Analyzing the Total Cost of Ownership: While scaling to a larger number of cluster nodes with our system,
the provisioned system resources come in balance leading
to improved power and energy efficiency. In Figure 11 we
show the change in perf./TCO when the numbers of cores
and disks are varied for the system. For all the benchmarks,
perf./TCO is highest when using most resources, i.e., it’s
highest when all the 768 cores of the system are used along with all the 64 disks. For these results, the perf./TCO metric
is plotted on the Z-axis while the number of CPU cores and
disks is varied on the Y and X-axis respectively. The performance of a system with respect to a benchmark is defined
as the inverse of the execution time of that benchmark