Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/17322
Title: IoT Serverless Computing at the Edge: A Systematic Mapping Review
Authors: Kjorveziroski, Vojdan 
Filiposka, Sonja 
Trajkovikj, Vladimir 
Keywords: serverless computing; edge computing; function as a service; Internet of Things; systematic review
Issue Date: Oct-2021
Publisher: Multidisciplinary Digital Publishing Institute
Source: Kjorveziroski, V.; Filiposka, S.; Trajkovik, V. IoT Serverless Computing at the Edge: A Systematic Mapping Review. Computers 2021, 10, 130. https://doi.org/10.3390/computers10100130
Journal: Computers
Abstract: Serverless computing is a new concept allowing developers to focus on the core functionality of their code, while abstracting away the underlying infrastructure. Even though there are existing commercial serverless cloud providers and open-source solutions, dealing with the explosive growth of new Internet of Things (IoT) devices requires more efficient bandwidth utilization, reduced latency, and data preprocessing closer to the source, thus reducing the overall data volume and meeting privacy regulations. Moving serverless computing to the edge of the network is a topic that is actively being researched with the aim of solving these issues. This study presents a systematic mapping review of current progress made to this effect, analyzing work published between 1 January 2015 and 1 September 2021. Using a document selection methodology which emphasizes the quality of the papers obtained through querying several popular databases with relevant search terms, we have included 64 entries, which we then further categorized into eight main categories. Results show that there is an increasing interest in this area with rapid progress being made to solve the remaining open issues, which have also been summarized in this paper. Special attention is paid to open-source efforts, as well as open-access contributions.
URI: http://hdl.handle.net/20.500.12188/17322
DOI: 10.3390/computers10100130
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles

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