What is it about?

This work focuses on the smart gateways to enhance QoS and proposes a smart gateway framework for delay-sensitive and computation-intensive tasks. The proposed framework has been divided into two phases: task scheduling and task offloading. For the task scheduling phase, a dynamic priority-aware task scheduling algorithm (DP-TSA) is proposed to schedule the incoming task based on their priorities. A Memoization based Best-Fit approach (MBFA) algorithm is proposed to offload the task to the selected computational node for the task offloading phase. The proposed framework has been simulated and compared with the traditional baseline algorithms in different test case scenarios. The results show that the proposed framework not only optimized latency and throughput but also reduced energy consumption and was scalable as against the traditional algorithms.

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Why is it important?

This work is a step towards making devices smart to enhance the working of devices in fog-cloud environment, the upcoming researchers or scholars can take help from this article and work in future aspects.

Read the Original

This page is a summary of: Memoization based priority-aware task management for QoS provisioning in IoT gateways, Journal of Ambient Intelligence and Smart Environments, December 2023, IOS Press,
DOI: 10.3233/ais-220613.
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