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.
Highlights
The ever increasing progress in hardware development and computer networking paved the way for the introduction of cloud computing, which in turn has led to a new revolution, allowing computing capacity to be perceived as just another utility, used ondemand, with virtually limitless capacity [1]
To allow regular users to benefit from such vast computing capacity, additional abstractions are introduced, in the form of infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) offerings
IaaS provides the lowest level of abstraction, allowing users to rent computing, networking, and storage capacity on-demand, usually in the form of virtual machines (VMs), and utilize them as they see fit, building their own infrastructure on top
Summary
The ever increasing progress in hardware development and computer networking paved the way for the introduction of cloud computing, which in turn has led to a new revolution, allowing computing capacity to be perceived as just another utility, used ondemand, with virtually limitless capacity [1]. Both academia and industry have invested in the creation of different cloud computing infrastructure, depending on their needs, currently available resources, and cost, resulting in the deployment of various private, public, community, and hybrid clouds [2]. To allow regular users to benefit from such vast computing capacity, additional abstractions are introduced, in the form of infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) offerings. SaaS, aimed at end-users, provides the highest level of abstraction, where the service being offered is a finished software product, ready to be used, without any additional requirements in terms of maintenance, updates, or management
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