By applying convex optimization techniques, an optimal resource allocation scheme is proposed to minimize total transmit power with required rates.
We then investigate an optimal resource allocation problem for sensor networks with limited connectivity.
Past studies have suggested that this linear relationship represents an optimal resource allocation strategy for each growth rate, independent of any specific nutrient state.
Site-specific management on the other hand, allows an optimal resource management as well as decreased environmental impact.
First, we develop an optimal resource-management policy that allows a joint scheduling of the source rate, transmit energy and playout rate.
Based on this equilibrium, an optimal resource allocation strategy is found to balance the tradeoff between the evacuees' risks and the evacuation agency's operation costs.
While many studies address independently these parameters (most of the time performance and power or energy), we show in this paper the necessity to tackle all these aspects for an optimal resource management of the computing resources.
We derive a law for upshifts using an optimal resource-allocation model: the post-shift growth rate equals the geometrical mean of the pre-shift growth rate and the growth rate on saturating carbon.
For an optimal resource allocation, companies need valuation tools to assess the benefits, costs and risks of competing projects.
Suppose that the ROT constraint is an inequality for an optimal resource allocation.
