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Simulating IoT Workflows in DISSECT-CF-Fog
DOI:10.3390/s23031294.png)
摘要
En 中文
The modelling of IoT applications utilising the resources of cloud and fog computing is not straightforward because they have to support various trigger-based events that make human life easier. The sequence of tasks, such as performing a service call, receiving a data packet in the form of a message sent by an IoT device, and managing actuators or executing a computational task on a virtual machine, are often associated with and composed of IoT workflows. The development and deployment of such IoT workflows and their management systems in real life, including communication and network operations, can be complicated due to high operation costs and access limitations. Therefore, simulation solutions are often applied for such purposes. In this paper, we introduce a novel simulator extension of the DISSECT-CF-Fog simulator that leverages the workflow scheduling and its execution capabilities to model real-life IoT use cases. We also show that state-of-the-art simulators typically omit the IoT factor in the case of the scientific workflow evaluation. Therefore, we present a scalability study focusing on scientific workflows and on the interoperability of scientific and IoT workflows in DISSECT-CF-Fog.
Keyword:
Internet of Things
workflow management
fog computing
simulation
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期刊
IF:
3.5
论文数:
7.2W
被引数:
20.9W
机构
引用论文
Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges大物联网数据分析: 架构、机遇和开放研究挑战
IEEE ACCESS
IF3.6
Developing a Workflow Management System Simulation for Capturing Internal IaaS Behavioural Knowledge

