Edge Computing: Vision and Challenges

Shi, Weisong; Cao, Jie; Zhang, Quan; Li, Youhuizi; Xu, Lanyu

doi:10.1109/jiot.2016.2579198

Cited by 5,833 publications

(2,569 citation statements)

References 23 publications

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“…The fog computing focuses procession efforts within the network, between the end devices and the traditional cloud computing data centers [34]. On the other hand, edge computing pushes the processing even closer to the data sources, and it allows every device on the edge to process information [7]. Though, edge and fog are different computing concepts, they do have common goals, therefore edge and fog computing can be considered as the two different sides of the same coin.…”

Section: Dependability Requirementsmentioning

confidence: 99%

“…Edge and fog computing as specific areas of cloud computing intend to improve the design of cloud applications by organising processing closer to the data sources at the edge of the network [7], thus, reducing communications latency and improving reliability and other aspects. Hence, due to the nature of the edge computing concept, it may be necessary for construction companies to invest in some computing and networking infrastructures to be able to support the operation of smart IoT applications.…”

Section: Introductionmentioning

confidence: 99%

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Supporting smart construction with dependable edge computing infrastructures and applications

Kochovski

Stankovski

2018

Automation in Construction

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The Internet of Things (IoT) such as the use of robots, sensors, actuators, electronic signalization and a variety of other Internet enabled physical devices may provide for new advanced smart applications to be used in construction in very near future. Such applications require real-time responses and are therefore time-critical. Therefore, in order to support collaboration, control, monitoring, supply management, safety and other construction processes, they have to meet dependability requirements, including requirements for high Quality of Service (QoS). Dependability and high QoS can be achieved by using adequate number and quality of computing resources, such as processing, memory and networking elements, geographically close to the smart environments. The goal of this study is to develop a practical edge computing architecture and design, which can be used in to support smart construction environments with high QoS. This study gives particular attention to the solution design, which relies on latest cloud and software engineering approaches and technologies, and provides elasticity, interoperability and adaptation to companies' specific needs. Two edge computing applications supporting video communications and construction process documentation are developed and demonstrate a viable edge computing design for smart construction.

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Section: Dependability Requirementsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Supporting smart construction with dependable edge computing infrastructures and applications

Kochovski

Stankovski

2018

Automation in Construction

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“…( 3 ) In addition, from the view point of service developers, it is necessary to have a good eco system that invites good applications from third party developers. Similarly, Shi et al [19] list the optimization metrics as follows: (a) Latency, caused by both computation and networking (especially WAN delay), (b) Bandwidth, (c) Energy consumption on c 2018 Information Processing Society of Japan user devices, which is tradeoff between the computation energy consumption and transmission energy consumption, and lastly, (d) Cost to build and maintain, while the improved user experience can result in higher revenue.…”

Section: Definition Of Edge Computingmentioning

confidence: 99%

Multi-access Edge Computing: A Survey

Tanaka

Yoshida

Möri

et al. 2018

Journal of Information Processing

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Multi-access Edge Computing (MEC) can be defined as a model for enabling business oriented, cloud computing platform within multiple types of the access network (e.g., LTE, 5G, WiFi, FTTH, etc.) at the close proximity of subscribers to serve delay sensitive, context aware applications. To pull out the most of the potential, MEC has to be designed as infrastructure, to support many kind of IoT applications and their eco system, in addition to sufficiently management mechanism. In this context, various research and standardization efforts are ongoing. This paper provides a comprehensive survey of the state-of-the-art research efforts on MEC domain, with focus on the architectural proposals as infrastracture, the issue of the partitioning of processing among the user devices, edge servers, and a cloud, and the issue of the resource management.

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“…Context-aware computation and smart connectivity allow intelligence to be incorporated into IoT [17], and growing to become an Internet of Anything and Everything [9]. This augments Cloud computing with the notion of Edge computing [20] mitigating the need for transferring and processing data in the cloud, instead data is processed much closer to its source.…”

Section: Background and Motivationmentioning

confidence: 99%

Massive-Scale Automation in Cyber-Physical Systems: Vision & Challenges

McKee

Clement

Almutairi

et al. 2017

2017 IEEE 13th International Symposium on Autonomous Decentralized System (ISADS)

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Abstract-The next era of computing is the evolution of the Internet of Things (IoT) and Smart Cities with development of the Internet of Simulation (IoS). The existing technologies of Cloud, Edge, and Fog computing as well as HPC being applied to the domains of Big Data and deep learning are not adequate to handle the scale and complexity of the systems required to facilitate a fully integrated and automated smart city. This integration of existing systems will create an explosion of data streams at a scale not yet experienced. The additional data can be combined with simulations as services (SIMaaS) to provide a shared model of reality across all integrated systems, things, devices, and individuals within the city. There are also numerous challenges in managing the security and safety of the integrated systems. This paper presents an overview of the existing stateof-the-art in automating, augmenting, and integrating systems across the domains of smart cities, autonomous vehicles, energy efficiency, smart manufacturing in Industry 4.0, and healthcare. Additionally the key challenges relating to Big Data, a model of reality, augmentation of systems, computation, and security are examined.

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Edge Computing: Vision and Challenges

Cited by 5,833 publications

References 23 publications

Supporting smart construction with dependable edge computing infrastructures and applications

Supporting smart construction with dependable edge computing infrastructures and applications

Multi-access Edge Computing: A Survey

Massive-Scale Automation in Cyber-Physical Systems: Vision & Challenges

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