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The optimal optimization policy can be obtained from value iteration algorithms in this formulation.
In this case, base station knows the CSI and the power constraint for each CR user and acts as a single controller to design the optimization policy for the whole network.
The authors claimed that if the energy optimization policy could be guided by power consumption prediction models, then about 20%% energy consumption could be saved for typical single site private cloud data-centers.
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We also did a comparison of the penalties between the local optimization policies and MILP.
Among the existing approaches, the artificial intelligence-based approaches that accumulate the operational and optimization experience and form optimization policies based on these experiences are the most promising.
Automatic provisioning matches workloads and deployments to the cloud type (public or private) and vendor best suited to the job based on pre-defined operational and cost optimization policies.
To prevent potential drastic changes in the network performance, the artificial intelligence approach, which can accumulate the operational and optimization experience and form optimization policies based on the experience, has significant potential [14 17].
From the simulation results, we conclude that our approach is able to acquire robust optimization policies for different complex scenarios and maintains a significantly better performance in terms of coverage and capacity with low energy consumption.
Hoque and Goyal (2000) have studied on specifying optimization policies for the integrated system of production and inventory, which comprised a single buyer and single vendor, and have considered the following assumptions in developing this model: First, the demand rate is definite and fixed.
After evaluating a set of candidate optimization policies, inclusive of (eventual) subscription tuning, each SelfLet can pass its choices to the Actuator and inform its neighbors, following a greedy strategy, or a non-greedy one, depending on the state of surrounding SelfLets.
However, authors improve the level of the discussion deeply exploring further optimization policies, just to name a few: the use of internal register (instead of the shared memory) thus avoiding synchronization barriers among threads in the same block and the application of tiling strategies.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com