Charge-based analytical model for the evaluation of power consumption in submicron CMOS buffers

2002 ◽  
Vol 21 (4) ◽  
pp. 433-448 ◽  
Author(s):  
J.L. Rossello ◽  
J. Segura
Keyword(s):  
Power Consumption ◽  
Analytical Model ◽  
Submicron Cmos

An analytical model for the power consumption of Dual‐Mode EEE

2016 ◽  
Vol 52 (15) ◽  
pp. 1308-1310 ◽  
Author(s):  
M. Mostowfi ◽  
K. Shafie
Keyword(s):  
Power Consumption ◽  
Analytical Model ◽  
Dual Mode

scholarly journals Randomized routing of virtual machines in IaaS data centers

2019 ◽  
Vol 5 ◽  
pp. e211
Author(s):  
Hadi Khani ◽  
Hamed Khanmirza
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Power Consumption ◽  
Analytical Model ◽  
Data Center ◽  
Large Scale ◽  
Data Centers ◽  
Virtual Machines ◽  
General Distribution

Cloud computing technology has been a game changer in recent years. Cloud computing providers promise cost-effective and on-demand resource computing for their users. Cloud computing providers are running the workloads of users as virtual machines (VMs) in a large-scale data center consisting a few thousands physical servers. Cloud data centers face highly dynamic workloads varying over time and many short tasks that demand quick resource management decisions. These data centers are large scale and the behavior of workload is unpredictable. The incoming VM must be assigned onto the proper physical machine (PM) in order to keep a balance between power consumption and quality of service. The scale and agility of cloud computing data centers are unprecedented so the previous approaches are fruitless. We suggest an analytical model for cloud computing data centers when the number of PMs in the data center is large. In particular, we focus on the assignment of VM onto PMs regardless of their current load. For exponential VM arrival with general distribution sojourn time, the mean power consumption is calculated. Then, we show the minimum power consumption under quality of service constraint will be achieved with randomize assignment of incoming VMs onto PMs. Extensive simulation supports the validity of our analytical model.

scholarly journals Performance and power analysis for high performance computation benchmarks

2013 ◽  
Vol 3 (1) ◽  
pp. 1-16
Author(s):  
Joseph Issa
Keyword(s):  
Power Consumption ◽  
Analytical Model ◽  
Power Analysis ◽  
High Performance ◽  
Measured Data ◽  
Performance Model ◽  
Performance Estimation ◽  
And Behavior ◽  
Performance Computing ◽  
High Performance Computation

AbstractPerformance and power consumption analysis and characterization for computational benchmarks is important for processor designers and benchmark developers. In this paper, we characterize and analyze different High Performance Computing workloads. We analyze benchmarks characteristics and behavior on various processors and propose a performance estimation analytical model to predict performance for different processor microarchitecture parameters. Performance model is verified to predict performance within <5% error margin between estimated and measured data for different processors. We also propose a power estimation analytical model to estimate power consumption with low error deviation.

scholarly journals Analytical model of Kuwait power consumption

2016 ◽  
Author(s):  
Naser A. N. Muhaisen ◽  
Musse Mohamud Ahmed ◽  
Sheroz Khan ◽  
Mohamed H. Habaebi ◽  
Nabil A. Ahmed ◽  
...  
Keyword(s):  
Power Consumption ◽  
Analytical Model

Analytical model for switching transitions of submicron CMOS logics

1997 ◽  
Vol 32 (6) ◽  
pp. 880-889 ◽  
Author(s):  
Heung-Joon Park ◽  
M. Soma
Keyword(s):  
Analytical Model ◽  
Submicron Cmos

scholarly journals Numerical and Analytical Study of a Battery Powered Vehicle Moving in a Vacuum Tunnel

2020 ◽  
Vol 11 (1) ◽  
pp. 26
Author(s):  
Krystian Machaj ◽  
Ziemowit Malecha ◽  
Piotr Wrzecioniarz
Keyword(s):  
Heat Transfer ◽  
Power Consumption ◽  
Drag Coefficient ◽  
Analytical Model ◽  
Analytical Study ◽  
Numerical Calculations ◽  
Flow Conditions ◽  
Analytical Analysis ◽  
Insight Into ◽  
Transfer Study

The present work focuses on an aerodynamic and heat transfer study of a battery powered vehicle moving in a vacuum tunnel. The conducted research was based on analytical analysis and numerical calculations. Four different vacuum levels in the tunnel were considered—100 Pa, 1 kPa, 10 kPa and 100 kPa—and two distinct velocities of the vehicle—125 and 166 m/s—to address subsonic and supersonic conditions. It allowed defining limitations related to vacuum transportation in terms of velocity of the vehicle and a blocking ratio of the tunnel. Power consumption and drag coefficient for the considered tunnel pressures were analyzed. The cooling analysis of the batteries by passing air was performed numerically and analytically in the function of flow conditions in the tunnel. It gave some insight into main problems related to cooling of the batteries under low pressure and possible directions to solve it. It was shown that the proposed analytical model compared satisfactorily with the numerical results.

Compositional Tuning of Negative Differential Resistance in Bulk Silver Iodide Memristor

2020 ◽  
Author(s):  
SMITA GAJANAN NAIK ◽  
Mohammad Hussain Kasim Rabinal
Keyword(s):  
Power Consumption ◽  
Negative Differential Resistance ◽  
Silver Iodide ◽  
Differential Resistance ◽  
Fast Response ◽  
Low Power Consumption ◽  
Switching Effect ◽  
Memory Switching ◽  
Bulk Silver ◽  
Emerging Memory

Electrical memory switching effect has received a great interest to develop emerging memory technology such as memristors. The high density, fast response, multi-bit storage and low power consumption are their...

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