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Quality of Experience Optimization in IoT Energy Services

Distributed, Parallel, and Cluster Computing 2022-08-30 v1
Authors: Amani Abusafia , Athman Bouguettaya , Abdallah Lakhdari
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Abstract

We propose a novel Quality of Experience (QoE) metric as a key criterion to optimize the composition of energy services in a crowdsourced IoT environment. A novel importance-based composition algorithm is proposed to ensure the highest QoE for consumers. A set of experiments is conducted to evaluate the proposed approaches' effectiveness and efficiency.

Keywords

quality of experience iot energy services service composition crowdsourcing importance-based algorithm

Cite

@article{arxiv.2208.13506,
  title  = {Quality of Experience Optimization in IoT Energy Services},
  author = {Amani Abusafia and Athman Bouguettaya and Abdallah Lakhdari},
  journal= {arXiv preprint arXiv:2208.13506},
  year   = {2022}
}

Comments

6 pages, 4 figures, This paper is accepted in the 2022 IEEE International Conference on Web Services (ICWS 2022)

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