What is the purpose of distributing the grid scan workload across multiple detection servers?

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Multiple Choice

What is the purpose of distributing the grid scan workload across multiple detection servers?

Explanation:
Distributing the grid scan workload across multiple detection servers is about scaling detection capacity through parallel processing. By spreading the work over several servers, the system can scan more data at once, reducing bottlenecks and increasing overall throughput. This also adds fault tolerance—if one server is busy or unavailable, others can continue processing to keep scans moving. This approach is not about making a single server perform better; it’s about expanding total capacity by adding more servers. It doesn’t inherently reduce detection accuracy; the accuracy depends on the detection rules and data, assuming results are properly synchronized across the grid. Centralized control might still exist for policy and coordination, but the actual scanning is distributed to improve scalability and resilience.

Distributing the grid scan workload across multiple detection servers is about scaling detection capacity through parallel processing. By spreading the work over several servers, the system can scan more data at once, reducing bottlenecks and increasing overall throughput. This also adds fault tolerance—if one server is busy or unavailable, others can continue processing to keep scans moving.

This approach is not about making a single server perform better; it’s about expanding total capacity by adding more servers. It doesn’t inherently reduce detection accuracy; the accuracy depends on the detection rules and data, assuming results are properly synchronized across the grid. Centralized control might still exist for policy and coordination, but the actual scanning is distributed to improve scalability and resilience.

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