Core computer room energy storage solution allocation

Are energy-saving resource allocation algorithms effective in cloud data centers?

Therefore, high energy consumption has become a growing problem for cloud data centers. This paper proposes two energy-saving resource allocation algorithms that take into account several energy efficiency factors: resource allocation policies, power management techniques, and power models for better energy management in cloud data centers.

How does VM resource allocation work?

In this approach, when VM resources increase, the algorithm considers the current state of the system along with historical data to determine the best resource allocation approach that would have the lease impact on the system. The ISF and OpenNebula platforms were used to test the performance of the algorithm.

Should energy consumption be reduced by resource consolidation?

However, reducing energy consumption by means of resource consolidation may degrade the system performance and lead to SLAs’ violation. Therefore, the optimal resource management strategy should achieve a balance between energy consumption and system’s performance.

Is resource consolidation only based on CPU utilization as threshold?

The proposed solution was simulated in PlanetLab with more than a thousand VMs, with results showing that the number of VM migrations were minimized and SLA violations were prevented. However, in this approach, resource consolidation is solely triggered based on CPU utilization as threshold.