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The Cloud scheduling heuristics are adapted to the resource allocation settings (e.g., 1-hour time slots) of Clouds by focusing on maximizing Cloud resource utilization based on the remaining allocation times of Cloud resources.
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The larger the number of phases, the smaller the allocation time of each phase becomes.
Up to now, the allocation time of each phase is assumed to be 1 s.
The CQI allocation time of each user is adapted based on the instantaneous packet loss of each user.
The allocation time of RSi is denoted as t i. Figure 1 The channel model of multi-hop MIMO relay systems.
The reason is that the SNR increases when the number of the relay nodes increases, however the allocation time of each relay node reduces rapidly.
Similar to transmit power and distance, in order to guarantee the end-to-end channel capacity, the allocation time of each relay needs to be optimized.
Although the number of antennas in the full-duplex system is a half of the number of antennas in the half-duplex system, the allocation time of the full-duplex system is a double of allocation time of the half-duplex system.
In order to explain the optimizing of the distance and transmit power clearly, the allocation time of each relay node is assumed to be the same, t i = 1 m + 1.
Mechanistic models of patch foraging strategies by insect parasitoids show that each oviposition has either an incremental or decremental effect on the patch allocation time of each parasitoid species [ 16- 20].
This figure depicts aggregate time estimates on activities common to all staff, which were used for support cost allocation; time allocation of specific staff on specific activities was used in ingredient cost estimates (Additional file 1).
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