Sentence examples for management algorithms such from inspiring English sources

We study the performance evaluation of different queue management algorithms, such as DropTail, RED on gateway node in this article.

It shows that our proposed method VM outperforms other buffer management algorithms such as FESTIVE, Elastic, RBA, and BBA.

Despite many researches study about the applications of 802.15.4 on industrial and MAC protocol, but little attention in the past has been given to how different queuing management algorithms, such as DropTail and RED, perform in terms of different settings of beacon order (BO), superframe order (SO) parameters on the multimedia service over IEEE 802.15.4 WSNs.

Other power management algorithms (such as [41]) assume that the processor or microcontroller is capable of dynamic voltage and frequency scaling (DVFS) and thus changes the speed of the processor or microcontroller in accordance with the energy state of the system.

Extensive simulation results show that this research work helps in significant improvement in throughput, PSNR (peak signal-to-noise ratio) when compared to existing buffer management algorithms such as RBA (rate-based adaptation), BBA (buffer-based adaptation), Elastic, and FESTIVE (Fair, Efficient, and Stable adapTIVE algorithm).

A power management algorithm such as that featured in [40] would be a possible good fit for systems that utilize our mote, although modifications are necessary.

In this section, we will introduce the proposed PHY layer PDCCH resource allocation and closely related algorithms, such as management and MAC layer dynamic packet scheduling.

Management algorithms have emerged for irAE's, such as inflammatory diarrhea/colitis and uniformly begin with elimination of potential infectious etiologies.

At DLC layer, QoS is guaranteed by appropriate radio resource management algorithms while at the physical layer other mechanisms such as power control, adaptive coding and modulation, or symbol rate are applied to guarantee the quality of the communications.

With certain given constraints (e.g., time, budget, resource), the approaches mostly rely on a diversity of threshold controlled algorithms such as workload/deadline-constrained [[16],[17]], and cost/budget-aware scaling management solutions [[18],[19]].

Smart Radial Distribution Systems (SRDS) of the future will have improved reliability, performance and flexibility in operation by using algorithms such as optimal reconfiguration in real-time in their distribution management systems.