We compare our architecture with similar available architectures for resource utilization and timing and provide performance comparison with OFDMA systems for various quality metrics of communication systems.
Our simulation results indicate that a distributed architecture with an exhaustive resource utilization update strategy yields better average end-to-end delay performance than a centralized architecture.
Software-defined networking (SDN), recognized as the next-generation networking paradigm, relies on the highly flexible, programmable, and virtualizable network architecture to dramatically improve network resource utilization, simplify network management, reduce operating cost, and promote innovation and evolution.
In rice, wheat, and maize research, changes in plant architecture, hybridization, and wider genetic resource utilization are being pursued to increase genetic maximum yield potential.
According to theoretical and experimental results, the architecture compares favorably with other dedicated architectures in terms of performance and hardware resource utilization.
Additionally, we explore the design space of our co-processor's parallel architecture in terms of computing speed and resource utilization.
The cost and performance efficiency aspect of the LTE technology are due to the simplification in network architecture (fewer network elements) and advanced algorithms for resource utilization.
The second architecture, on the other hand, targets a more effective resource utilization by optimizing time-area product.
It optimizes the FPGA architecture for the feature detection step of SIFT to reduce the resource utilization, and optimizes the implementation of the feature description step using a high-performance DSP.
Finally, we evaluate the resource utilization and network performance of the GrainFlow architectures presented.
