SOLUTION BRIEF
Stepping Into the Fog Conservative Estimates Anticipate
22 Billion Connected Devices by 2020 – All of Which will be Generating Data in Real Time
Setting the Scene In simpler times, large volumes of big data were best handled through the cloud. Sure, the cloud is still a major player but the massive amount of data created by the Internet of Things (IoT) has generated considerable strains on bandwidth and network availability for organizations across industries. This kind of pressure can cause things like infrastructure failure and unacceptable time delays on urgent data. Enter fog computing. This decentralized cloud computing model allows organizations to circumvent the problems with storage capacity traditionally associated with centralized cloud computing approaches. At the same time, businesses can still reap the traditional benefits of the cloud as a whole: cost savings, flexibility, etc.
Fogging’s Finest The fogging model has some pretty clear advantages – hence the rapid adoption of this model across organizations. But where does fog computing really shine? We’ve boiled it down to three major benefits:
Saves You Time: An estimated 90 percent
of data transmitted through fog cloud computing requires no movement and can be processed at the source. The remaining 10 percent accounts for malfunctioning assets and is sent to the right server for maintenance. Put simply, fog computing proposes that devices handle much of your computational tasks on their own via direct communication. This cuts down maintenance work for your team.
Saves You Space: Considering the sheer
volume of data, it is inefficient for all the information to filter through the cloud for processing and analysis. These practices take up massive amounts of bandwidth and the communication required between the sensors and the cloud can have a poor effect on performance. Fog computing’s decentralized nature allows for a more distributed approach that frees up space for more data.
Saves You Money: With fog computing,
businesses no longer need to worry about increases in storage capacities or physical infrastructures. The model is better suited for flexibility. The fog computing model can save organizations money that would have otherwise been spent on infrastructure.
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