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(Linthicum, n.d)

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(Linthicum, n.d)

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1)Scaliblity is an issue in Edge Computing

2)In case of edge computing , the activity cannot be monitored by an IT team.

3)The number of peripheral numbers is limited.

4)It is interconnected with custom security and no interoperability across properiatary networks.

5)Relies upon small data centers.t

6)Framework is widely distrubited compared to a standard network which makes it much more vulnerable to attacks.

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1) Faster : the distance that a data packet has to travel is very less since the source is physically closer to the tools of data analysis.
2) Lower Costs : bandwidth is reduced necessarily , reduced storage requirements .
3) Reliable : Even when the cloud centers are affected , the connections are not effected as the data is stored in local micro data centers. This also results in better bandwidth.

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1) It is expensive to set up.
2) Complex : Since every device is storing and analysing their own data , this makes it much more complex
3) Compatiblity issues.
4) More connections result in higher risk .

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1) Better privacy control : as the data is stored locally instead of being sent to a centralized cloud , an IT team can be setup to moniter , track , and control what data is being collected by what device.
2) Secure Data :  When all the data is stored in a centralize location it is much more vulnerable to attacks . In Fog Computing the activity takes place between several endpoints making it much more easier to identify threats , malware , infected files .
3) Reduced operational cost : as the data is flowing locally , lesser bandwidth is required .

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The position where facilities are instantiated is usually referred to.

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Separate nodes which don't form a network are often restricted.

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It is defined by the exclusion of cloud.

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Instead of sending data to the cloud, each edge is used to localize the data.

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Implies the allocation of resources and facilities for communication, processing and storage.

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This has multiple levels of hierarchical and flat architecture.

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Works with the cloud.

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Fog node determines whether to use its own resources to process data from different data sources.

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Difference  Between Fog Computing And Edge Computing

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Difference  Between Fog Computing And Edge Computing

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This is a system that explains how edges should be managed and simplifies the operation of data centers, storage and networking infrastructure between end devices and cloud computing.Some use fog as a jump-off point for edge computing.

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Often called "edge" processes are closer to the data source and do not need to be sent to remote clouds or other centralized processing systems.

By reducing the distance and time needed to send data to centralized sources, we can increase transport speed and efficiency, as well as edge devices and applications.

It is intended to eliminate latency from the transmission phase, as the information is not sent back to the edge of a central processing device from the edge of the network.