Abstract
Recently, the World Economic Forum (WEF) highlighted mission-critical Internet of Things (MC-IoT) applications as one of the six enablers of sustainable development of smart cities. MC-IoT refers to systems which exacerbate properties like availability, reliability, safety, and security in an application environment of heterogeneously connected physical things and virtual things whose failure could lead to severe consequences such as life loss. The sole characteristic of the mission-critical system is its compliance with real-time behavior. As a result of the critical nature of these systems, it is essential to design the system with sufficient clarity so that none of the requirements is misinterpreted. For this, the involvement of non-technical stakeholders and policymakers is crucial. Previous studies on mission-critical structures mainly focus on the communication overheads, and overlook the design and planning of them. Therefore, in this paper, we present an architecture which enables mission planning on a do-it-yourself plane. We present a task–object mapping and deployment model where different tasks are mapped onto virtual objects and deployed on physical hardware in a task–object pair. The system uses semantic knowledge for autonomous task mapping and suggestions to further aid the orchestration of the process. The tasks are autonomously mapped onto the devices based on the correlation index; this is computed based on the attribute similarities, thus making the system flexible. The performance of the proposed architecture is evaluated with different key performance indicators under different load conditions and the response time is found to be under a few seconds even at peak load conditions.
Highlights
The World Economic Forum (WEF) has a vision to shape a sustainable and reliable digital future, and the Internet of Things (IoT) is considered to be one of largest enablers for sustainable digital transformation [1]
The main motivation of the IoT is to enhance business processes concerning efficiency and costs in enterprise systems [6,7,8,9,10]. In such a smart space, which connects to the IoT is called an edge node which senses ambient scenarios and bridges the gap between the real world and networks [11]
The massive number of links enables the interaction between edge nodes in such IoT-empowered smart spaces
Summary
The World Economic Forum (WEF) has a vision to shape a sustainable and reliable digital future, and the Internet of Things (IoT) is considered to be one of largest enablers for sustainable digital transformation [1]. The design of mission-critical IoT, unlike traditional mission-critical systems, is very challenging because of the non-deterministic delays of networks It brings many benefits, as long as the missions are monitored and planned remotely without being on premises. The stakeholders of mission-critical applications are the general public who usually lack technical depth, and in order to enable them to tinker with the design and planning of these critical systems, a do-it-yourself (DIY) visual programming language needs to be adopted [20]. The DIY principal has been gaining popularity in recent years It enables the general public to design systems with zero coding and presents the architecture more robustly and cleanly.
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