Architecture and measured characteristics of a cloud based internet of things

Fox, Geoffrey; Kamburugamuve, Supun; Hartman, Ryan D.

doi:10.1109/cts.2012.6261020

Cited by 103 publications

(40 citation statements)

References 5 publications

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“…It is worth declaring that, although the Cloud can greatly develop and facilitate the IoT interconnection, it still has weaknesses in certain areas. Thus, practical restrictions can appear when an enormous amount of data needs to be transferred from the Internet to the Cloud [7], [16].…”

Section: Communicationmentioning

confidence: 99%

Integration of Cloud Computing with Internet of Things: Challenges and Open Issues

Atlam

Alenezi

Alharthi

et al. 2017

2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and I

137

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Abstract-The Internet of Things (IoT) is becoming the nextInternet-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.

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Section: Communicationmentioning

confidence: 99%

Integration of Cloud Computing with Internet of Things: Challenges and Open Issues

Atlam

Alenezi

Alharthi

et al. 2017

2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and I

137

View full text Add to dashboard Cite

show abstract

“…The IoT Cloud computation engine together with the message broker servers, are deployed on the FutureGrid [1] Cloud platform. The complicated collision avoidance algorithm is implemented as a Storm Topology running in the computation engine.…”

Section: Application Overviewmentioning

confidence: 99%

“…One very promising area is developing a universal platform for real-time smart device control applications using Cloud Computing technology. The IoT (Internet of Things) [1,2] Cloud is such a platform that provides real-time device control services. The IoT Cloud system is normally featured as both realtime responding and big data processing.…”

Section: Introductionmentioning

confidence: 99%

Cloud based Real-time Multi-robot Collision Avoidance for Swarm Robotics

Kamburugamuve

Fox

et al. 2016

IJGDC

Self Cite

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“…The most prominent of these efforts are the so-called sensor-clouds, which blend sensors into the data centre of the cloud and accordingly provide service oriented access to sensor data and resources [6]. Several recent research initiatives are focusing on real-life implementation of sensor clouds, including open source implementations [7].…”

Section: Related Workmentioning

confidence: 99%

Big Data, Internet of Things and Cloud Convergence for E-Health Applications

Suciu

Halunga

2015

New Contributions in Information Systems and Technologies

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Abstract. Big data storage and processing are considered as one of the main applications for cloud computing systems. Furthermore, the development of the Internet of Things (IoT) paradigm has advanced the research on Machine to Machine (M2M) communications and enabled novel tele-monitoring architectures for E-Health applications. However, there is a need for converging current decentralized cloud systems, general software for processing big data and IoT systems. The purpose of this paper is to analyze existing components and methods of integrating big data processing with cloud M2M systems based on Remote Telemetry Units (RTUs) and to propose a converged E-Health architecture built on Exalead CloudView, a search based application. Finally, we discuss the main findings of the proposed implementation and future directions.

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Architecture and measured characteristics of a cloud based internet of things

Cited by 103 publications

References 5 publications

Integration of Cloud Computing with Internet of Things: Challenges and Open Issues

Integration of Cloud Computing with Internet of Things: Challenges and Open Issues

Cloud based Real-time Multi-robot Collision Avoidance for Swarm Robotics

Big Data, Internet of Things and Cloud Convergence for E-Health Applications

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