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- W4387143766 abstract "Internet of Medical Things(IoMT) devices connect billions of sensors consisting of a large volume of computation-intensive and time-sensitive tasks in the health sector. These tasks need to be processed or executed by different computational devices used in the network infrastructure for getting meaningful information. Due to the resource-constrained nature of IoMT devices, the devices mostly offload these tasks to various edge devices. The IoMT-Cloud paradigm provides different services storage, computation, and communication for the execution of various IoMT applications with elasticity and scalability on the pay-per-use model. Despite the wonderful benefits of cloud computing, there are various issues that remain unsolved like the response time of an IoMT application must satisfy hard deadlines, and Quality of Service(QoS) parameters. In order to improve the response time, and QoS, a decentralized distributed computing paradigm named Edge computing has emerged as a potential solution to provide computing and networking resources at the edge of the network for different IoT application domains. In this article, a serverless edge computing framework is proposed that provides various IoMT services to emerging healthcare applications. It also provides the mathematical derivations of the model along with its client IoMT applications layer, edge layer, and cloud layer." @default.
- W4387143766 created "2023-09-29" @default.
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- W4387143766 date "2023-08-03" @default.
- W4387143766 modified "2023-10-18" @default.
- W4387143766 title "Leveraging Towards Serverless Edge Computing Model for Intelligent IoMT Applications" @default.
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- W4387143766 doi "https://doi.org/10.1145/3607947.3607969" @default.
- W4387143766 hasPublicationYear "2023" @default.
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