Building Stakeholder Trust in Internet of Things (IoT) Data Services using Information Service Level Agreements (SLAs)

Peoples, Cathryn; Abu-Tair, Mamun; Wang, B.; Rabbani, Kashif; Morrow, Philip; Rafferty, Joseph; Moore, Adrian; McClean, Sally; Fisher, Margaret

doi:10.1109/wf-iot.2019.8767307

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State of the art in service level agreement implementation and standardization: A literature review

Awalurahman,

Hariyanti,

Cahyani

et al. 2023

AIP Conference Proceedings

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State of the art in service level agreement implementation and standardization: A literature review

Awalurahman,

Hariyanti,

Cahyani

et al. 2023

AIP Conference Proceedings

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A Meticulous Range of Forensics Tech Advancement in the field of IoT, IIoT and MIoT

Matta,

Kamalraj,

Saxena

2024

2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT)

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Using DL Models in the Service Layer to Enhance the Fault Tolerance of IoT Networks

Jammalamadaka,

Chokara,

Jammalamadaka

et al. 2024

Electronics

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In an IoT network, the networked servers form a service layer, providing services to the users and the devices. The request to the service servers is routed through the gateway on one side of the services layer and the networked controllers on the other side. Data are transported from the sensors/devices through cluster heads en route to base stations and the controllers to the service servers, where the data are processed and sent for storage in the cloud through gateways. When any device is broken down or becomes non-operational, the inputs are not sensed, creating a gap in the data. The data transmitted from the devices would then become an incomplete flow; such data are not suitable for undertaking data analytics or predictions. The missing data must be first identified as the data flow and estimated or predicated to complete the data before they are transmitted through the cloud for storage and subsequent retrievals. This paper proposes a recurrent (RNN) neural network to predict the missing data. Two models are tested to predict the missing data: the multi-layer perceptron (MLP) model and a long short-term memory (LSTM)-based RNN model. The RNN-based model provides 99.66% accurate data prediction compared to other models.

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Building Stakeholder Trust in Internet of Things (IoT) Data Services using Information Service Level Agreements (SLAs)

Cited by 3 publications

References 3 publications

State of the art in service level agreement implementation and standardization: A literature review

State of the art in service level agreement implementation and standardization: A literature review

A Meticulous Range of Forensics Tech Advancement in the field of IoT, IIoT and MIoT

Using DL Models in the Service Layer to Enhance the Fault Tolerance of IoT Networks

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