SEAL-CC: Scalable Latency Evaluation Methodology for Internet-of-Things Services

Traditional network measurement campaigns suffer from the lack of control over network infrastructure and the inability to evaluate communication performance directly, especially for the placement of highly distributed Internet of Things (IoT) services.In response, we propose a novel Scalable Latency Evaluation Methodology for the Computing Continuum (SEAL-CC).SEAL-CC extends beyond short-term evaluations by capturing the long-term responsiveness of networks supporting IoT services on the computing continuum.It organizes and evaluates a network of nodes, offering insights for optimized IoT service placement in urban and international settings.Our contributions include a novel evaluation methodology tailored for IoT services over the computing continuum, a comprehensive framework for transparent network evaluation using distributed Internet measurement platforms, and a real-life case-study validation with recommendations for IoT service placement.

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Publication Details

Published
2024-11-19
DOI
https://doi.org/10.1145/3703790.3703804
Citations
2
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.70

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article

SEAL-CC: Scalable Latency Evaluation Methodology for Internet-of-Things Services

Bernard Spiess, Oliver Hohlfeld, Kurt Horvath, Radu Prodan et al.
2 citations
IoT and Edge/Fog Computing
0.70
article

SEAL-CC: Scalable Latency Evaluation Methodology for Internet-of-Things Services

Bernard Spiess, Oliver Hohlfeld, Kurt Horvath, Radu Prodan, Dragi Kimovski
article en
2 citations

Abstract

Traditional network measurement campaigns suffer from the lack of control over network infrastructure and the inability to evaluate communication performance directly, especially for the placement of highly distributed Internet of Things (IoT) services.In response, we propose a novel Scalable Latency Evaluation Methodology for the Computing Continuum (SEAL-CC).SEAL-CC extends beyond short-term evaluations by capturing the long-term responsiveness of networks supporting IoT services on the computing continuum.It organizes and evaluates a network of nodes, offering insights for optimized IoT service placement in urban and international settings.Our contributions include a novel evaluation methodology tailored for IoT services over the computing continuum, a comprehensive framework for transparent network evaluation using distributed Internet measurement platforms, and a real-life case-study validation with recommendations for IoT service placement.

University of Kassel (DE), University of Klagenfurt (AT)
European Commission, Österreichische Forschungsförderungsgesellschaft
Openalex Percentile: Top 25%
IoT and Edge/Fog Computing
0.70
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SEAL-CC: Scalable Latency Evaluation Methodology for Internet-of-Things Services — Bernard Spiess, Oliver Hohlfeld, et al. · (2024) | TGRS Research Map | TGRS