A healthcare organization is implementing a new patient monitoring system that will collect real-time data from sensors attached to patients throughout the hospital. The system needs to process critical alerts within milliseconds to ensure timely medical response. Which of the following architectures would best address the requirements while maintaining appropriate security controls?
Edge computing systems with encryption and access controls at each processing node
Cloud-based architecture with high-speed connections to all hospital departments
Centralized data center with priority queuing for critical messages
Fog computing with distributed virtual machines across the network
Edge computing systems are the correct solution for this scenario because they process data closer to the source (patient sensors), reducing latency which is critical for the real-time monitoring application. Edge computing addresses the millisecond response time requirement by eliminating the need to transmit all data to a central cloud for processing before action can be taken.
Cloud-based solutions would introduce too much latency for the critical alerts requirement. A traditional data center approach would also face similar latency issues and would not be optimized for distributed data processing from multiple hospital locations. While fog computing extends cloud capabilities closer to the edge, it still doesn't provide the same level of immediate processing as edge computing for the critical millisecond requirements mentioned in the scenario.
When implementing edge computing for healthcare, security considerations must include data protection at the edge node, secure communication channels, authentication mechanisms for edge devices, and compliance with healthcare regulations for protected health information (PHI).
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ISC2 CISSP
Security Architecture and Engineering
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