Edge computing increases data processing speed and efficiency by decentralizing computations to the network's edge. Its implementation includes deploying localized servers and IoT devices. Advantages include reduced latency, improved data security, and lower bandwidth usage. However, challenges such as infrastructure costs, scalability issues, and security concerns must be considered for effective deployment.
Read for more: https://www.impactqa.com/blog/edge-computing-implementation-advantages-and-disadvantages/
#EdgeComputing #CloudComputing #Automation #QualityAssurance
Read for more: https://www.impactqa.com/blog/edge-computing-implementation-advantages-and-disadvantages/
#EdgeComputing #CloudComputing #Automation #QualityAssurance
Data processing at the edge aids in the quick application of analytics as well as seamless transmission of data with no latency.
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