A multinational organization is deploying numerous environmental sensors across various locations to monitor and analyze ecological data in real-time. The data volume is substantial, and continuously streaming it back to a central processing location is becoming exceedingly costly because of the associated bandwidth usage. Which service should be used to preprocess and minimize the datasets locally before sending the refined data to the central system, thereby reducing transmission costs?
Employ portable edge computing and storage devices for large-scale data transfers
Leverage local data centers to bring cloud services closer to metropolitan areas
Utilize mobile edge computing infrastructure designed for telecom networks
Implement an IoT edge computing platform for local data processing