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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 .
In 2011, the need to extend cloud computing with fog computing emerged, in order to cope with huge number of IoT devices and big data volumes for real-time low-latency applications. [5] Fog computing, also called edge computing, is intended for distributed computing where numerous "peripheral" devices connect to a cloud.
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 ...
Distributed computing is a field of computer ... grid computing, cloud computing, ... which help to make your cloud native application as well as edge native ...
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 ...
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.