Self-organising Clusters in Edge Computing

Nogueira, Luís; Coelho, Jorge

doi:10.1007/978-3-030-30329-7_29

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2021

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“…Given the ubiquity of internet of things (IoT) devices and their strong proliferation [1] many opportunities appear in exploring their potentialities, namely their connectivity and computational power [2]. It is well known that the quantity of data produced by a variety of data sources and sent to end systems to further processing is growing significantly, increasingly demanding more processing power.…”

Section: Introductionmentioning

confidence: 99%

Enabling Processing Power Scalability with Internet of Things (IoT) Clusters

Coelho

Nogueira

2021

Electronics

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Internet of things (IoT) devices play a crucial role in the design of state-of-the-art infrastructures, with an increasing demand to support more complex services and applications. However, IoT devices are known for having limited computational capacities. Traditional approaches used to offload applications to the cloud to ease the burden on end-user devices, at the expense of a greater latency and increased network traffic. Our goal is to optimize the use of IoT devices, particularly those being underutilized. In this paper, we propose a pragmatic solution, built upon the Erlang programming language, that allows a group of IoT devices to collectively execute services, using their spare resources with minimal interference, and achieving a level of performance that otherwise would not be met by individual execution.

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Section: Introductionmentioning

confidence: 99%