of finding the best integration architecture for state-of-the-art algorithms and tools and refining them to an efficient version for large-scale distributed systems.

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Notes

  1. 1.

    A tuple (\(\mathrm {M_{k}}\), \(\mathrm {T_{k}}\), \(\mathrm {I_{k}}\)) refers to (\(\mathrm {Monitoring Component_{k}}\), \(\mathrm {Topology_{k}}\), \(\mathrm {Metrics Set_{k}}\)).

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Authors and Affiliations

  1. Christian-Doppler Laboratory for Client-Centric Cloud Computing (CDCC), Softwarepark 21, 4232, Hagenberg im Mühlkreis, Austria

    Andreea Buga

Authors
  1. Andreea Buga
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Correspondence to Andreea Buga .

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Editors and Affiliations

  1. de Gran Canaria, Universidad de las Palmas de Gran Canari, Las Palmas de Gran Canaria, Spain

    Roberto Moreno-Díaz

  2. Johannes Kepler University Linz, Linz, Austria

    Franz Pichler

  3. de Gran Canaria, Universidad de las Palmas de Gran Canari, Las Palmas de Gran Canaria, Spain

    Alexis Quesada-Arencibia

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Buga, A. (2015). A Scalable Monitoring Solution for Large-Scale Distributed Systems. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2015. EUROCAST 2015. Lecture Notes in Computer Science(), vol 9520. Springer, Cham. https://doi.org/10.1007/978-3-319-27340-2_28

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  • DOI: https://doi.org/10.1007/978-3-319-27340-2_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27339-6

  • Online ISBN: 978-3-319-27340-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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