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A Vector-Scheduling Approach for Running Many-Task Applications in the Cloud Read chapter Read first chapter

2018 | OriginalPaper | Chapter

A Case Study on Benchmarking IoT Cloud Services

Authors : Kevin Grünberg, Wolfram Schenck

Published in: Cloud Computing – CLOUD 2018

Publisher: Springer International Publishing

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Abstract

The Internet of Things (IoT) is on the rise, forming networks of sensors, machines, cars, household appliances, and other physical items. In the industrial area, machines in assembly lines are connected to the internet for quick date exchange and coordinated operation. Cloud services are an obvious choice for data integration and processing in the (industrial) IoT. However, manufacturing machines have to exchange data in close to real-time in many use cases, requiring small round-trip times (RTT) in the communication between device and cloud. In this study, two of the major IoT cloud services, Microsoft Azure IoT Hub and Amazon Web Services IoT, are benchmarked in the area of North Rhine-Westphalia (Germany) regarding RTT, varying factors like time of day, day of week, location, inter-message interval, and additional data processing in the cloud. The results show significant performance differences between the cloud services and a considerable impact of some of the aforementioned factors. In conclusion, as soon as (soft) real-time conditions come into play, it is highly advisable to carry out benchmarking in advance to identify an IoT cloud workflow which meets these conditions.

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Footnotes
1
Pretests did not show any significant RTT differences between different basic data types like int, float, etc.
 
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Metadata
Title
A Case Study on Benchmarking IoT Cloud Services
Authors
Kevin Grünberg
Wolfram Schenck
Copyright Year
2018
Book
Cloud Computing – CLOUD 2018

Print ISBN: 978-3-319-94294-0

Electronic ISBN: 978-3-319-94295-7

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-94295-7_28

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