scholarly journals Rethinking DRAM Power Modes for Energy Proportionality

2012 ◽  
Author(s):  
Krishna T. Malladi ◽  
Ian Shaeffer ◽  
Liji Gopalakrishnan ◽  
David Lo ◽  
Benjamin C. Lee ◽  
...  
Keyword(s):  
Energy Proportionality

Comparison of Instantaneous Power from Variable Shock Loads in Time Based on the Dissipation Model

2013 ◽  
Vol 405-408 ◽  
pp. 3178-3181
Author(s):  
Marlena Rajczyk
Keyword(s):  
Differential Equation ◽  
Order Differential Equation ◽  
Function Analysis ◽  
Vibration Energy ◽  
Impact Loads ◽  
Driving Function ◽  
Instantaneous Power ◽  
Energy Proportionality ◽  
Dissipation Model ◽  
The Masses

The results of the analysis of the vibration energy from impact loads varying in time using the dissipation model. On the basis of the solutions resulting from the model of the second order differential equation with variable driving function analysis was performed at the time of the FFT function of the displacement of dissipation points by the adopted and specified matrix values of the masses, elasticity and damping. Spectral analysis is based on the compounds resulting from the vibration energy proportionality, as a momentary power surge force, to the sum of the product of the squares of the displacement and squares of the vibration frequency.

Trends in Server Energy Proportionality

Computer ◽  
2011 ◽  
Vol 44 (9) ◽  
pp. 69-72 ◽  
Author(s):  
Frederick Ryckbosch ◽  
Stijn Polfliet ◽  
Lieven Eeckhout
Keyword(s):  
Energy Proportionality

Ecope: Task Aware Workload Elastic Scheduling and Customization for Infrastructure

2018 ◽  
Vol 6 (6) ◽  
pp. 52
Author(s):  
Shifaliya Banu ◽  
M. Prabakar
Keyword(s):  
Virtual Machine ◽  
Data Centers ◽  
Large Data ◽  
Functional Requirement ◽  
The Past ◽  
Energy Proportionality ◽  
Content Processing ◽  
Elastic Scheduling ◽  
Data Centres ◽  
File Processing

In the past several years, the development in non functional requirement such as CPU and memory has been    done. Due to the workload characteristics the energy efficiency of non functional component has made a large coverage. We develop Ecope to attain energy proportionality for different methods of services of virtual machine in data centres’ decrease non functional energy for servers in large data centers. Demonstrate three input methods to illustrate our concept to real world services such as file processing, backend services and content processing. These services are applying on virtual machine in large data centers. In short, our aim is to recognize the preeminent non functional configuration among various workloads.

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