Edge computing architectures offer enormous advantages to companies in almost all industries, but they are also associated with challenges. While collecting billions of data from millions of interconnected devices can enable businesses to offer truly adaptable services, that data is also a big problem when it comes to storage.

Part of the challenge in building a storage infrastructure for edge computing is the sheer volume of data that edge systems generate. The total volume of data generated from edge computing is projected to triple over the next five years.

Storing the data generated and used by edge systems comes with other challenges. Much of this data is of temporary use. Efficient Computer memory Systems must be able to easily retrieve and then remove data to avoid overloading systems with data.

This article discusses the challenges of storing edge computing data and the proposed solutions to overcome …



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