scholarly journals CloudSwitch: A State-aware Monitoring Strategy Towards Energy-efficient and Performance-aware Cloud Data Centers

2015 ◽  
Vol 9 (12) ◽  
Keyword(s):  
Energy Efficient ◽  
Data Centers ◽  
Monitoring Strategy ◽  
Cloud Data ◽  
Cloud Data Centers ◽  
And Performance

scholarly journals Energy Efficiency in Virtualized Data Center

2018 ◽  
Vol 7 (4.15) ◽  
pp. 315
Author(s):  
Tehmina Karamat Khan ◽  
Mohsin Tanveer ◽  
Asadullah Shah
Keyword(s):  
Energy Efficiency ◽  
Data Center ◽  
Energy Efficient ◽  
Data Centers ◽  
Efficient Operation ◽  
Cloud Data ◽  
Academic Communities ◽  
Cloud Application ◽  
Cloud Data Centers ◽  
And Performance

Industrial and academic communities have been trying to get more computational power out of their investments. Data centers have recently received huge attention due to its increased business value and achievable scalability on public/private clouds. Infra-structure and applications of modern data center is being virtualized to achieve energy efficient operation on servers. Despite of data center advantages on performance, there is a tradeoff between power and performance especially with cloud data centers. Today, these cloud application-based organizations are facing many energy related challenges. In this paper, through survey it has been analyzed how virtualization and networking related challenges affects energy efficiency of data center with suggested optimization strategies. 

An Energy-Efficient Consolidation of Virtual Machines in Cloud Data Centers

2017 ◽  
Vol 26 (1) ◽  
pp. 113-128
Author(s):  
Gamal Eldin I. Selim ◽  
Mohamed A. El-Rashidy ◽  
Nawal A. El-Fishawy
Keyword(s):  
Energy Efficient ◽  
Data Centers ◽  
Virtual Machines ◽  
Cloud Data ◽  
Cloud Data Centers

Type-aware virtual machine management for energy efficient cloud data centers

2018 ◽  
Vol 19 ◽  
pp. 185-203 ◽  
Author(s):  
Auday Al-Dulaimy ◽  
Wassim Itani ◽  
Rached Zantout ◽  
Ahmed Zekri
Keyword(s):  
Virtual Machine ◽  
Energy Efficient ◽  
Data Centers ◽  
Cloud Data ◽  
Cloud Data Centers

Energy-Efficient Virtualized Scheduling and Load Balancing Algorithm in Cloud Data Centers

2021 ◽  
Vol 11 (3) ◽  
pp. 34-48
Author(s):  
J. K. Jeevitha ◽  
Athisha G.
Keyword(s):  
Quality Of Service ◽  
Load Balancing ◽  
Energy Efficient ◽  
Data Centers ◽  
Scheduling Algorithm ◽  
Cloud Data ◽  
The Third ◽  
Cloud Data Centers ◽  
Load Balancing Algorithm

To scale back the energy consumption, this paper proposed three algorithms: The first one is identifying the load balancing factors and redistribute the load. The second one is finding out the most suitable server to assigning the task to the server, achieved by most efficient first fit algorithm (MEFFA), and the third algorithm is processing the task in the server in an efficient way by energy efficient virtual round robin (EEVRR) scheduling algorithm with FAT tree topology architecture. This EEVRR algorithm improves the quality of service via sending the task scheduling performance and cutting the delay in cloud data centers. It increases the energy efficiency by achieving the quality of service (QOS).

Sign in / Sign up

Export Citation Format

Share Document