A smart mechanism for allocating edge and mobile computers to match the need of devices requesting external computational resources is developed.
Jul 8, 2020 · In this paper, we employ the concept of Social IoT and machine learning to downgrade the complexity of allocating appropriate edge computers.
This paper proposes a framework that detects different communities of devices in SIoT enclosing trustworthy peers having strong social relations and ...
In this paper, we employ the concept of Social IoT and machine learning to downgrade the complexity of allocating appropriate edge computers.
PDF | On Aug 1, 2020, Abdullah Khanfor and others published Computational Resource Allocation for Edge Computing in Social Internet-of-Things | Find, read and
Jul 12, 2020 · In this paper, we employ the concept of Social IoT and machine learning to downgrade the complexity of allocating appropriate edge computers. We ...
Resource Allocation for Edge Computing in IoT Networks via ...
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In this paper, we consider resource allocation for edge computing in internet of things (IoT) networks. Specifically, each end device is considered as an ...
Jul 31, 2021 · In this paper, we classify state-of-the-art computation resource allocation schemes based on three criteria: (1) Their optimization goal, (2) Mathematical ...
Dec 23, 2021 · This algorithm makes full use of the computing power for cloud and edge, which effectively meets the demand for efficient computing services in ...
Jul 26, 2023 · This paper aims to optimize offloading and resource allocation to minimize delay and meet computation and communication needs in edge-cloud computing.