Edge Computing


Edge computing is a distributed, open IT architecture that features decentralised processing power, enabling mobile computing and Internet of Things (IoT) technologies. In edge compu
ting, data is processed by the device itself or by a local computer or server, rather than being transmitted to a data centre.

Mobile edge computing A key technology towards 5G
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Mobile Edge Computing (MEC) is a new technology which is currently being standardized in an ETSI Industry Specification Group (ISG) of the same name. Mobile Edge Computing provides an IT service environment and cloud-computing capabilities at the edge of the

EdgeIoT: Mobile edge computing for the Internet of Things
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In order to overcome the scalability problem of the traditional Internet of Things architecture (ie, data streams generated from distributed IoT devices are transmitted to the remote cloud via the Internet for further analysis), this article proposes a novel approach to mobile edge

Mobile edge computing : Survey and research outlook
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Driven by the visions of Internet of Things and 5G communications, recent years have seen a paradigm shift in mobile computing, from the centralized Mobile Cloud Computing towards Mobile Edge Computing (MEC). The main feature of MEC is to push mobile computing

Quantifying the impact of edge computing on mobile applications
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Computational offloading services at the edge of the Internet for mobile devices are becoming a reality. Using a wide range of mobile applications, we explore how such infrastructure improves latency and energy consumption relative to the cloud. We present

Fog computing and mobile edge cloud gain momentum open fog consortium, etsi mec and cloudlets
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Given the announcement of the Open Fog Consortium on 19 Nov 2015, this paper provides an introduction to Fog Computing and puts this concept into a wider context. Fog Computing is compared to similar and related approaches like Mobile Edge Computing and Cloudlets

Edge computing resource management and pricing for mobile blockchain
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The mining process in blockchain requires solving a proof-of-work puzzle, which is resource expensive to implement in mobile devices due to the high computing power and energy needed. In this paper, we, for the first time, consider edge computing as an enabler for

Mobile edge computing use cases and deployment options
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Mobile edge computing (MEC) aims to place compute and storage resources in the 4G radio access network (RAN) to improve the delivery of content and applications to end users. The technology enables operators to better adapt traffic to the prevailing radio conditions

Software-defined system support for enabling ubiquitous mobile edge computing
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Abstract Mobile Edge Computing (MEC) enables ubiquitous and efficient cloud services to mobile users which facilitates mobile cloud computing (MCC) more easily by providing storage and processing capacity within the access range of the mobile devices. To achieve

Mobile edge computing : Recent efforts and five key research directions
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In the past decade, we have witnessed Cloud Computing play as significant role for massive data storage, control, and computation offloading. However, the rapid proliferation of mobile applications and the Internet of Things (IoT) over the last few years has posed severe

Developing software for multi-access edge computing
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Edge Computing refers to a broad set of techniques designed to move computing and storage out of the remote cloud (public or private) and closer to the source of data. For the emerging class of 5G Applications this is often a matter of necessity. Locating such

Edge Computing .
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Edge Computing Vision and Challenges Mahadev Satyanarayanan School of Computer Science Carnegie Mellon University Page 2. 2 HotCloud-HotStorage Keynote July 11 2014-2017

Mobile Edge Computing : Requirements for Powerful Mobile Near Real-Time Applications.
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Mobile Edge Computing at different locations, need to be controlled from a centralized logical unit. This paper proposes a new controlling unit between the mobile transport network and the cloud infrastructure, called Mobile Edge Computing Manager, which reuse

Combining edge computing and blockchains for flexibility and performance in industrial automation
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The advent of Industry 4.0 has given rise to the introduction of new industrial automation architectures that emphasize the use of digital technologies. In this paper, we introduce a novel reference architecture (RA) for industrial automation, which leverages the benefits of

The drivers and benefits of edge computing
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Internet use is trending towards bandwidth-intensive content and an increasing number of attached things . At the same time, mobile telecom networks and data networks are converging into a cloud computing architecture. To support needs today and tomorrow

What is edge computing
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The word edge in this context means literal geographic distribution. Edge computing is computing thats done at or near the source of the data, instead of relying on the cloud at one of a dozen data centers to do all the work. It doesnt mean the cloud will disappear. It means

Pricing policy and computational resource provisioning for delay-aware mobile edge computing .
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Mobile edge computing is a novel technique to offer cloud-based computation offloading services to mobile users with short delay. However, the Cloud Service Providers (CSPs) of the edge cloud are generally different from the CSPs of remote Internet cloud. Considering

Edge-based cloud computing as a feasible network paradigm
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The reason for this is that data is always node remote due to the nature of an edge-based system. 1 Introduction Edge based cloud computing is a combination of two popular ideas, edge computing and cloud computing with edge computing

Mobile edge computing
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The advent of mobile cloud computing has increased expectations for optimal and reliable services and support for mobile users. The large pool of cloud resources and services has enabled the emergence of many novel applications for smart environments. However, the

Fog computing pushing intelligence to the edge
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Fog computing, also termed edge computing , can address those problems by providing elastic resources and services to end users at the edge of network, while cloud computing are more about providing resources distributed in the core network

Overview of Cloudlet, Fog Computing, Edge Computing , and Dew Computing
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Cloudlet, Fog Computing, Edge Computing , and Dew Computing are post-cloud computing models. Researchers and public need to grasp the essential meaning of each one and their differences. In this talk summary, we will describe the origins, definitions, basic principles As the quantity of data we’re dealing with continues to increase, we’ve realized the shortcomings of cloud computing in some situations. Edge computing is designed to help solve some of those problems as a way to bypass the latency caused by cloud computing and getting data to a datacenter for processing. It can exist on the edge, if you will, closer to where computing needs to happen. For this reason, edge computing can be used to process time-sensitive data in remote locations with limited or no connectivity to a centralized location. In those situations, edge computing can act like mini datacenters. Edge computing will increase as use of the Internet of Things (IoT) devices