A Survey: Integration of IoT and Fog Computing

Jalasri, M.; Lakshmanan, L.

doi:10.1109/icgciot.2018.8753010

Cited by 10 publications

(1 citation statement)

References 17 publications

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“…Almost every minute of our waking day is somehow influenced (or controlled) by our phones and smart devices [1]. This influence is expected to grow dramatically in the near future due to the proliferation of automotive [2], wearable [3], and other emerging IoT-related applications [4] which are set to permeate every aspect of our existence. This substantial transformation of human society relies on ever-more advanced communication networks to enable the near-instant transportation of massive amounts of data from the billions of connected devices [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Evolutionary Autonomous Networks

Harvey

Tatar

Imai

et al. 2021

JICTS

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The communication networks of today can greatly benefit from autonomous operation and adaptation, not only due to the implicit cost savings, but also because autonomy will enable functionalities that are infeasible today. Across industry, academia and standardisation bodies there has been an increased interest in achieving the autonomous goal, but a path on how to attain this goal is still unclear. In this paper we present our vision for the future of autonomous networking. We introduce the concepts and technological means to achieve autonomy and propose an architecture which emerges directly through the application of these concepts, highlighting opportunities and challenges for standardisation. We argue that only a holistic architecture based on hierarchies of hybrid learning, functional composition, and online experimental evaluation is expressive and capable enough to realise true autonomy within communication networks.

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