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- Nikoui, T. S., et al.
(författare)
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Container-Based Load Balancing and Monitoring Approach in Fog Computing System
- 2022
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Ingår i: MELECON 2022 - IEEE Mediterranean Electrotechnical Conference, Proceedings. - : Institute of Electrical and Electronics Engineers Inc.. - 9781665442800 ; , s. 1159-1164
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Konferensbidrag (refereegranskat)abstract
- The Internet of Things has become a fast-growing area and has attracted considerable attention from the research communities. To provide satisfactory performance and efficiency in smart applications, it is inevitable to apply proper and efficient load balancing mechanisms. This paper presents a container-based load balancing and monitoring approach in fog-cloud environments. The presented architecture is composed of application services, message queuing system and online monitoring tools to address fault-detection, reliability, higher efficiency and scalability that are essential requirements of smart applications. In addition, an implementation of the proposed approach by using well-known technologies is presented, and the system is evaluated. Results indicate that using this model satisfies the requirements and can be considered as a practical solution to fog computing applications.
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| 2. |
- Nikoui, T. S., et al.
(författare)
-
Presenting an Edge-based Air Quality Management System for Smart City Scenarios
- 2023
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Ingår i: Int. Conf. Inf. Knowl. Technol., IKT. - : Institute of Electrical and Electronics Engineers Inc.. - 9798350349412 ; , s. 235-240
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Konferensbidrag (refereegranskat)abstract
- The IoT as a fast-growing topic attracts attention from the research communities and business owners since the IoT paradigm can improve the ease of life and present new opportunities. The smart city scenario offers technology-based facilities for citizens to enhance their quality of life, public safety, and disaster management. Smart city context includes multiple subsystems with massive numbers and different types of IoT devices. This study focuses on implementing an edge-based air quality management system and presents the requirement analysis phase as the first step to outline the essential requirements. Considering this phase, the presented architecture is defined to improve availability, scalability, and interoperability. Moreover, it provides data analysis and alerting functionalities. The system is implemented using open-source technologies to decrease the cost of development and improve time to market. In addition, several REST APIs are provided to achieve higher interoperability and more efficient integration. The system is evaluated using a real data set, and the presented results indicate that using this model can improve time efficiency while meeting non-functional requirements.
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