A Proposal for a Distributed Computational Framework in IoT Context

Mora, Higinio; Pont, María Teresa Signes; Gil, David; Ferrández-Pastor, Francisco-Javier

doi:10.1007/978-3-319-67585-5_20

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…Clusters of IoT devices were the topic of several previous works. In [ 18 ], the authors propose a distributed architecture to perform collaborative work for IoT environments and sharing the application workload among the available devices. Offloading of tasks has been the subject of several previous works.…”

Section: Introductionmentioning

confidence: 99%

IoT Clusters for Enhancing Multimedia Applications

Coelho

Nogueira

2022

Sensors

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In this paper, we present a framework for exploring the spare capacity of IoT devices for clustered execution of multimedia applications. Applications of this type are usually framed with specific quality parameters that enable a desirable level of service. This means that the IoT cluster must guarantee strict quality ranges of service to work as expected. The framework is totally customizable, and QoS dimensions can be easily added or removed given their relevance in the application scenario. The achieved results clearly demonstrate the utility of using the spare capacity of IoT devices, otherwise unused, to cooperatively execute servies within the desired quality of service levels.

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Section: Introductionmentioning

confidence: 99%

IoT Clusters for Enhancing Multimedia Applications

Coelho

Nogueira

2022

Sensors

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“…To overcome these bottlenecks and delays, this work extends our recent proposal of a distributed architecture [ 11 ] to perform collaborative work for IoT-based environments and sharing the application workload among the available devices. This improved architecture takes into account the different network layers and their computing platforms involved, from the remote Cloud servers to connected smart sensors and “things”.…”

Section: Introductionmentioning

confidence: 99%

Collaborative Working Architecture for IoT-Based Applications

Mora

Pont

Gil

et al. 2018

Sensors

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The new sensing applications need enhanced computing capabilities to handle the requirements of complex and huge data processing. The Internet of Things (IoT) concept brings processing and communication features to devices. In addition, the Cloud Computing paradigm provides resources and infrastructures for performing the computations and outsourcing the work from the IoT devices. This scenario opens new opportunities for designing advanced IoT-based applications, however, there is still much research to be done to properly gear all the systems for working together. This work proposes a collaborative model and an architecture to take advantage of the available computing resources. The resulting architecture involves a novel network design with different levels which combines sensing and processing capabilities based on the Mobile Cloud Computing (MCC) paradigm. An experiment is included to demonstrate that this approach can be used in diverse real applications. The results show the flexibility of the architecture to perform complex computational tasks of advanced applications.

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A Proposal for a Distributed Computational Framework in IoT Context

Cited by 2 publications

References 13 publications

IoT Clusters for Enhancing Multimedia Applications

IoT Clusters for Enhancing Multimedia Applications

Collaborative Working Architecture for IoT-Based Applications

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