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By bringing computation closer to the data source, edge-based deployments reduce latency, enhance real-time capabilities, and optimize network bandwidth. Managing and storing this data locally presents logistical and cost challenges, particularly for industries like manufacturing, healthcare, and autonomous vehicles.
The AWS GovCloud (US-East) Region is located in the eastern part of the United States, providing customers with a second isolated Region in which to run mission-critical workloads with lower latency and high availability. Payment Card Industry (PCI) Security. System and Organization Controls (SOC) 1, 2, and 3.
Healthcare providers can provide remote monitoring of patient health—improving patient care. For some applications, a trip to the cloud and back isn't possible because of latency requirements (for example, an autonomous car interpreting its environment in real time). There's also the cost to send data to the cloud to consider.
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This lowered latency more than 2x and delivered more than 10x improvement in latency variability on the network. Because network access is a shared resource, customers previously could experience significant jitter on the network at times. No gatekeepers.
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Applying this concept to a pandemic, the system we are controlling is the spread of infection in the human population, and the capacity of the healthcare system to triage the people who get sick. The essential component of a control system is a low latency and dependable way to measure the thing we are trying to control.
Learn how the ScepterAir data fusion platform uses advanced AWS Cloud services to analyze and extract insights from ground-based, airborne, and in-orbit data sources with low latency.
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