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Characterization of IoT Workloads

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Edge Computing – EDGE 2019 (EDGE 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11520))

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Abstract

Workload characterization is a fundamental step in carrying out performance and Quality of Service engineering studies. The workload of a system is defined as the set of all inputs received by the system from its environment during one or more time windows. The characterization of the workload entails determining the nature of its basic components as well as a quantitative and probabilistic description of the workload components in terms of both the arrival process, event counts, and service demands. Several workload characterization studies were presented for a variety of domains, except for IoT workloads. This is precisely the main contribution of this paper, which also presents a capacity planning study based on one of the workload characterizations presented here.

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Author information

Authors and Affiliations

  1. Department of Computer Science, George Mason University, Fairfax, VA, USA

    Uma Tadakamalla & Daniel A. Menascé

Authors
  1. Uma Tadakamalla
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  2. Daniel A. Menascé
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Correspondence to Uma Tadakamalla or Daniel A. Menascé .

Editor information

Editors and Affiliations

  1. Cisco Systems, Iselin, NJ, USA

    Tao Zhang

  2. University of North Carolina, Charlotte, NC, USA

    Jinpeng Wei

  3. Kingdee International Software Group Co., Ltd., Shenzhen, China

    Liang-Jie Zhang

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Tadakamalla, U., Menascé, D.A. (2019). Characterization of IoT Workloads. In: Zhang, T., Wei, J., Zhang, LJ. (eds) Edge Computing – EDGE 2019. EDGE 2019. Lecture Notes in Computer Science(), vol 11520. Springer, Cham. https://doi.org/10.1007/978-3-030-23374-7_1

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  • DOI: https://doi.org/10.1007/978-3-030-23374-7_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-23373-0

  • Online ISBN: 978-3-030-23374-7

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