A Queueing-Based Model Performance Evaluation for Internet of People Supported by Fog Computing

Laécio Rodrigues, Joel J. P. C. Rodrigues, Antonio de Barros Serra and Francisco Airton Silva
Additional contact information
Laécio Rodrigues: Computer Science Department, Universidade Federal do Piauí (UFPI), Teresina 64049-550, PI, Brazil
Joel J. P. C. Rodrigues: Research, Development and Innovation, Senac Faculty of Ceará, Fortaleza 60160-194, CE, Brazil
Antonio de Barros Serra: Covilhã Delegation, Instituto de Telecomunicações, 6201-001 Covilhã, Portugal
Francisco Airton Silva: Computer Science Department, Universidade Federal do Piauí (UFPI), Teresina 64049-550, PI, Brazil

Future Internet, 2022, vol. 14, issue 1, 1-18

Abstract: Following the Internet of Things (IoT) and the Internet of Space (IoS), we are now approaching IoP (Internet of People), or the Internet of Individuals, with the integration of chips inside people that link to other chips and the Internet. Low latency is required in order to achieve great service quality in these ambient assisted living facilities. Failures, on the other hand, are not tolerated, and assessing the performance of such systems in a real-world setting is difficult. Analytical models may be used to examine these types of systems even in the early phases of design. The performance of aged care monitoring systems is evaluated using an M/M/c/K queuing network. The model enables resource capacity, communication, and service delays to be calibrated. The proposed model was shown to be capable of predicting the system’s MRT (mean response time) and calculating the quantity of resources required to satisfy certain user requirements. To analyze data from IoT solutions, the examined architecture incorporates cloud and fog resources. Different circumstances were analyzed as case studies, with four main characteristics taken into consideration. These case studies look into how cloud and fog resources differ. Simulations were also run to test various routing algorithms with the goal of improving performance metrics. As a result, our study can assist in the development of more sophisticated health monitoring systems without incurring additional costs.

Keywords: health care monitoring; elderly; ambient assisted living; queueing model; performance evaluation (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1999-5903/14/1/23/pdf (application/pdf)
https://www.mdpi.com/1999-5903/14/1/23/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:14:y:2022:i:1:p:23-:d:720222

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().