Edge Computing Simulators for IoT System Design: An Analysis of Qualities and Metrics

Ashouri, Majid; Lorig, Fabian; Davidsson, Paul; Spalazzese, Romina

doi:10.3390/fi11110235

Cited by 36 publications

(16 citation statements)

References 29 publications

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“…Each category has: (1) a unique identifier that replaces the answers mapped to it and is statistically analyzed afterward; (2) a textual description to specify the definition of the category [22]. For example, many countries have slightly different denominations (e.g., 4 http://sepl.dibris.unige.it/2020-ICSA-Survey-Deployment-IoT-Sys.php US, USA, or The United States), [mis]spelled in different cases. Thus, the answers to the question about the country where respondents currently work may be different though denoting the same country.…”

Section: B Phase 2 -Survey Designmentioning

confidence: 99%

“…The number of connected things is rapidly increasing 1 and IoT applications are widely used in various domains, such as industrial and building automation, health care, transportation, and logistics [5], [23]. Similarly to traditional software systems, designing the architecture of an IoT system encompasses several aspects, including modeling the system's software components and their interconnections, specifying the hardware infrastructure required to host the system, and deciding where to deploy the software components within the hardware infrastructure [4], [19].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

On the Deployment of IoT Systems: An Industrial Survey

Alkhabbas

Spalazzese

Cerioli³

et al. 2020

2020 IEEE International Conference on Software Architecture Companion (ICSA-C)

Self Cite

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Internet of Things (IoT) systems are complex and multifaceted, and the design of their architectures needs to consider many aspects at a time. Design decisions concern, for instance, the modeling of software components and their interconnections, as well as where to deploy the components within the available hardware infrastructure in the Edge-Cloud continuum. A relevant and challenging task, in this context, is to identify optimal deployment models due to all the different aspects involved, such as extra-functional requirements of the system, heterogeneity of the hardware resources concerning their processing and storage capabilities, and constraints like legal issues and operational cost limits. To gain insights about the deployment decisions concerning IoT systems in practice, and the factors that influence those decisions, we report about an industrial survey we conducted with 66 IoT architects from 18 countries across the world. Each participant filled in a questionnaire that comprises 15 questions. By analyzing the collected data, we have two main findings: (i) architects rely on the Cloud more than the Edge for deploying the software components of IoT systems, in the majority of the IoT application domains; and (ii) the main factors driving deployment decisions are four: reliability, performance, security, and cost.

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Section: B Phase 2 -Survey Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

On the Deployment of IoT Systems: An Industrial Survey

Alkhabbas

Spalazzese

Cerioli³

et al. 2020

2020 IEEE International Conference on Software Architecture Companion (ICSA-C)

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, none of these works present countermeasures of threats and attacks based on ubiquitous technology such as BC, FC, EC, and ML. Such ubiquitous technologies in analyzing the threats and attacks have been surveyed in scattered ways by the authors in [27][28][29][30][31][32][33][34][35][36][37]. A comprehensive review of all these technologies to combat IoT threats and attacks is not available.…”

Section: Comparison With Existing Surveysmentioning

confidence: 99%

State-of-the-Art Review on IoT Threats and Attacks: Taxonomy, Challenges and Solutions

et al. 2021

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The Internet of Things (IoT) plays a vital role in interconnecting physical and virtual objects that are embedded with sensors, software, and other technologies intending to connect and exchange data with devices and systems around the globe over the Internet. With a multitude of features to offer, IoT is a boon to mankind, but just as two sides of a coin, the technology, with its lack of securing information, may result in a big bane. It is estimated that by the year 2030, there will be nearly 25.44 billion IoT devices connected worldwide. Due to the unprecedented growth, IoT is endangered by numerous attacks, impairments, and misuses due to challenges such as resource limitations, heterogeneity, lack of standardization, architecture, etc. It is known that almost 98% of IoT traffic is not encrypted, exposing confidential and personal information on the network. To implement such a technology in the near future, a comprehensive implementation of security, privacy, authentication, and recovery is required. Therefore, in this paper, the comprehensive taxonomy of security and threats within the IoT paradigm is discussed. We also provide insightful findings, presumptions, and outcomes of the challenges to assist IoT developers to address risks and security flaws for better protection. A five-layer and a seven-layer IoT architecture are presented in addition to the existing three-layer architecture. The communication standards and the protocols, along with the threats and attacks corresponding to these three architectures, are discussed. In addition, the impact of different threats and attacks along with their detection, mitigation, and prevention are comprehensively presented. The state-of-the-art solutions to enhance security features in IoT devices are proposed based on Blockchain (BC) technology, Fog Computing (FC), Edge Computing (EC), and Machine Learning (ML), along with some open research problems.

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“…All these simulators have been designed without keeping the edge environment needs in mind. Although there are certainly some available simulators supporting edge computing such as CloudSim (iFogSim , EdgeCloudSim, and IoTSim), FogTorch (FogTorch II), OmNeT++ (FogNetSim++) and MiniNet (EmuFog) [139], [140]. Thus, edge computing is in a critical need of simulation platforms addressing the maximum number of characteristics and optimization matrices identified by [140], [141].…”

Section: ) Simulation Platformsmentioning

confidence: 99%