Which architecture distributes processing and storage across multiple locations to improve resilience?

Which architecture distributes processing and storage across multiple locations to improve resilience?

• A. Centralized computing architecture
• B. Edge computing architecture
• C. Decentralized computing architecture
• D. Distributed computing architecture

Answer: (C)

Distributing processing and storage across multiple locations to improve resilience is best described by a decentralized computing architecture. In this approach, there isn’t a single central hub that everything depends on. Multiple nodes operate independently and share responsibilities, with data often replicated across sites. This setup reduces the risk that a failure or attack at one location brings down the entire system, because other locations can continue functioning and serving requests. Centralized architecture concentrates everything in one place, creating a single point of failure. Edge computing aims to bring compute closer to data sources to reduce latency, which is related to distribution but isn’t primarily about spreading control and data across many independent locations for resilience. Distributed computing spreads workload across many machines, but decentralization emphasizes absence of a central point of authority and shared, resilient operation across multiple sites.

Distributing processing and storage across multiple locations to improve resilience is best described by a decentralized computing architecture. In this approach, there isn’t a single central hub that everything depends on. Multiple nodes operate independently and share responsibilities, with data often replicated across sites. This setup reduces the risk that a failure or attack at one location brings down the entire system, because other locations can continue functioning and serving requests. Centralized architecture concentrates everything in one place, creating a single point of failure. Edge computing aims to bring compute closer to data sources to reduce latency, which is related to distribution but isn’t primarily about spreading control and data across many independent locations for resilience. Distributed computing spreads workload across many machines, but decentralization emphasizes absence of a central point of authority and shared, resilient operation across multiple sites.