SIMoT: A Low-fidelity Orchestrator Simulator for Task Allocation in IoT Devices

• Type: Article in International Conference Proceedings Book
• Date: 2023

Authors

Fragoso, T (Author) Other; Silva, D (Author) Other; Dias, JP (Author) FEUP; André Restivo (Author) FEUP; Hugo Sereno Ferreira (Author) FEUP

Conference proceedings International

Title: 2023 53RD ANNUAL IEEE/IFIP INTERNATIONAL CONFERENCE ON DEPENDABLE SYSTEMS AND NETWORKS WORKSHOPS, DSN-W

Pages: 290-296

53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)

Porto, PORTUGAL, JUN 27-30, 2023

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Other information

Authenticus ID: P-00Y-VY6

DOI: 10.1109/dsn-w58399.2023.00070

Abstract (EN): Performing experiments with Internet-of-Things edge devices is not always a trivial task, as large physical testbeds or complex simulators are often needed, leading to low reproducibility and several difficulties in crafting complex scenarios and tweaking parameters. Most available simulators try to simulate as close to reality as possible. While we agree that this kind of high-fidelity simulation might be necessary for some scenarios, we argue that a low-fidelity easy-to-change simulator may be a good solution when rapid prototyping orchestration strategies and algorithms. In this work, we introduce SIMoT, a low-fidelity orchestrator simulator created to achieve shorter feedback loops when testing different orchestration strategies for task allocation in edge devices. We then transferred the simulator-validated algorithms to both physical and virtual testbeds, where it was possible to assert that the simulator results correlate strongly with the observations on those testbeds.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7