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A Middleware for Mobile Edge Computing
IEEE Cloud Computing, 2017Telecom operators have recently started to deploy massive computing and storage resources at the very edge of their access networks, hence evolving their infrastructures into large, distributed, and capillary computing environments, capable of placing applications very close to users and terminals and well-suited to effectively fulfill the challenging ...
Carrega A. +3 more
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An Introduction to Edge Computing
2021With the continuous development of the Internet of Things (IoTs) applications, such as smart cities and intelligent transportation, and the rapid development of location-aware and context-aware services, the number of IoTs equipment connections and data generated demonstrate massive growth trends.
Longxiang Gao +4 more
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Computation at the Edge with WebAssembly
2021The introduction of WebAssembly in 2017 opened a new door for performing computation in the browser at 0.9 the speed of C/C++ code (Haas et al. ACM SIGPLAN Notices 52(6), 185–200, 2017). As browsers are the most ubiquitous software, it is now possible to build universal applications that run on every machine that has a web browser installed on it.
C. Edward Chow, Jebreel Alamari
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IEEE INFOCOM 2020 - IEEE Conference on Computer Communications, 2020
Running intensive compute tasks across the fifth generation mobile network of edge devices introduces distributed computing challenges: edge devices are heterogeneous in the compute, storage, and communication capabilities; and can exhibit unpredictable straggler effects and failures.
Kwang Taik Kim +2 more
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Running intensive compute tasks across the fifth generation mobile network of edge devices introduces distributed computing challenges: edge devices are heterogeneous in the compute, storage, and communication capabilities; and can exhibit unpredictable straggler effects and failures.
Kwang Taik Kim +2 more
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Enhancing Mobile Edge Computing Architecture with Human-Driven Edge Computing Model
2018 14th International Conference on Intelligent Environments (IE), 2018In an increasingly interconnected world, mobile and wearable devices, through short range communication interfaces and sensors, become needful tools for collecting and disseminating information in high population density environments. In this context Mobile Crowdsensing (MCS), leveraging people's roaming and their devices' resources, raised the citizen
Belli D +3 more
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Comparison of edge computing implementations: Fog computing, cloudlet and mobile edge computing
2017 Global Internet of Things Summit (GIoTS), 2017When it comes to storage and computation of large scales of data, Cloud Computing has acted as the de-facto solution over the past decade. However, with the massive growth in intelligent and mobile devices coupled with technologies like Internet of Things (IoT), V2X Communications, Augmented Reality (AR), the focus has shifted towards gaining real-time
Soumya Kanti Datta, Koustabh Dolui
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A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986This paper describes a computational approach to edge detection. The success of the approach depends on the definition of a comprehensive set of goals for the computation of edge points. These goals must be precise enough to delimit the desired behavior of the detector while making minimal assumptions about the form of the solution. We define detection
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Computer, 2016
The success of the Internet of Things and rich cloud services have helped create the need for edge computing, in which data processing occurs in part at the network edge, rather than completely in the cloud. Edge computing could address concerns such as latency, mobile devices' limited battery life, bandwidth costs, security, and privacy.
Schahram Dustdar, Weisong Shi
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The success of the Internet of Things and rich cloud services have helped create the need for edge computing, in which data processing occurs in part at the network edge, rather than completely in the cloud. Edge computing could address concerns such as latency, mobile devices' limited battery life, bandwidth costs, security, and privacy.
Schahram Dustdar, Weisong Shi
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2020
Along with the development of IoT and mobile edge computing in recent years, everything can be connected into the network at anytime, resulting in quite dynamic networks with time-varying connections. Controllability has long been recognized as one of the fundamental properties of such temporal networks, which can provide valuable insights for the ...
Ke Xu, Yuchao Zhang
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Along with the development of IoT and mobile edge computing in recent years, everything can be connected into the network at anytime, resulting in quite dynamic networks with time-varying connections. Controllability has long been recognized as one of the fundamental properties of such temporal networks, which can provide valuable insights for the ...
Ke Xu, Yuchao Zhang
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Future Generation Computer Systems, 2019
Abstract In recent years, the Edge computing paradigm has gained considerable popularity in academic and industrial circles. It serves as a key enabler for many future technologies like 5G, Internet of Things (IoT), augmented reality and vehicle-to-vehicle communications by connecting cloud computing facilities and services to the end users. The Edge
Wazir Zada Khan +4 more
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Abstract In recent years, the Edge computing paradigm has gained considerable popularity in academic and industrial circles. It serves as a key enabler for many future technologies like 5G, Internet of Things (IoT), augmented reality and vehicle-to-vehicle communications by connecting cloud computing facilities and services to the end users. The Edge
Wazir Zada Khan +4 more
openaire +2 more sources