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Implementation and Evaluation of IoT System Using Cloud Storage Platform

Published: 24 October 2018 Publication History

Abstract

As the internet has become more accessible, the use of Internet of Things (IoT) systems is increasing. An IoT system can be accessed either by directly connecting to the network configured with external access and appropriate port forwarding; or through a cloud server. Direct access through network may not be possible for networks with restriction on external access, and requires technical know-how to configure the port forward. The use of cloud server is convenient that the users simply have to sign up an account at and use user friendly application to setup the system. This approach however requires the manufacturer to main the cloud server, has the concern of having users' data accessible to the owner of the cloud server, and does not allow interoperability of devices and systems across different manufacturers. In this paper, we have proposed the use of publicly available cloud storage services to provide the accessibility of the IoT devices without relying on a specific cloud server, and without requiring the manufacturer to maintain their own cloud server. The proposed approach will allow interoperability between devices or systems from different manufacturers. This paper describes the concept, implementation and evaluation of the proposed cloud storage based IoT system. The proposed IoT system has been implemented to work with Google Drive, Dropbox and Microsoft OneDrive. The performance of the proposed system has been evaluated against dedicated IoT cloud servers including Microsoft Azure IoT, Google IoT, CloudMQTT (CMQTT) and Eclipse IoT. The results show that can be effectively used in systems that are not time critical.

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Cited By

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  • (2023)A Game Theory Study of Big Data Analytics in Internet of ThingsIEEE Transactions on Network and Service Management10.1109/TNSM.2022.321883220:2(1707-1716)Online publication date: 1-Jun-2023

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  1. Implementation and Evaluation of IoT System Using Cloud Storage Platform

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      cover image ACM Other conferences
      BDIOT '18: Proceedings of the 2018 2nd International Conference on Big Data and Internet of Things
      October 2018
      217 pages
      ISBN:9781450365192
      DOI:10.1145/3289430
      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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      • Deakin University

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 24 October 2018

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      Author Tags

      1. Cloud
      2. Gateway
      3. IP
      4. Internet
      5. Internet of Things (IoT)
      6. Network
      7. Protocols
      8. Storage

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      Overall Acceptance Rate 75 of 136 submissions, 55%

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      • (2023)A Game Theory Study of Big Data Analytics in Internet of ThingsIEEE Transactions on Network and Service Management10.1109/TNSM.2022.321883220:2(1707-1716)Online publication date: 1-Jun-2023

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