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CIO Applications Weekly Brief

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Editor's Pick (1 - 4 of 8)
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A Health System's leap to IOT

A Health System's leap to IOT
Daniel Morreale, SVP & CIO, Hunterdon Healthcare

Industrial Scientific Blazes a Trail in IoT

Industrial Scientific Blazes a Trail in IoT
David DiLeo, CIO, Industrial Scientific Corporation

IoT Platforms: What are They and Do You Need One?

IoT Platforms: What are They and Do You Need One?
Tekin Gülşen, CIO, IT Director, Brisa Bridgestone Sabanci

IoT Facilitates Enhancements to Water Management Systems

IoT Facilitates Enhancements to Water Management Systems
Patrick Stephens, CIO, Rain for Rent

Transforming the Future City

Transforming the Future City
Brenna Berman, CIO, City of Chicago

How Internet of Things (IoT) will Rewire Supply Chains

How Internet of Things (IoT) will Rewire Supply Chains
Chad Lindbloom, CIO, C.H. Robinson

Embracing the Internet of Things

Embracing the Internet of Things
John Sprague, Deputy Associate CIO for Technology and Innovation, NASA

Trends in IoT: The 2021 landscape and beyond

Trends in IoT: The 2021 landscape and beyond
Mark Budd, Head of Innovation, Zurich Insurance

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What is the Role of Edge Computing in Modern Industrial Applications?

By CIO Applications| Wednesday, February 12, 2020
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Edge computing is empowering industries to develop enhanced computing capabilities and optimized efficiencies in operation.

FREMONT, CA: With IoT devices becoming more convenient than ever, edge computing is now being adopted across industry verticals. The industrial manufacturing sector presents one of the most promising use cases for edge computing. Edge computing can conveniently counteract the complexity of interconnected systems, making it easy to collect as well as analyze data in real-time. It also permits devices to gather important information from remote sites where network connectivity may or may not be consistent and cost-effective. 

Edge computing empowers industrial IoT equipment to perform autonomous decisions-making. Sensor data controls the condition of machinery and optimizes the usage by speeding up or slowing down processes. Smart factories equipped with temperature, motion, and humidity sensors can adjust elements like heating and cooling, and lighting, resulting in optimal usage of power. Besides, industries can reduce the expenses of keeping high-capacity cloud servers and high-volume data exchange capabilities by opting for edge computing that divides processing as well as storage capabilities.  

Another significant benefit of implementing edge computing for industrial applications is the reduction of network latency. Network latency can be defined as the time required for a request or query to travel to the data center, the processing of data at the data center, as well as the response to move back to the endpoints. With edge computing, the most frequently required processing modules are in close proximity to the network endpoints, resulting in minimum latency. Such a shift in architecture makes industrial computing more sensitive to changes. Such systems can also systematically upload logs and other crucial information to the centralized cloud servers for storage or processing.

Edge computing contributes to making systems more reliable, as well. The processing capability possible on the site permits distributed manufacturing units to reduce dependence on continuous connectivity with the central data center. Thus, failures in communication cannot affect manufacturing operations.

See Also ;- Top IoT Solution Companies

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