Systems and methods relating to host configuration optimization in a data center environment

A method for determining optimal memory configuration for hosts in the hosts' respective compute clusters based on current workloads in existence on each compute cluster, the method comprising:

• querying existing hosts in each compute cluster to determine a respective workload for each compute cluster;
• assigning all virtual machines in a first compute cluster to a first set (a) regardless of operating system and/or applications installed on the virtual machines;
• calculating a variable weighting factor, Wf, according to:
• W
• f
• =
• 1
• m
• *
• ∑
• i
• =
• 1
• m
• 
• (
• 1
• n
• *
• ∑
• j
• =
• 1
• n
• 
• M
• ij
• 1
• n
• *
• ∑
• j
• =
• 1
• n
• 
• C
• ij
• )
• X
• (
• M
• ij
• ,
• C
• ij
• )
• ∈
• (
• α
• ,
• β
• )
• wherein:
• n is the total number of samples for the ith Virtual Machine across any arbitrary sample window;
• m is the total number of Virtual Machine s across the same arbitrary sample window;
• Mij is the memory consumed by the ith Virtual Machine at time index j within set α,β;
• Cij is the CPU consumed by the ith Virtual Machine at time index j within set α,β;
• X is a constant based on the definition of a quantum of computing resources;
• α is any arbitrary class of virtual machines;
• and
• β is any arbitrary class of processor;
• calculating a VM capacity based on the variable weighting factor;
• and
• calculating an optimal memory configuration based on the VM capacity.

A method for optimizing workload allocation amount computer clusters, the method comprising:

• assigning all virtual machines in a first compute cluster of a first processor class, γ, and a first workload class, φ, into a first data set (α, β) and calculating a first variable weighting factor, Wf, relating to the first workload class, φ;
• assigning all virtual machines in the first compute cluster of the first processor class, γ, and a second workload class, θ, into a second data set (α′, β′) and calculating a second variable weighting factor, Wf′, relating to the second workload class, θ;
• assigning all virtual machines in a second compute cluster of the first processor class, γ, and the first workload class, φ, into a third data set (α″, β″) and calculating a third variable weighting factor, Wf″, relating to the first workload class, φ;
• assigning all virtual machines in the second compute cluster of the first processor class, γ, and the second workload class, θ, into a fourth data set (α′″, β′″) and calculating a fourth variable weighting factor, Wf′″, relating to the second workload class, θ;
• and
• assigning workloads to optimal compute cluster based on the calculated weighting factors and current configurations.