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In [12], a method for optimizing power consumption of container tracking devices through mesh networks is proposed.
A company selling cloud services may be optimizing power consumption, say, while customer A wants stable (not necessarily fast, but predictable) transaction times for a shopping cart scenario.
By miniaturizing the design, optimizing power consumption and minimizing the mass we have shown that full-fledged commercial global Q.Com can be achieved with a simple 3U CubeSat.
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To solve the addressed problem, a novel crosstalk-aware power optimization approach is further proposed to optimize power consumption while satisfying the crosstalk constraint.
Numerical results plot a performance metric for assignments of VMs to new arriving jobs either at an empty or non-empty system that optimizes power consumption.
Other works like [11] show the importance to study the user's activities and behaviors to optimize power consumption in mobile systems.
Besides theoretical model and analysis, significant work has been done to optimize power consumption at run-time through software-controlled mechanisms, or knobs.
One approach to address this concern is to control and optimize power consumption using a power model for each multimedia application, such as a video decoder.
This exploration contributes to the identification of conditions that make DBB more efficient than DVS, and vice versa, and when both methods are mandatory to optimize power consumption.
Simultaneously, it increases the requests to optimize power consumption and emphasis on the mobility, unification and advanced control and communication, which enables reciprocal communication among these devices.
Our work jointly optimizes power consumption of servers and communications network and it includes both workload and server heterogeneity, resource constraints of the servers, network topology and link bandwidth constraints.
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