Examples of using Fog computing in English and their translations into Arabic
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Fog Computing.
New technologies such as Edge and Fog computing are a solution to reducing energy consumption.
Fog computing can provide location services and service quality for real time applications and streaming. It also permits a bigger heterogeneity since it is connected to end-user devices and routers. The applications can include industrial automation, transportation and networks of sensors.
Mist computing- a lightweight and rudimentary form of computing power that resides directly within the network fabric at the extreme edge of the network fabric using microcomputers andmicrocontrollers to feed into Fog Computing nodes and potentially onward towards the Cloud Computing platforms.
Even though both Cloud Computing and Fog computing provide to the end-users storage, applications and data, Fog computing has a bigger proximity to end-users and bigger geographical distribution.[20].
On November 19, 2015, Cisco Systems, ARM Holdings, Dell, Intel, Microsoft, and Princeton University, founded the OpenFog Consortium,to promote interests and development in fog computing.[18] Cisco Sr. Managing-Director Helder Antunes became the consortium's first chairman and Intel's Chief IoT Strategist Jeff Fedders became its first president.
Fog computing- Fog computing is a term created by Cisco that refers to extending cloud computing to the edge of an enterprise's network. Also known as Edge Computing or fogging, fog computing facilitates the operation of compute, storage, and networking services between end devices and cloud computing data centers. It is a medium weight and intermediate level of computing power.
Fog computing[1] or fog networking, also known as fogging,[2][3] is an architecture that uses one or more collaborative end-user clients or near-user edge devices to carry out a substantial amount of storage(rather than stored primarily in cloud data centers), communication(rather than routed over the internet backbone), control, configuration, measurement and management(rather than controlled primarily by network gateways such as those in the LTE core network).
Fog computing can be perceived both in large cloud systems and big data structures, making reference to the growing difficulties in accessing information objectively. This results in a lack of quality of the obtained content. The effects of fog computing on cloud computing and big data systems may vary; yet, a common aspect that can be extracted is a limitation in accurate content distribution, an issue that has been tackled with the creation of metrics that attempt to improve accuracy.[4].