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arXiv · 2308.09886

Flow-Based Energy Services Composition

Amani Abusafia·Abdallah Lakhdari·Athman Bouguettaya
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Abstract

We propose a novel spatio-temporal service composition framework for crowdsourcing multiple IoT energy services to cater to multiple energy requests. We define a new energy service model to leverage the wearable-based energy and wireless power transfer technologies. We reformulate the problem of spatio-temporal service composition to provision multiple energy requests as a matching problem. We leverage the fragmented nature of energy to offer partial services to maximize the utilization of energy services. We propose EnergyFlowComp, a modified Maximum Flow matching algorithm that efficiently provisions IoT energy services to accommodate multiple energy requests. Moreover, we propose PartialFlowComp, an extension of the EnergyFlowComp approach that considers the partial-temporal overlap between services and requests in provisioning. We conduct an extensive set of experiments to assess the effectiveness and efficiency of the proposed framework.

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Amani Abusafia, Abdallah Lakhdari, Athman Bouguettaya. 2023-08-19. Flow-Based Energy Services Composition. https://arxiv.org/abs/2308.09886

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