Integration of cloud computing with internet of things: challenges and open issues
Integration of cloud computing with internet of things: challenges and open issues
The Internet of Things (IoT) is becoming the next Internet-related revolution. It allows billions of devices to be connected and communicate with each other to share information that improves the quality of our daily lives. On the other hand, Cloud Computing provides on-demand, convenient and scalable network access which makes it possible to share computing resources; indeed, this, in turn, enables dynamic data integration from various data sources. There are many issues standing in the way of the successful implementation of both Cloud and IoT. The integration of Cloud Computing with the IoT is the most effective way on which to overcome these issues. The vast number of resources available on the Cloud can be extremely beneficial for the IoT, while the Cloud can gain more publicity to improve its limitations with real world objects in a more dynamic and distributed manner. This paper provides an overview of the integration of the Cloud into the IoT by highlighting the integration benefits and implementation challenges. Discussion will also focus on the architecture of the resultant Cloud-based IoT paradigm and its new applications scenarios. Finally, open issues and future research directions are also suggested.
671-675
Atlam, Hany F.
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Alenezi, Ahmed
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Alharthi, Abdulrahman, Ayad
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Walters, Robert
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Wills, Gary
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21 June 2017
Atlam, Hany F.
addb33f5-5f65-4523-a6b8-328d9677c5d2
Alenezi, Ahmed
121c053f-ddf0-404f-b1cb-460b542ebed9
Alharthi, Abdulrahman, Ayad
3095419b-deca-441f-a80b-1df9e06c4964
Walters, Robert
7b8732fb-3083-4f4d-844e-85a29daaa2c1
Wills, Gary
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Atlam, Hany F., Alenezi, Ahmed, Alharthi, Abdulrahman, Ayad, Walters, Robert and Wills, Gary
(2017)
Integration of cloud computing with internet of things: challenges and open issues.
In 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData),.
IEEE.
.
(doi:10.1109/iThings-GreenCom-CPSCom-SmartData.2017.105).
Record type:
Conference or Workshop Item
(Paper)
Abstract
The Internet of Things (IoT) is becoming the next Internet-related revolution. It allows billions of devices to be connected and communicate with each other to share information that improves the quality of our daily lives. On the other hand, Cloud Computing provides on-demand, convenient and scalable network access which makes it possible to share computing resources; indeed, this, in turn, enables dynamic data integration from various data sources. There are many issues standing in the way of the successful implementation of both Cloud and IoT. The integration of Cloud Computing with the IoT is the most effective way on which to overcome these issues. The vast number of resources available on the Cloud can be extremely beneficial for the IoT, while the Cloud can gain more publicity to improve its limitations with real world objects in a more dynamic and distributed manner. This paper provides an overview of the integration of the Cloud into the IoT by highlighting the integration benefits and implementation challenges. Discussion will also focus on the architecture of the resultant Cloud-based IoT paradigm and its new applications scenarios. Finally, open issues and future research directions are also suggested.
Text
Integration of Cloud Computing with Internet of Things Challenges and Open Issues
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Available under License Other.
More information
Accepted/In Press date: 1 May 2017
Published date: 21 June 2017
Venue - Dates:
2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), , Exeter, United Kingdom, 2017-06-21 - 2017-06-23
Organisations:
Electronics & Computer Science, Electronic & Software Systems, Southampton Marine & Maritime Institute
Identifiers
Local EPrints ID: 410989
URI: http://eprints.soton.ac.uk/id/eprint/410989
PURE UUID: 2e64a12f-a575-4436-8f88-e4d03e8fc97c
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Date deposited: 13 Jun 2017 16:31
Last modified: 16 Mar 2024 02:52
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Contributors
Author:
Hany F. Atlam
Author:
Ahmed Alenezi
Author:
Abdulrahman, Ayad Alharthi
Author:
Robert Walters
Author:
Gary Wills
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