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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 ...
Modern data centers must support large, heterogenous environments, consisting of large numbers of computers of varying capacities. Cloud computing coordinates the operation of all such systems, with techniques such as data center networking (DCN), the MapReduce framework, which supports data-intensive computing applications in parallel and distributed systems, and virtualization techniques ...
Distributed computing is a field of computer science that studies distributed systems, defined as computer systems whose inter-communicating components are located on different networked computers.
Microsoft CEO Satya Nadella just reaffirmed his plan to spend $80 billion on AI data centers in 2025, mostly in connection with its OpenAI partnership and cloud computing division. This is a huge ...