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相关概念视频

Production Efficiency01:01

Production Efficiency

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Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).
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Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

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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
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Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

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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...
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Parallel Processing01:20

Parallel Processing

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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...
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Column Efficiency: Rate Theory01:12

Column Efficiency: Rate Theory

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The rate theory of chromatography provides quantitative insight into the shapes and widths of elution bands. These bands are based on the random-walk mechanism governing molecular migration within a column. The Gaussian profile of chromatographic bands arises from the cumulative effect of random molecular motions as they progress through the column.
During elution, a solute molecule experiences numerous transitions between stationary and mobile phases, exhibiting irregular residence times in...
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Distributed Loads01:19

Distributed Loads

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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...
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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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通过进化调度方法,优化云计算环境中的产量和资源利用率.

Faten K Karim1, Sara Ghorashi1, Salem Alkhalaf2

  • 1Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.

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概括
此摘要是机器生成的。

本研究介绍了一种基于演进算法的调度方法,用于云计算中的 makespan 优化和资源利用 (EASA-MORU). 这种新的技术通过优化资源配置和负载平衡来提高云计算性能.

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科学领域:

  • 计算机科学 计算机科学
  • 云计算 云计算 云计算
  • 人工智能的人工智能

背景情况:

  • 云计算通过虚拟化提供按需资源访问,为多个用户提供共享硬件基础设施.
  • 资源调度 (RS) 是云环境中一个关键的NP-hard挑战,显著影响整体性能.
  • 当应用到调度算法时,Metaheuristics在改善云计算 (CC) 性能方面表现有希望.

研究的目的:

  • 开发一种基于进化算法的调度方法,用于在云环境中进行 makespan 优化和资源利用 (EASA-MORU).
  • 通过高效的资源配置和负载平衡来提高云基础设施的性能.
  • 解决云计算中的NP硬资源调度问题.

主要方法:

  • 该研究提出了EASA-MORU技术,利用虫优化 (DBO) 算法来规划资源.
  • 采用DBO技术,优化云基础架构中的产品范围和资源利用率.
  • 该方法侧重于根据动态云需求平衡负载和分配资源.

主要成果:

  • 与现有方法相比,EASA-MORU技术在产品优化和资源利用方面表现出卓越的性能.
  • 综合性比较研究验证了EASA-MORU技术在各种性能指标上的有效性.
  • 该方法有效地平衡负载,并根据云基础设施需求分配资源.

结论:

  • 欧亚航天局-MORU技术为云计算中的资源调度挑战提供了有效的解决方案.
  • 拟议的方法通过优化产量和资源利用来显著提高云计算性能.
  • 虫优化 (DBO) 算法被证明是云资源调度的一个可行的元启发学.