Disclosure of cloud Computing data center

1th challenge: Increased power density

High power density areas are bound to face the challenge of heat dissipation. In the cloud computing environment, virtual servers are often grouped together in groups, which can create hotspots. The preferred approach is to migrate the higher power density equipment to a specific cabinet or cabinet line, with a lower power density device partition layout. Such high-density "zone deployments" are more predictable and ensure maximum power density per cabinet.

2nd Challenge: Pue deterioration

Virtualization can dramatically reduce server power consumption. However, if the power supply and refrigeration infrastructure remain in place before virtualization, it can lead to pue (energy efficiency) deterioration. Schneider Electric's scalable power supply and refrigeration solutions can significantly reduce these inefficiencies by "on-demand planning" for new workloads.

3rd challenge: Increased risk of downtime

The load on the cloud computing datacenter may vary with time and location. Load fluctuations may be greater in highly virtualized cloud computing data centers. In a cloud computing environment, using predictable management tools is a secure way to keep the data center streamlined and efficient. The Schneider Electric Strucxtureware Data center management software suite is available in real time with virtual machine (VM) managers to ensure efficient matching of power supply and refrigeration to dynamic loads.

4th Challenge: Use unnecessary redundancy levels

Cloud computing data centers are equipped with high-level it fault-tolerant systems, which may reduce the redundancy requirements of power and refrigeration infrastructures. Matching physical infrastructure redundancy with virtualized cloud computing environment fault tolerance is another form of demand planning that can significantly reduce costs.