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Related Experiment Video

Updated: Jul 17, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
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IoT Workload Emulation for Data Centers.

Thomas Batz1, Reinhard Herzog1, Jon Summers2,3

  • 1Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, Karlsruhe, Germany.

Open Research Europe
|August 30, 2023
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Summary

This study introduces a novel method for emulating Internet of Things (IoT) application workloads in data centers. This approach enables realistic testing of data center designs and cooling systems under diverse IoT demands.

Keywords:
BenchmarkInternet of ThingsIoTPredictive MaintainenceSmartCity

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Area of Science:

  • Computer Science
  • Data Center Engineering

Background:

  • The Internet of Things (IoT) is rapidly expanding, making its applications a major workload for data centers.
  • Designing and testing data center setups with real IoT applications is challenging due to complexity and scalability issues.

Purpose of the Study:

  • To develop a generic and reproducible method for modeling and emulating IoT application workloads for data centers.
  • To provide a tool for data center designers to meet evolving customer requirements driven by IoT growth.

Main Methods:

  • Decomposing diverse IoT applications into standardized application primitives based on emerging reference architectures.
  • Utilizing these primitives to create a realistic and configurable workload emulation for data center testing.

Main Results:

  • A simple yet generic approach to model IoT application workloads has been established.
  • The method allows for reproducible emulation of IT loads, facilitating data center design and testing.

Conclusions:

  • The proposed IoT workload emulation method supports realistic testing of data center infrastructure, including novel cooling strategies.
  • This approach aids in harmonizing IoT application design and data center provisioning by providing a standardized emulation framework.