Comparative Analysis Study of Various Techniques of Energy Efficiency in Cloud Computing

2019 ◽  
Vol 7 (10) ◽  
pp. 229-234
Author(s):  
Neeshu Sharma ◽  
Suresh Kumar Kaswan
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Comparative Analysis ◽  
Analysis Study

ON COMPARATIVE ANALYSIS OF PERFORMANCE OPTIMIZATION METHODS OF MULTI-PUMP UNITS

2020 ◽  
pp. 23-28
Author(s):  
A.I. Glushchenko ◽  
M.Yu. Serov
Keyword(s):  
Energy Efficiency ◽  
Control System ◽  
Comparative Analysis ◽  
Performance Optimization ◽  
Optimization Methods ◽  
Online Optimization ◽  
New Approach ◽  
Advantages And Disadvantages ◽  
Analysis Of Performance

В статье рассматривается вопрос совершенствования системы управления параллельно-работающими насосными агрегатами с целью повышения энергоэффективности их работы. Проведено сравнение и выявление недостатков существующих методов решения рассматриваемой проблемы. Предложена идея нового подхода на базе онлайн оптимизации. The problem under consideration is improvement of the energy efficiency of a control system of parallel-running pump units. Known methods used to solve this problem are considered. Their advantages and disadvantages are shown. Finally, the idea of a new approach, which is based on online optimization, is proposed.

Energy-Efficiency Model and Measuring Approach for Cloud Computing

2012 ◽  
Vol 23 (2) ◽  
pp. 200-214 ◽  
Author(s):  
Jie SONG ◽  
Tian-Tian LI ◽  
Zhen-Xing YAN ◽  
Jun NA ◽  
Zhi-Liang ZHU
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing

Energy Efficiency in Cloud Computing

2015 ◽  
Author(s):  
Anil Prasad Barnwal ◽  
V. S. Dixit
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing

The Research of Measuring Approach and Energy Efficiency for Hadoop Periodic Jobs

2015 ◽  
Vol 8 (1) ◽  
pp. 206-210 ◽  
Author(s):  
Yu Junyang ◽  
Hu Zhigang ◽  
Han Yuanyuan
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Energy Consumption ◽  
Energy Saving ◽  
Energy Estimate ◽  
Cloud Platform ◽  
Periodic Tasks ◽  
Current Consumption ◽  
Reduce Energy Consumption

Current consumption of cloud computing has attracted more and more attention of scholars. The research on Hadoop as a cloud platform and its energy consumption has also received considerable attention from scholars. This paper presents a method to measure the energy consumption of jobs that run on Hadoop, and this method is used to measure the effectiveness of the implementation of periodic tasks on the platform of Hadoop. Combining with the current mainstream of energy estimate formula to conduct further analysis, this paper has reached a conclusion as how to reduce energy consumption of Hadoop by adjusting the split size or using appropriate size of workers (servers). Finally, experiments show the effectiveness of these methods as being energy-saving strategies and verify the feasibility of the methods for the measurement of periodic tasks at the same time.

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