The goal of this thesis is to test memory optimization and reclamation tools in the most
widely used hypervisors: VMware ESXi, Microsoft Hyper-V, KVM, and Xen. The aim
is to measure how much memory could be reclaimed and optimized by different memory
management algorithms across hypervisors mentioned above. Dedicated monitoring
tools Zabbix and collectd are going to gather the data which will be analyzed. As a
result, Hyper-V seems to be the most effective, with ESXi second and KVM falling somewhat behind in the third place. Xen failed to meet specifc criteria (automated memory optimization) which rendered it impractical to include in the testing process.