A review of edge computing reference architectures and a new global edge proposal

Sittón-Candanedo, Inés; Alonso, Ricardo S.; Corchado, Juan M.; González, Sara Rodríguez; Casado‐Vara, Roberto

doi:10.1016/j.future.2019.04.016

Cited by 176 publications

(126 citation statements)

References 36 publications

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“…Sittón-Candanedo et al [6] reviewed the main Edge Computing concepts and authors and four reference architectures proposed by the Edge Computing Consortium, Intel-SAP, the FAR-Edge Project and the Industrial Internet Consortium for Industry 4.0. On the basis of their review, the authors proposed a new Global Edge Computing Architecture.…”

Section: Resultsmentioning

confidence: 99%

“…Sittón-Candanedo et al [6] presented an in-depth review of Edge Computing architectures, focusing on the so-called Reference Architectures (RA). Firstly, they conducted an analysis of eight different definitions of Edge Computing, this has provided context for their study.…”

Section: Related Workmentioning

confidence: 99%

“…Sittón-Candanedo et al [6] presented a proposal for a tiered architecture with a modular approach that allowed for the management of complex solutions not only for Industry 4.0 environments but also for other scenarios such as smart cities, Smart Energy, healthcare, or precision agro-technology. The main contributions of the proposed architecture are the security and privacy offered by blockchain technologies.…”

Section: • Architecturesmentioning

confidence: 99%

“…Other studies worth mentioning, are those presented by Amadeo et al [76] and Li et al [77] which included algorithms and encryption packets for data security in an intermediate layer of the architecture. The paper presented by Sittón-Candanedo et al [6] described an architecture that includes Blockchain and data encryption in its three levels, however, the proposal would have been stronger if the authors had implemented Crypto-IoT boards in IoT devices, thus improving the system in terms of security, traceability, and data integrity. •…”

Section: • Architecturesmentioning

confidence: 99%

“…The term Smart Energy has evolved from the term Smart Grids [3,4]. While Smart Grids were focused solely on the area of electricity, the term Smart Energy also encompasses HVAC (heating, ventilation, and air-conditioning) systems [5], and the intelligent use of energy in Industry 4.0 [6], transportation [7], public buildings [8,9], and homes [10,11]. Smart Energy solutions involve the use of different disruptive technologies, including Artificial Intelligence (such as case-based reasoning systems [12], multi-agent systems) [13], Deep Learning [14]; Distributed • Layer 1 (IoT + Sensors): The first layer is formed by the IoT devices (sensors, smart-phones, relays, etc.)…”

Section: Introductionmentioning

confidence: 99%

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A Review on Edge Computing in Smart Energy by means of a Systematic Mapping Study

et al. 2019

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Context: Smart Energy is a disruptive concept that has led to the emergence of new energy policies, technology projects, and business models. The development of those models is driven by world capitals, companies, and universities. Their purpose is to make the electric power system more efficient through distributed energy generation/storage, smart meter installation, or reduction of consumption/implementation costs. This work approaches Smart Energy as a paradigm that is concerned with systemic strategies involving the implementation of innovative technological developments in energy systems. However, many of the challenges encountered under this paradigm are yet to be overcome, such as the effective integration of solutions within Smart Energy systems. Edge Computing is included in this new technology group. Objective: To investigate developments that involve the use of Edge Computing and that provide solutions to Smart Energy problems. The research work will be developed using the methodology of systematic mapping of literature, following the guidelines established by Kitchenham and Petersen that facilitate the identification of studies published on the subject. Results: Inclusion and exclusion criteria have been applied to identify the relevant articles. We selected 80 papers that were classified according to the type of publication (journal, conferences, or book chapter), type of research (conceptual, experience, or validation), type of activity (implement, validate, analyze) and asset (architecture, framework, method, or models). Conclusion: A complete review has been conducted of the 80 articles that were closely related to the questions posed in this research. To reach the goal of building Edge Computing architectures for Smart Energy environments, several lines of research have been defined. In the future, such architectures will overcome current problems, becoming highly energy-efficient, cost-effective, and capacitated to process and respond in real-time.Electronics 2020, 9, 48 2 of 33 Ledger Technologies (such as blockchain) [15]; or distributed sensing and actuation technologies such as the Internet of Things (IoT) [3,16].Regarding the Internet of Things (IoT), its recognition as a paradigm dates back to 2011-2012, when renowned companies and institutions such as Gartner, Forbes, or Wired started using this term to refer to the emerging technology [17]. The Internet of Things implies the connection of different heterogeneous objects, including buildings, machinery, vehicles, and electronic devices, such as sensors and actuators interconnected by means of communication protocols and forming wireless or wired networks [18] to collect information and extract knowledge [19]. Since then, the scope of IoT has spread throughout a great variety of environments and disciplines, including solutions for development of Smart Cities [20,21], Industry 4.0 [22][23][24], transportation and logistics [25,26], smart homes and hotels [13,27,28] or, more relevant to this research, energy efficiency [8,29,30]. IoT provid...

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Section: Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: • Architecturesmentioning

confidence: 99%