In Huawei FusionCompute, where can memory and CPU resources for virtual machines be sourced from?

In Huawei FusionCompute, the memory and CPU resources for virtual machines are sourced from the same cluster. This is because FusionCompute is designed to manage resources at the cluster level, meaning that it organizes and allocates resources within a defined area of physical servers that operate together as a unit. Each cluster contains its own set of nodes that share their computing and memory resources, allowing for efficient management and allocation based on the capabilities and workloads of the virtual machines running within that cluster.

Sourcing resources from the same cluster ensures optimized performance and resource allocation, as the management of resources is localized and reduces overhead that might occur if resources were sourced from different clusters or across a broader infrastructure. This model also facilitates better control over resource distribution and improves fault tolerance within the cluster environment.

In contrast, sourcing from any cluster in the system or the entire cloud infrastructure would introduce complexities in resource management, such as ensuring that workloads are efficiently balanced and that network latency is minimized. Additionally, accessing resources from external data centers would generally fall outside the scope of FusionCompute’s designed architecture, which is fundamentally about optimizing resources within a managed cluster environment.