Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

623
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
623
Distributed Loads01:19

Distributed Loads

510
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
510
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

94
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
94
Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

1.4K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
1.4K
Relation Between the Distributed Load and Shear01:23

Relation Between the Distributed Load and Shear

603
Understanding the relationship between the distributed load and shear force in structural analysis is crucial for analyzing beams subjected to various loading conditions. Consider the case of a beam experiencing a distributed load, two concentrated loads, and a couple moment.
603
Load-frequency control01:28

Load-frequency control

123
Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
123

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Selective silencing of placental anti-angiogenic factors in invasive trophoblasts via membrane-fusion divalent siRNA delivery for preeclampsia therapy.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same author

Serum amino acid metabolome alteration associated with urinary metal profiles among solar greenhouse workers: Findings from a cross-sectional study.

Environmental pollution (Barking, Essex : 1987)·2026
Same author

Integrated Bioinformatics and in vivo Validation Identify the MTRNR2L1/MTRNR2L10 Axis as a Candidate Regulator Associated with Cortical NLRP3 Inflammasome-Related Signaling in Experimental Epilepsy.

Journal of molecular neuroscience : MN·2026
Same author

ALOX5 mediates sunitinib resistance in renal cell carcinoma by reprogramming lipid metabolism through the p38/ERK/PPARα axis.

International immunopharmacology·2026
Same author

Expert-based quantitative modeling for the probabilistic assessment of human factors risks related to physical literacy.

Frontiers in sports and active living·2026
Same author

Association between the triglyceride-glucose index and collateral status in ischemic stroke patients undergoing endovascular therapy.

Clinical neuroradiology·2026

相关实验视频

Updated: Jun 5, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

486

在异质云环境中优化负载调度和数据分布,使用基于模糊逻辑的双层框架.

Bei Cheng1, Dongmei Li2, Xiaojun Zhu2

  • 1Research Center for Educational Evaluation and Inspection, China National Academy of Educational Sciences (CNAES), Beijing, China.

PloS one
|December 13, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了使用 Fuzzy Logic (FL) 优化云资源配置的双层调度和分发框架 (TSDF). 该框架减少了等待时间,并通过有效处理无人监督的请求来改善数据分配.

更多相关视频

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
11:05

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Published on: December 13, 2016

12.1K
Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
11:29

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Published on: June 20, 2020

9.0K

相关实验视频

Last Updated: Jun 5, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

486
Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
11:05

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Published on: December 13, 2016

12.1K
Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
11:29

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Published on: June 20, 2020

9.0K

科学领域:

  • 云计算 云计算 云计算
  • 人工智能的人工智能
  • 运营研究 运营研究

背景情况:

  • 云环境面临着异质资源和用户需求的挑战,导致负载调度和数据分配不足.
  • 云系统中的未经监督的请求可能会导致长时间的延迟,影响整体系统性能和用户体验.
  • 现有的资源调度策略很难有效地管理异质性和动态请求模式.

研究的目的:

  • 为优化云资源管理提出和评估一种新的双层调度和分发框架 (TSDF).
  • 解决异质云环境中未经处理的请求造成的长时间延迟问题.
  • 通过使用 Fuzzy Logic (FL) 来提高负载平衡和数据分配效率.

主要方法:

  • 开发一个双层调度和分发框架 (TSDF) 结合模糊逻辑 (FL).
  • 实施两层次的模糊化过程:首先,区分定期和暂停的请求来管理延迟,其次,结合低延迟和高延迟分配来共同分配资源.
  • 基于时间的调度优先考虑最小的时间变化的请求,并优化累积响应延迟.

主要成果:

  • 拟议的TSDF框架成功地将等待时间减少了7.8%.
  • 通过优化分配间隔,数据分配效率提高了13.07%.
  • 该框架有效地管理异质性,并防止因未经处理的请求造成的长时间延误.

结论:

  • 在异质云环境中,TSDF框架为优化资源调度和数据分布提供了有效的解决方案.
  • 模糊逻辑集成使请求优先级和资源分配的智能处理成为可能,从而带来了显著的性能改进.
  • 该研究表明,TSDF有潜力通过减少延迟和改善资源利用来提高云系统效率和用户满意度.