How Edge Computing facilitate in handling voluminous data in enterprises
World is roaming to
new level of technological revolution. Cluster of technologies are evolved that
enable business firms to excel their productivity.
Edge computing is one
of the technical enhancement in data processing. It brings the processing of
data near to source that creates the data and away from cloud. Basically, Edge
computing is a distributed computing structure that brings enterprise
applications closer to data sources for example Internet of Things (IoT)
devices or local edge servers. This closeness to data at its source have real
business merits, faster insights, better response times and better bandwidth accessibility.
Multiple elements of
edge computing include the fog, multi-access Edge Computing and cloudlets. Key
attributes of edge computing are geographically distributed, scalable,
autonomous and distributed, low latency, real time interaction and
heterogonous.
Several examples of Edge
computing can be cited. Autonomous vehicles operate with edge computing to
reduce latency. Edge computing is used
in Internet-of-things sensors which monitor safety and security in companies.
This allows data analysis in real time if there is equipment failure or maintenance.
Edge computing also offers positive results in telecommunication companies.
Major disadvantage of
edge computing is that it increases attack vectors. Other downtrends of this
computing process is the requirement of local hardware.
Landing to
evaluation, Edge computing offers real time benefits in processing the data
near the source of the network. It is a wonderful evolution of nascent
technologies in the realm of software. Edge computing effectively deals with
the issues of response time requirement, battery life constraint, bandwidth
cost saving, and data safety.
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