Declarative Construction of Distributed Event-driven IoT Services Based on IoT Resource Models

Zhang, Yang; Chen, Junliang

doi:10.1109/tsc.2017.2782794

Cited by 7 publications

(2 citation statements)

References 35 publications

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“…It could schedule the microservices dynamically to minimize the total network deploy and average price, improve network throughput. Zhang et al [31] proposed IoT services for IoT resources, they utilized an event-based business process modeling approach to visually depict actions of IoT services based on declarative principles. The service behavior framework was refined to simulate a realistic environment by configuring resource instances and binding specific services.…”

Section: Related Workmentioning

confidence: 99%

A Service-Based Cloud-Edge Fusion Approach for Abnormality Detection of Power Generation Equipment

Yang,

Duan,

Song

et al. 2024

IEEE Access

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Abnormality detection of power generation equipment is of great significance in enhancing equipment reliability. In the era of Industry 4.0, with the rapid development and extensive application of IoT and sensor technology, large-scale sensing devices are deployed in power plants, resulting in a vast amount of sensor streaming data. The emergence of edge computing enables the streaming data processing and computation on edge devices. It reduces the latency of streaming data processing and improves throughput. However, those edge nodes are heterogeneous, decentralized, and capacity-constrained edge nodes. Moreover, the conventional cloud-edge model exhibits some characteristics such as tight coupling of data and computing, hard to deal with temporally varying continuity, and lack of flexibility. It poses significant challenges to detect normality and provide anomaly warning of power generation equipment. In order to deal with those challenges, we propose a service-oriented approach for fusing cloud-edge capabilities. Firstly, we encapsulated the streaming data and its processing into suitable granular service, serving as fundamental units for basic streaming data processing. These services can be deployed independently and flexibly scheduled in cloud-edge environment to facilitate the development of IoT application systems by developers. The services help to decouple the streaming data and its computing. Secondly, we proposed an event-driven mechanism to enable dynamic collaboration among services, allowing proactive response to events and adaptive adjustment of logic for streaming data processing to cope with the dynamics of IoT and time-varying logic of streaming data processing. This enhances service deployment flexibility, reduces latency in streaming data processing and improved the efficiency. Finally, based on the actual scenario of the fire power plants, we validated the feasibility and effectiveness in detecting equipment abnormalities by using our proposed cloud-edge fusion approach. We compared our proposed approach with three typical streaming data processing architectures including Cloud, iFogSim and PureEdgeSim from processing latency and system throughput. It reduced the latency remarkably with an average reduction of about 78%, 22%, and 16%. It improved system throughput of about 57%, 17%, and 14%.

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Section: Related Workmentioning

confidence: 99%

A Service-Based Cloud-Edge Fusion Approach for Abnormality Detection of Power Generation Equipment

Yang,

Duan,

Song

et al. 2024

IEEE Access

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“…Klimushin, Roe, and Kolisnyk [16,17], as well as Boer, Bosco, Ugarelli, and Yaatun [18,19], [20] have called for standardization and the development of a robust certification infrastructure to increase interoperability of IoT devices, thereby reducing security risks. Their discussions emphasize the need to establish industry-wide standards and certification processes to ensure that devices from different manufacturers can communicate and operate seamlessly in the same ecosystem.…”

Section: Literature Reviewmentioning

confidence: 99%

Study of the method of controlling the compatibility of Internet of Things devices based on the MQTT application layer protocol

Timenko,

Shkarupylo,

Kulykovska

et al. 2024

HAIT

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Amid the rapid development of the Internet of Things and its impact on various areas of life, ensuring compatibility between different system components is becoming an urgent task. This is especially important in the context of developing and integrating Internet of Things systems with a high level of diversity and dynamism. In this article, we consider the problem of interoperability of Internet of Things components, focusing on application layer protocols that are key to ensuring intercomponent interaction. The main purpose of the article is to develop and validate a model that will optimize the processes of interaction between system components, taking into account the specifics of protocols. The model is based on the use of temporal action logic, which provides formal verification of interactions between components and allows identifying potential compatibility problems at the early stages of development. The developed model has been tested using a software simulator that allows simulating various scenarios of interaction in the Internet of Things network. The experimental results demonstrate the effectiveness of the proposed methodology in increasing the level of interoperability between system components, which in turn reduces the risks of data loss and ensures the stability of Internet of Things systems. Due to the in-depth analysis and development of specialized methods and tools, this study makes a significant contribution to the development of theoretical and practical aspects of interoperability. However, to further improve the accuracy and versatility of the model, additional empirical studies with a larger data set are recommended.

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Service-Based Event Penetration from IoT Sensors to Businesses: a Case Study

Wang

Fang

Wang

et al. 2022

2022 International Conference on Service Science (ICSS)

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Declarative Construction of Distributed Event-driven IoT Services Based on IoT Resource Models

Cited by 7 publications

References 35 publications

A Service-Based Cloud-Edge Fusion Approach for Abnormality Detection of Power Generation Equipment

A Service-Based Cloud-Edge Fusion Approach for Abnormality Detection of Power Generation Equipment

Study of the method of controlling the compatibility of Internet of Things devices based on the MQTT application layer protocol

Service-Based Event Penetration from IoT Sensors to Businesses: a Case Study

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