Edge computing: A survey

Khan, Wazir Zada; Ahmed, Ejaz; Hakak, Saqib; Yaqoob, Ibrar; Ahmed, Arif

doi:10.1016/j.future.2019.02.050

Cited by 844 publications

(366 citation statements)

References 69 publications

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“…Several surveys pertaining to edge computing have been conducted in [24], [31]- [41]. In [31], the authors discussed [31] Shaukat et al , [32] Ai et al, [33] Mouradian et al , [34] Hu et al , [35] Taleb et al , [36] Abbas et al , [24] Roman et al , [37] Mao et al , [38] Khan et al , [39] Hassan et al , [40] Yu et al , [41] Gharaibeh et al , [42] Lim et al , [43] Alavi et al , [44] Silva et al , [45] Our Survey different edge computing paradigms, such as cloudlets, mobile edge computing, and fog computing. Additionally, they discussed applications and summarized the architectures of state-of-the-art edge computing paradigms.…”

Section: Edge Computing Surveysmentioning

confidence: 99%

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Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

Khan

Yaqoob

Tran

et al. 2020

IEEE Internet Things J.

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300

131

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Recent years have disclosed a remarkable proliferation of compute-intensive applications in smart cities. Such applications continuously generate enormous amounts of data which demand strict latency-aware computational processing capabilities. Although edge computing is an appealing technology to compensate for stringent latency related issues, its deployment engenders new challenges. In this survey, we highlight the role of edge computing in realizing the vision of smart cities. First, we analyze the evolution of edge computing paradigms. Subsequently, we critically review the state-of-the-art literature focusing on edge computing applications in smart cities. Later, we categorize and classify the literature by devising a comprehensive and meticulous taxonomy. Furthermore, we identify and discuss key requirements, and enumerate recently reported synergies of edge computing enabled smart cities. Finally, several indispensable open challenges along with their causes and guidelines are discussed, serving as future research directions.

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Section: Edge Computing Surveysmentioning

confidence: 99%

“…Along with this, open research challenges are also discussed. In [39], Khan et al presented survey on edge computing. They have discussed different edge computing paradigms, such as cloudlets, mobile edge computing, and fog computing.…”

Section: Edge Computing Surveysmentioning

confidence: 99%

Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

Khan

Yaqoob

Tran

et al. 2020

IEEE Internet Things J.

Self Cite

300

131

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“…b) Intelligent applications and services, such as smart transportation, smart home, smart people, smart health, smart sea monitoring, and smart meters. Reproduced with permission . Copyright 2019, Elsevier.…”

Section: Machine Learning and Edging Computingmentioning

confidence: 99%

“…The effective interaction and collaboration across different levels and units are vital to the intelligent collaborative computing architecture. The multi‐tier computing network architecture provides a promising solution for future intelligent applications and services, such as smart transportation, smart home, smart people, smart health, smart sea monitoring, and smart meters (Figure b) …”

Section: Machine Learning and Edging Computingmentioning

confidence: 99%

Cyber–Physiochemical Interfaces

et al. 2020

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Living things rely on various physical, chemical, and biological interfaces, e.g., somatosensation, olfactory/gustatory perception, and nervous system response. They help organisms to perceive the world, adapt to their surroundings, and maintain internal and external balance. Interfacial information exchanges are complicated but efficient, delicate but precise, and multimodal but unisonous, which has driven researchers to study the science of such interfaces and develop techniques with potential applications in health monitoring, smart robotics, future wearable devices, and cyber physical/human systems. To understand better the issues in these interfaces, a cyber–physiochemical interface (CPI) that is capable of extracting biophysical and biochemical signals, and closely relating them to electronic, communication, and computing technology, to provide the core for aforementioned applications, is proposed. The scientific and technical progress in CPI is summarized, and the challenges to and strategies for building stable interfaces, including materials, sensor development, system integration, and data processing techniques are discussed. It is hoped that this will result in an unprecedented multi‐disciplinary network of scientific collaboration in CPI to explore much uncharted territory for progress, providing technical inspiration—to the development of the next‐generation personal healthcare technology, smart sports‐technology, adaptive prosthetics and augmentation of human capability, etc.

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“…The European Telecommunications Standards Institute (ETSI) introduced the concept of MEC, where mobile users can utilize computing services from the base station [2]. Since MEC is an extension of edge computing, it is expedient to give some background information on edge computing.…”

Section: Introductionmentioning

confidence: 99%

Mobile Edge Computing

Sadiku¹,

Kotteti²,

Musa³

2019

GJCST

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Mobile applications are becoming increasingly computationalintensive, while many mobile devices still have limited battery power and cannot support computational intensive tasks. Mobile edge computing (MEC) computing is an extension of edge computing, and it refers to computing at the edge of a network. In mobile edge computing, computing and storage nodes are placed at the Internet's edge near mobile devices. It places the edge clouds at the candidate locations. This paper presents a brief introduction to MEC.Abstract-Mobile applications are becoming increasingly computational-intensive, while many mobile devices still have limited battery power and cannot support computational intensive tasks. Mobile edge computing (MEC) computing is an extension of edge computing, and it refers to computing at the edge of a network. In mobile edge computing, computing and storage nodes are placed at the Internet's edge near mobile devices. It places the edge clouds at the candidate locations. This paper presents a brief introduction to MEC.

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Edge computing: A survey

Cited by 844 publications

References 69 publications

Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

Cyber–Physiochemical Interfaces

Mobile Edge Computing

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