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Edge computing is a distributed computing model that brings computation and data storage closer to the sources of data. More broadly, it refers to any design that pushes computation physically closer to a user, so as to reduce the latency compared to when an application runs on a centralized data centre .
Multi-access edge computing (MEC), formerly mobile edge computing, is an ETSI-defined [1] network architecture concept that enables cloud computing capabilities and an IT service environment at the edge of the cellular network [2] [3] and, more in general at the edge of any network. The basic idea behind MEC is that by running applications and ...
The OpenFog Consortium was an association of major tech companies aimed at standardizing and promoting fog computing.. Fog computing [1] [2] or fog networking, also known as fogging, [3] [4] is an architecture that uses edge devices to carry out a substantial amount of computation (edge computing), storage, and communication locally and routed over the Internet backbone.
IoT intelligence can be offered at three levels: IoT devices, Edge/Fog nodes, and cloud computing. [135] The need for intelligent control and decision at each level depends on the time sensitiveness of the IoT application. For example, an autonomous vehicle's camera needs to make real-time obstacle detection to avoid an accident. This fast ...
In computer networking, an edge device is a device that provides an entry point into enterprise or service provider core networks. [1] Examples include routers , [ 2 ] routing switches , integrated access devices (IADs), multiplexers, and a variety of metropolitan area network (MAN) and wide area network (WAN) access devices.
A cloudlet is a mobility-enhanced small-scale cloud datacenter that is located at the edge of the Internet. The main purpose of the cloudlet is supporting resource-intensive and interactive mobile applications by providing powerful computing resources to mobile devices with lower latency.
Fog computing – Distributed computing paradigm that provides data, compute, storage and application services closer to the client or near-user edge devices, such as network routers. Furthermore, fog computing handles data at the network level, on smart devices and on the end-user client-side (e.g. mobile devices), instead of sending data to a ...
The cloud computing model is meant to delegate and simplify delivery of SD-WAN and security functions to multiple edge computing devices and locations. Based on policy, different security functions may also be applied to different connections and sessions from the same entity, whether SaaS applications, social media, data center applications or ...