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Related Concept Videos

Thermal Stress01:09

Thermal Stress

2.5K
If the temperature of an object is changed while it is prevented from expanding or contracting, the object is subjected to stress. The stress is compressive if the object expands in the absence of constraint and tensile if it contracts. This stress resulting from temperature change is known as thermal stress. It can be quite large and can cause damage. To avoid this stress, engineers may design components so they can expand and contract freely. For instance, on highways, gaps are deliberately...
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Thermal expansion and Thermal stress: Problem Solving01:27

Thermal expansion and Thermal stress: Problem Solving

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San Francisco's Golden Gate Bridge is exposed to temperatures ranging from -15 °C to 40 °C. At its coldest, the main span of the bridge is 1275 m long. Assuming that the bridge is made entirely of steel, what is the change in its length between these temperatures?
To solve the problem, first, identify the known and unknown quantities. The initial length (L) of the bridge is 1275 m, the coefficient of linear expansion (α) for steel is 12 x 10-6/°C, and the change in temperature (ΔT) is 55...
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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 Loads01:19

Distributed Loads

1.1K
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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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...
1.3K
Heating and Cooling Curves02:44

Heating and Cooling Curves

23.2K
When a substance—isolated from its environment—is subjected to heat changes, corresponding changes in temperature and phase of the substance is observed; this is graphically represented by heating and cooling curves.
For instance, the addition of heat raises the temperature of a solid; the amount of heat absorbed depends on the heat capacity of the solid (q = mcsolidΔT). According to thermochemistry, the relation between the amount of heat absorbed or released by a substance,...
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Related Experiment Videos

Prediction based proactive thermal virtual machine scheduling in green clouds.

Supriya Kinger1, Rajesh Kumar2, Anju Sharma2

  • 1Department of Computer Science and Engineering, SGGS World University, Fatehgarh Sahib, Punjab, India.

Thescientificworldjournal
|April 17, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces a proactive cloud resource scheduling technique considering server temperatures to reduce operating costs and environmental impact. The new method optimizes virtual machine placement, leading to significant energy savings and reduced cooling needs in cloud data centers.

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Area of Science:

  • Computer Science
  • Environmental Science

Background:

  • Cloud computing offers advanced features but faces challenges like high operating costs and environmental concerns.
  • Inefficient resource scheduling in cloud environments contributes to increased energy consumption and carbon footprints.

Purpose of the Study:

  • To propose a novel proactive technique for virtual machine (VM) scheduling in cloud computing.
  • To reduce operating costs and environmental hazards associated with cloud infrastructure.

Main Methods:

  • A proactive VM scheduling technique was developed, incorporating server machine (SM) current and maximum threshold temperatures.
  • A temperature predictor was utilized to inform scheduling decisions, aiming to prevent servers from reaching critical temperatures.
  • Various workload scenarios were simulated to evaluate the proposed system's performance.

Main Results:

  • The proposed temperature-aware VM scheduling system demonstrated superior performance compared to existing methods.
  • The technique effectively reduced the need for extensive cooling systems in cloud environments.
  • Validation confirmed a reduction in energy consumption and operational costs.

Conclusions:

  • Considering server temperature as a criterion for VM scheduling is an effective strategy for optimizing cloud resource management.
  • The proposed proactive approach enhances cloud efficiency, lowers operational expenses, and mitigates environmental impact.
  • This research contributes to developing more sustainable and cost-effective cloud computing solutions.