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Probability and optimization techniques are used to quantify and evaluate the cost- and risk-effectiveness of various deployment configurations, which is captured by using a system life-cycle cost model that incorporates the deployment cost, operating cost, and costs associated with system decisions.
Furthermore, MongoDB can be used in various deployment configurations such as a single node or cluster setup, which will allow us to address RQ2.
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Probability and optimization techniques are used to quantify and evaluate the risk and cost-effectiveness of various device deployment configurations, which are captured by using a system life-cycle cost model.
To address RQ2 and assess the impact of the database deployment configuration on the performance overhead introduced by ONDMs, we have executed our benchmarks over different deployment configurations.
Next, Section 4.5 discusses the different deployment configurations in which we have executed these benchmarks.
Figure 5 is folding and deployment configurations of triangular prism mast with hyperelastic hinges.
In addition, the proposed definitions of reliability cannot be extended to WSNs with different deployment configurations such as flat deployments which are non-hierarchical.
In general, the deployment configuration is selected manually based on expert knowledge.
Compared with traditional wireless networks, they are more efficient in terms of deployment, configuration, and maintenance.
A deployment configuration may be executed a number of times.
We evaluated the configuration time T ̄ conf under different traffic conditions and for different deployment configuration parameters.
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