Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Cardoso, P, Moura, J. & Marinheiro, R. N. (2023). Elastic provisioning of network and computing resources at the edge for IoT services. Sensors. 23 (5)
Exportar Referência (IEEE) 
P. Cardoso et al.,  "Elastic provisioning of network and computing resources at the edge for IoT services", in Sensors, vol. 23, no. 5, 2023
Exportar BibTeX 
@article{cardoso2023_1734977333718,
	author = "Cardoso, P and Moura, J. and Marinheiro, R. N.",
	title = "Elastic provisioning of network and computing resources at the edge for IoT services",
	journal = "Sensors",
	year = "2023",
	volume = "23",
	number = "5",
	doi = "10.3390/s23052762",
	url = "https://www.mdpi.com/journal/sensors/sections/sensornetworks"
}
Exportar RIS 
TY  - JOUR
TI  - Elastic provisioning of network and computing resources at the edge for IoT services
T2  - Sensors
VL  - 23
IS  - 5
AU  - Cardoso, P
AU  - Moura, J.
AU  - Marinheiro, R. N.
PY  - 2023
SN  - 1424-8220
DO  - 10.3390/s23052762
UR  - https://www.mdpi.com/journal/sensors/sections/sensornetworks
AB  - The fast growth of Internet-connected embedded devices demands new system capabilities at the network edge, such as provisioning local data services on both limited network and computational resources. The current contribution addresses the previous problem by enhancing the usage of scarce edge resources. It designs, deploys, and tests a new solution that incorporates the positive functional advantages offered by software-defined networking (SDN), network function virtual-ization (NFV), and fog computing (FC). Our proposal autonomously activates or deactivates embedded virtualized resources, in response to clients’ requests for edge services. Complementing existing literature, the obtained results from extensive tests on our programmable proposal show the superior performance of the proposed elastic edge resource provisioning algorithm, which also assumes a SDN controller with proactive OpenFlow behavior. According to our results, the maximum flow rate for the proactive controller is 15% higher; the maximum delay is 83% smaller; and the loss is 20% smaller compared to when the non-proactive controller is in operation. This improvement in flow quality is complemented by a reduction in control channel workload. The controller also records the time duration of each edge service session, which can enable the ac-counting of used resources per session.
ER  -