Improving cloud computing energy efficiency

2012 ◽  
Author(s):  
Awada Uchechukwu ◽  
Keqiu Li ◽  
Yanming Shen
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing

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.

scholarly journals SNMP for Cloud Environment Energy Efficiency

2021 ◽  
Author(s):  
Marta Chinnici ◽  
Asif Iqbal ◽  
ah lian kor ◽  
colin pattinson ◽  
eric rondeau
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Power Consumption ◽  
Empirical Evidence ◽  
Rapid Growth ◽  
Virtual Machines ◽  
Cloud Environment ◽  
Second Stage ◽  
The Core ◽  
Snmp Protocol

Abstract Cloud computing has seen rapid growth and environments are now providing multiple physical servers with several virtual machines running on those servers. Networks have grown larger and have become more powerful in recent years. A vital problem related to this advancement is that it has become increasingly complex to manage networks. SNMP is one standard which is applied as a solution to this management of networks problem. This work utilizes SNMP to explore the capabilities of SNMP protocol and its features for monitoring, control and automation of virtual machines and hypervisors. For this target, a stage-wise solution has been formed that obtains results of experiments from the first stage uses SNMPv3 and feed to the second stage for further processing and advancement. The target of the controlling experiments is to explore the extent of SNMP capability in the control of virtual machines running in a hypervisor, also in terms of energy efficiency. The core contribution based on real experiments is conducted to provide empirical evidence for the relation between power consumption and virtual machines.

Improving the Energy Efficiency in Cloud Computing Data Centres Through Resource Allocation Techniques

2017 ◽  
pp. 211-236 ◽  
Author(s):  
Belén Bermejo ◽  
Sonja Filiposka ◽  
Carlos Juiz ◽  
Beatriz Gómez ◽  
Carlos Guerrero
Keyword(s):  
Resource Allocation ◽  
Energy Efficiency ◽  
Cloud Computing ◽  
Data Centres

Performance Analysis for Provisioning and Energy Efficiency Distributed in Cloud Computing

2021 ◽  
pp. 73-81
Author(s):  
R. Ganesh Babu ◽  
D. Antony Joseph Rajan ◽  
Sudhanshu Maurya ◽  
P. Jayachandran
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Performance Analysis
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