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Joint Optimization of Response Time and Deployment Cost in Next-Gen IoT Applications (Summary)

(Artículo ya publicado)

Resumen:

The irruption of the Internet of Things (IoT) has attracted the interest of both the industry and academia for their application in intensive domains, such as healthcare. The strict Quality of Service (QoS) requirements of the next gener- ation of intensive IoT applications requires the QoS to be optimized considering the interplay of three key dimensions: computing, networking and application. This optimization requirement motivates the use of paradigms that provide vir- tualization, flexibility and programmability to IoT applications. In the com- puting dimension, paradigms such as edge or fog computing, Software-Defined Networks in the networking dimension, along with micro-services architectures for the application dimension, are suitable for QoS-strict IoT scenarios. In this work, we present a framework, named Next-gen IoT Optimization (NIoTO), that considers these three dimensions and their interplay to place micro-services and networking resources over an infrastructure, optimizing the deployment in terms of average response time and deployment cost. The evaluation of NIoTO in a healthcare case study reveals a response time speed-up of up to 5.11 and a reduction in cost of up to 9% with respect to other state-of-the-art techniques.

Palabras Clave:

Fog Computing - Internet of Things (IoT) - Quality of Service (QoS)

Autor(es):

Handle:

11705/JCIS/2022/008

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