Essentials of IoT and Edge Computing

Data volumes continue to grow, particularly in industries such as manufacturing, oil and gas, energy, and transportation that are undergoing rapid digital transformation. This data explosion at the edge must be managed. There are numerous challenges involved with this, including system complexity, data privacy, latency issues, poor bandwidth connectivity, and rising costs for storing and processing data.

Edge computing reduces the amount of long-distance connectivity between a device and server by getting compute as close to the data source as possible, thereby improving the way the data is handled, processed, and delivered. When it comes to large industries such as manufacturing, oil and gas, energy, or transportation, industrial edge computing is being deployed to analyze and manage all data at the asset end in real time for real-time analytics or to use the aggregated data for further processing in the cloud.

The edge has three main components...