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What Does I(o)T Cost?

Published: 18 April 2017 Publication History

Abstract

Though in recent years cloud-based solutions already started to dominate the Internet of Services, with the appearance of the Internet of Things (IoT) paradigm, more complex systems have been formed that still need a significant amount of research. The large amount of data produced by these devices requires cloud services to be efficiently processed and meaningfully visualized. In this paper, we perform cost-based investigations of two popular IoT application groups to help users to better understand IoT cloud ecosystems. We also compare existing IoT cloud providers by estimating on-demand service costs considering different circumstances, e.g. diverse messages sizes, the number of messages, the frequency of message sending and different virtual machine or application service configurations. We also implemented the defined scenarios with the IBM Bluemix IoT Platform and measure the exact data usage and prices.

References

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A. Botta, W. de Donato, V. Persico, A. Pescape, On the Integration of Cloud Computing and Internet of Things. The 2nd International Conference on Future Internet of Things and Cloud (FiCloud-2014), August 2014.
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S. Nastic, S. Sehic, D. Le, H. Truong, and S. Dustdar, Provisioning Software-defined IoT Cloud Systems. The 2nd International Conference on Future Internet of Things and Cloud (FiCloud-2014), August 2014.
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L. Atzori, A. Iera, and G. Morabito, The Internet of Things: A Survey. Comput. Netw., Vol. 54, No. 15, pp. 2787--2805, 2010.
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Pricing of Microsoft Azure IoT Hub. Online: https://azure.microsoft.com/en-gb/pricing/details/iothub/, 2016.
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IBM Bluemix IoT Platform. Online: https://www.ibm.com/cloud-computing/bluemix/-internet-of-things, 2016.
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Pricing of IBM Bluemix IoT Platform. Online: https://console.ng.bluemix.net/?direct=classic/#/-pricing/cloudOEPaneId=pricing&paneId=pricingSheet, 2016.
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Pricing of Amazon IoT. Online: https://aws.amazon.com/iot/pricing/, Dec. 2016.
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Cited By

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  • (2022)The Anatomy of IoT Platforms—A Systematic Multivocal Mapping StudyIEEE Access10.1109/ACCESS.2022.318966010(72758-72772)Online publication date: 2022
  • (2020)Amazon, Google and Microsoft Solutions for IoT: Architectures and a Performance ComparisonIEEE Access10.1109/ACCESS.2019.29615118(5455-5470)Online publication date: 2020

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Published In

cover image ACM Conferences
ICPE '17 Companion: Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion
April 2017
248 pages
ISBN:9781450348997
DOI:10.1145/3053600
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 April 2017

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Author Tags

  1. cloud computing
  2. cost estimation
  3. internet of things

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  • Research-article

Funding Sources

  • New National Excellence Program of the Ministry of Human Capacities of Hungary

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ICPE '17
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ICPE '17 Companion Paper Acceptance Rate 24 of 65 submissions, 37%;
Overall Acceptance Rate 252 of 851 submissions, 30%

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Cited By

View all
  • (2022)The Anatomy of IoT Platforms—A Systematic Multivocal Mapping StudyIEEE Access10.1109/ACCESS.2022.318966010(72758-72772)Online publication date: 2022
  • (2020)Amazon, Google and Microsoft Solutions for IoT: Architectures and a Performance ComparisonIEEE Access10.1109/ACCESS.2019.29615118(5455-5470)Online publication date: 2020

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