Edge Computing: A Comprehensive Survey of Current Initiatives and a Roadmap for a Sustainable Edge Computing Development

Hamm, Andrea; Willner, Alexander; Schieferdecker, Ina

doi:10.30844/wi_2020_g1-hamm

Cited by 12 publications

(4 citation statements)

References 23 publications

(28 reference statements)

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“…With the decentralization of storage and processing capabilities, EC can process growing numbers of IoT applications, data generation, storage, and network traffic more effectively [60]. System-on-chip (SoC) nodes can be programmed for applications like image or video processing facilitating high speed and parallel computation, which is critical for such applications [61].…”

Section: Edge Computing Engineering Challengesmentioning

confidence: 99%

Non-functional requirements elicitation for edge computing

Gupta

2022

Internet of Things

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Section: Edge Computing Engineering Challengesmentioning

confidence: 99%

Non-functional requirements elicitation for edge computing

Gupta

2022

Internet of Things

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“…and energy considerations need further research and to be integrated into the overall architecting of future edgebased CPS. As stated in [33], the sustainable developments generally only receive litle atention within the framework of edge computing. Hence, the sustainability should be incorporated in the development of edge computing.…”

Section: Recommendations and Future Workmentioning

confidence: 99%

Edge Computing for Cyber-physical Systems: A Systematic Mapping Study Emphasizing Trustworthiness

Sánchez

Jörgensen

Törngren

et al. 2022

ACM Trans. Cyber-Phys. Syst.

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Edge computing is projected to have profound implications in the coming decades, proposed to provide solutions for applications such as augmented reality, predictive functionalities, and collaborative Cyber-Physical Systems (CPS). For such applications, edge computing addresses the new computational needs, as well as privacy, availability, and real-time constraints, by providing local high-performance computing capabilities to deal with the limitations and constraints of cloud and embedded systems. Edge computing is today driven by strong market forces stemming from IT/cloud, telecom, and networking - with corresponding multiple interpretations of ”edge computing” (e.g. device edge, network edge, distributed cloud, etc.). Considering the strong drivers for edge-computing and the relative novelty of the field, it becomes important to understand the specific requirements and characteristics of edge-based CPS, and to ensure that research is guided adequately, e.g. avoiding specific gaps. Our interests lie in the applications of edge computing as part of CPS, where several properties (or attributes) of trustworthiness, including safety, security, and predictability/availability are of particular concern, each facing challenges for the introduction of edge-based CPS. We present the results of a systematic mapping study, a kind of systematic literature survey, investigating the use of edge computing for CPS with a special emphasis on trustworthiness. The main contributions of this study are a detailed description of the current research efforts in edge-based CPS and the identification and discussion of trends and research gaps. The results show that the main body of research in edge-based CPS only to a very limited extent consider key attributes of system trustworthiness, despite many efforts referring to critical CPS and applications like intelligent transportation. More research and industrial efforts will be needed on aspects of trustworthiness of future edge-based CPS including their experimental evaluation. Such research needs to consider the multiple interrelated attributes of trustworthiness including safety, security, and predictability, and new methodologies and architectures to address them. It is further important to provide bridges and collaboration between edge computing and CPS disciplines.

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“…For example, within ETSI the MEC working group has published over 35 specifications since 2015, with [3] being the latest one, and within the IEC the topic of Edge Intelligence was discussed in [6]. A broader overview, with a focus on sustainability, is given by the authors in [5]. In this paper, an earlier version of the RAMEC model has briefly been described for the first time, however, not to the extent of this publication.…”

Section: Standardizationmentioning

confidence: 99%

Toward a Reference Architecture Model for Industrial Edge Computing

Willner

Gowtham

2020

IEEE Comm. Stand. Mag.

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In the context of the digital transformation of the industry, whole value chains get connected across various application domains; as long as economic, ecologic, or social benefits arise to do so. Under the umbrella of the Industrial Internet of Things (IIoT), traditional Operational Technology (OT) approaches are replaced or at least augmented by Information and Communication Technology (ICT) systems to facilitate this development.To meet industrial requirements, for example, related to privacy, determinism, latency, or autonomy, established Cloud Computing mechanisms are being moved closer to data sources and actuators. Depending on the context, this distributed Cloud Computing paradigm is named Edge Computing or Fog Computing and various challenges have been subject to several publications. However, a proper reference model that describes the multi-dimensional problem space which is being spanned by this paradigm, seems still to be undefined. Such a model should provide orientation, put work in relation and support the identification of current and future research issues. This paper aims to fill this gap with a focus on industrial automation and follows analog models that have been developed for specific domains such as the Smart Grid Architecture Model (SGAM) and the Reference Architecture Model Industrie 4.0 (RAMI4.0). The proposed Reference Architecture Model Edge Computing (RAMEC) identifies 210 views on the Edge Computing paradigm in the manufacturing domain. Future iterations of this model might be used for the classification of relevant research, standardization, and development activities.

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Edge Computing: A Comprehensive Survey of Current Initiatives and a Roadmap for a Sustainable Edge Computing Development

Cited by 12 publications

References 23 publications

Non-functional requirements elicitation for edge computing

Non-functional requirements elicitation for edge computing

Edge Computing for Cyber-physical Systems: A Systematic Mapping Study Emphasizing Trustworthiness

Toward a Reference Architecture Model for Industrial Edge Computing

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