How does AWS Greengrass minimize costs associated with cloud data transmission?

AWS Greengrass minimizes costs associated with cloud data transmission primarily by allowing local execution of functions. When devices are enabled with Greengrass, they can process data locally without needing to send all data to the cloud for processing. This means that only relevant or necessary data is transmitted to the cloud, significantly reducing the volume of data sent over the internet, which in turn lowers the associated transmission costs.

Furthermore, local execution enables faster response times and improves operational efficiency, as many tasks can be completed on-site without latency introduced by cloud-based processing. By effectively managing how and when data is sent to the cloud, Greengrass helps reduce the dependency on constant cloud connectivity and minimizes costs related to data transfer, making it a cost-effective solution for edge computing scenarios.

The other options, while potentially related to data management, do not directly address the way AWS Greengrass minimizes cloud data transmission costs. For instance, while compressing data can help reduce bandwidth usage, it does not inherently address the frequency or necessity of data being sent to the cloud. Similarly, while reducing required internet speed or implementing data quotas might influence performance or resource allocation, they do not impact the core principle of local data processing that Greengrass offers.