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

Integration of Synaptic Events01:28

Integration of Synaptic Events

1.6K
Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...
1.6K
Parallel Processing01:20

Parallel Processing

181
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
181
Amplifying Signals via Second Messengers01:15

Amplifying Signals via Second Messengers

7.0K
Many receptor binding ligands are hydrophilic; they do not cross the cell membrane but bind to cell-surface receptors. Thus, their message must be relayed by second messengers present in the cell cytoplasm. There are several second messenger pathways, each with its own way of relaying information. For example, the G protein-coupled receptors can activate both phosphoinositol and cyclic AMP (cAMP) second messenger pathways. The phosphoinositol pathway is active when the receptor induces...
7.0K
Elastic Collisions: Introduction01:00

Elastic Collisions: Introduction

12.9K
An elastic collision is one that conserves both internal kinetic energy and momentum. Internal kinetic energy is the sum of the kinetic energies of the objects in a system. Truly elastic collisions can only be achieved with subatomic particles, such as electrons striking nuclei. Macroscopic collisions can be very nearly, but not quite, elastic, as some kinetic energy is always converted into other forms of energy such as heat transfer due to friction and sound. An example of a nearly...
12.9K
The Unfolded Protein Response01:37

The Unfolded Protein Response

4.7K
The ER is the hub of protein synthesis in a cell. It has robust systems to quality control protein folding and also for degradation of terminally misfolded proteins. Under normal conditions, a small proportion of misfolded proteins that cannot be salvaged need to be transported to the cytoplasm by the ER-associated degradation or ERAD pathways. However, if the ERAD cannot handle the misfolded proteins, the cell activates the unfolded protein response or UPR to adjust the protein folding...
4.7K
Elastic Collisions: Case Study01:15

Elastic Collisions: Case Study

14.2K
Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
14.2K

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

Detecting security attacks in cyber-physical systems: a comparison of Mule and WSO2 intelligent IoT architectures.

PeerJ. Computer science·2021
查看所有相关文章

相关实验视频

Updated: Jul 19, 2025

Data Communication Based on MQTT in a Polymer Extrusion Process
08:15

Data Communication Based on MQTT in a Polymer Extrusion Process

Published on: July 15, 2022

3.5K

评估Esper复杂事件处理引擎和消息经纪人的集成.

Guadalupe Ortiz1, Adrian Bazan-Muñoz1, Winfried Lamersdorf2

  • 1UCASE Software Engineering Research Group, Department of Computer Science and Engineering, University of Cádiz, Puerto Real, Spain.

PeerJ. Computer science
|August 7, 2023
PubMed
概括

本研究评估了使用RabbitMQ和Apache Kafka的Esper复杂事件处理 (CEP),发现了高效的实时数据处理. 性能因架构而异,为系统开发人员提供指导.

关键词:
阿帕奇卡夫卡 (Apache Kafka) 是一个复杂的事件处理.期待 期待 期待 期待 期待 期待评价 评价 评价物联网的物联网,就是物联网.子MQQQ 在线观看

更多相关视频

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.1K
Dissociation of the Confounding Influences of Expectancy and Integrative Difficulty Residing in Anomalous Sentences in Event-related Potential Studies
05:22

Dissociation of the Confounding Influences of Expectancy and Integrative Difficulty Residing in Anomalous Sentences in Event-related Potential Studies

Published on: May 9, 2019

5.4K

相关实验视频

Last Updated: Jul 19, 2025

Data Communication Based on MQTT in a Polymer Extrusion Process
08:15

Data Communication Based on MQTT in a Polymer Extrusion Process

Published on: July 15, 2022

3.5K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.1K
Dissociation of the Confounding Influences of Expectancy and Integrative Difficulty Residing in Anomalous Sentences in Event-related Potential Studies
05:22

Dissociation of the Confounding Influences of Expectancy and Integrative Difficulty Residing in Anomalous Sentences in Event-related Potential Studies

Published on: May 9, 2019

5.4K

科学领域:

  • 计算机科学 计算机科学
  • 数据工程数据工程
  • 软件架构 软件架构

背景情况:

  • 物联网和智能环境的扩散产生了大量数据,要求低延迟的处理系统.
  • 现有的复杂事件处理 (CEP) 解决方案通常在不同负载下缺乏性能评估,阻碍了新的部署.
  • 高通量数据处理中的可扩展性和容错性仍然是关键的研究领域.

研究的目的:

  • 为了评估与RabbitMQ和Apache Kafka集成的Esper CEP引擎版本的性能.
  • 在不断增加的数据速率下对不同软件架构进行实时数据处理的比较.
  • 为开发人员提供数据驱动的洞察力,以选择合适的CEP和消息中介解决方案.

主要方法:

  • 使用Esper CEP事件模式和代表性运营商定义了一个基准.
  • 测试了三种架构:Esper/RabbitMQ,Esper Enterprise/Kafka (单个实例),以及Esper Enterprise/Kafka (分布式). 这三种架构都进行了测试.
  • 测量了CPU,RAM,延迟和吞吐量,以增加事件输入速率来识别系统超载点.

主要成果:

  • 所有架构在测试的数据速率上都表现出较低的CPU消耗.
  • 记忆使用是平衡的,类似于1万-1万5千次/秒的事件.
  • 观察到高效的响应时间高达10,000-15,000事件/秒,因架构和模式而异.

结论:

  • 埃斯珀CEP提供高效的实时数据处理解决方案,在集成,可扩展性和容错性方面具有不同的优势.
  • 选择CEP引擎和消息代理取决于特定的系统要求.
  • 性能基准为物联网和智能环境中明智的系统设计决策提供了关键数据.