The Issues Of Energy Efficiency In Cloud Computing Based Data Centers

2019 ◽  
Vol 12 (2) ◽  
pp. 485-490
Author(s):  
Anuj Kumar Yadav ◽  
M.L. Garg ◽  
Ritika Ritika
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Data Centers

scholarly journals Multi-Objective Service Placement Scheme Based on Fuzzy-AHP System for Distributed Cloud Computing

2019 ◽  
Vol 9 (17) ◽  
pp. 3550 ◽  
Author(s):  
A-Young Son ◽  
Eui-Nam Huh
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Response Time ◽  
Data Centers ◽  
Cloud Data ◽  
Multi Objective ◽  
Service Placement ◽  
Service Response Time ◽  
Cloud Data Centers ◽  
Distributed Cloud

With the rapid increase in the development of the cloud data centers, it is expected that massive data will be generated, which will decrease service response time for the cloud data centers. To improve the service response time, distributed cloud computing has been designed and researched for placement and migration from mobile devices close to edge servers that have secure resource computing. However, most of the related studies did not provide sufficient service efficiency for multi-objective factors such as energy efficiency, resource efficiency, and performance improvement. In addition, most of the existing approaches did not consider various metrics. Thus, to maximize energy efficiency, maximize performance, and reduce costs, we consider multi-metric factors by combining decision methods, according to user requirements. In order to satisfy the user’s requirements based on service, we propose an efficient service placement system named fuzzy- analytical hierarchical process and then analyze the metric that enables the decision and selection of a machine in the distributed cloud environment. Lastly, using different placement schemes, we demonstrate the performance of the proposed scheme.

scholarly journals Energy Efficiency Metrics of University Data Centers

2018 ◽  
Vol 1 (2) ◽  
pp. 64
Author(s):  
Lenonel Hernandez ◽  
Genett Jimenez ◽  
Piedad Marchena
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Large Volume ◽  
Data Center ◽  
Data Centers ◽  
Monitoring And Control ◽  
And Control ◽  
The Impact ◽  
Computing Infrastructure

The data centers are fundamental pieces in the network and computing infrastructure, and evidently today more than ever they are relevant. Since they support the processing, analysis, assurance of the data generated in the network and by the applications in the cloud, which every day increases its volume thanks to technologies such as Internet of Things, Virtualization, and cloud computing, among others. Precisely the management of this large volume of information makes the data centers consume a lot of energy, generating great concern to owners and administrators. Green Data Centers offer a solution to this problem, reducing the impact produced by the data centers in the environment, through the monitoring and control of these. The metrics are the tools that allow us to measure in our case the energy efficiency of the data center and evaluate if it is friendly to the environment. These metrics will be applied to the data centers of the ITSA University Institution, Barranquilla and Soledad campus, and the analysis of these will be carried out. In previous research, the most common metric (PUE) was analyzed to measure the efficiency of the data centers, to verify if the University's data center is friendly to the environment. It is planned to extend this study by carrying out an analysis of several metrics to conclude which is the most efficient and which allows defining the guidelines to update or convert the data center in a friendly environment. 

Green Cloud Computing

2014 ◽  
pp. 508-533
Author(s):  
Ahmed Abdul Hassan Al-Fatlawi ◽  
Seifedine Kadry
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Power Consumption ◽  
Data Center ◽  
Data Centers ◽  
Efficient Manner ◽  
Green Cloud Computing ◽  
Efficient Processing ◽  
Green Cloud ◽  
Problem Data

Green Cloud computing is envisioned to achieve not only efficient processing and utilization of computing but also to minimize energy consumption. This is essential for ensuring that the future growth of Cloud computing is sustainable. Otherwise, Cloud computing with increasingly pervasive client devices interacting with data centers will cause an enormous escalation of energy usage. To address this problem, data center resources need to be managed in an energy-efficient manner to drive Green Cloud computing. The management of power consumption in data centers has led to a number of substantial improvements in energy efficiency. Techniques such as ON/OFF mode on server of data centers improve the energy efficiency of Cloud computing. In this chapter, the authors present how to calculate power consumption in Cloud computing and how power consumption in a data center can be reduced when its storage is used in a way that decreases the time needed to access it.

scholarly journals Survey on Energy Efficiency in Cloud Computing

2019 ◽  
Vol 8 (1) ◽  
pp. 18-21
Author(s):  
Lakshmi Digra ◽  
Sharanjeet Singh
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Energy Consumption ◽  
Data Center ◽  
Energy Efficient ◽  
Large Scale ◽  
Data Centers ◽  
Energy Requirements ◽  
International Level ◽  
German Data

Data centers are serious, energy-hungry infrastructures that can run large scale Internet based services. Energy ingesting representations are essential in designing and improving energy-efficient operations to reduce excessive energy consumption in data centers. This paper presents a survey on Energy efficiency in data centers, importance of energy efficiency. It also describes the increasing demands for data center in worldwide and the reasons for data centers energy inefficient? In this paper we define the challenges for implementing changes in data centers and explain why and how the energy requirements of data centers are growing. After that we compare the German data center market at international level and we see the energy consumption of data centers and servers in Germany from 2010 -2016.

scholarly journals Performance and Energy Efficiency Metrics for Communication Systems of Cloud Computing Data Centers

2017 ◽  
Vol 5 (4) ◽  
pp. 738-750 ◽  
Author(s):  
Claudio Fiandrino ◽  
Dzmitry Kliazovich ◽  
Pascal Bouvry ◽  
Albert Y. Zomaya
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Communication Systems ◽  
Data Centers

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
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