A storage system encounters CPU performance issues, such as slow responses during system access, decreased QPS and TPS, and prolonged response time. Which of the following methods can be used to optimize performance?
A.
Replace the current CPU with a more advanced one.
B.
Reduce the data block buffer size.
C.
Add system modules, such as front-end processors, and set parallel servers.
D.
If there are multiple CPUs, consider load allocation among them.
Huawei ' s storage architecture emphasizes distributed active-active processing, in which requests are distributed across controllers for parallel processing. The course states that adding controllers results in automatic balancing of existing LUN or file-system services and that global cache and pool resources are shared among controllers. The architecture also specifically describes “load balancing among all controllers and auto-rebalancing upon scale-out, failover, and failback.” These principles support A, C, and D. Increasing CPU processing capability addresses compute saturation directly. Adding processing modules or parallel service resources increases the number of resources available to execute service workloads concurrently. Where multiple CPUs or processing resources exist, workload distribution is essential to prevent one processor from becoming saturated while another remains underused.
Reducing the data-block buffer size is not a CPU optimization mechanism. It can instead reduce buffering efficiency and potentially increase I/O-processing overhead.
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