Analytical projections using Eq. (14) are also presented in Table 1 for e(0) = 85.
In multistate contexts, they provide useful new tools for analytical projections and rate estimation.
Column (5) compares the Leslie and analytical projections, showing the proportional error in the Eq. (10) projection.
Still, demographic models for multistate populations with changing rates remain at an early stage of development, limiting dynamic analyses and analytical projections.
The ability to do such analytical projections is a major advantage of the IL approach and can be extremely useful in applied work.
Using the ultimate state composition implied by the prevailing rates, the IL-RR model provides new relationships that connect multistate populations over time and allow analytical population projections.
Furthermore, we proposed a projection analytical model to project performances and performance per watt with error deviation <10% between projected and measured data.
In Section 6, we present a detailed performance-per-watt projection analytical model and conclude in section 7. Several papers on cloud workload characterization and optimization have been published.
