The dissemination process works with the dual aims of (i) maximizing the spread among relevant nodes (high recall) and (ii) minimizing spamming among non-relevant nodes (high precision).
From the InP's prospective, there are two goals: (i) maximizing the revenue for serving the VN requests and (ii) minimizing the corresponding energy cost.
Two objective functions are considered: (i) maximizing crystal size subject to a specified maximum coefficient of variation and (ii) minimizing coefficient of variation subject to a specified minimum crystal size.
Optimization of such systems aims at (i) maximizing energy utilization of the fuel (maximizing char conversion), (ii) minimizing secondary treatment of the gas (by avoiding complex tar cleaning), and (iii) application in small biomass-to-electricity gasification plants.
The improved performance can described to the fact that the robust design of hybrid structure is capable of (i) maximizing the utilization of MnO2 nanoneedles and (ii) leading to fast chemical reaction kinetics including ionic electro-sorption and charge transfer.
For this problem, prior work primarily focuses on either (i) maximizing the revenues by accommodating more virtual network requests or (ii) minimizing the energy consumption by consolidating the virtual networks into minimum number of substrate nodes.
