scholarly journals Energy Efficient Load balancing Algorithm for Green Cloud

2016 ◽  
Vol V5 (03) ◽  
Author(s):  
Tanu Shree ◽  
Dr. Neelender Badal ◽  
Keyword(s):  
Load Balancing ◽  
Energy Efficient ◽  
Green Cloud ◽  
Load Balancing Algorithm

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).

scholarly journals Energy Efficient Dynamic Load Balancing Algorithm for Cloud Environment

2015 ◽  
Vol 120 (4) ◽  
pp. 30-33
Author(s):  
Akbarali kharodia ◽  
Rutvik Mehta ◽  
Miren Karmta ◽  
M.B.Potdar M.B.Potdar
Keyword(s):  
Load Balancing ◽  
Dynamic Load ◽  
Energy Efficient ◽  
Dynamic Load Balancing ◽  
Cloud Environment ◽  
Load Balancing Algorithm

Green Cloud Computing Strategies for Load Balancing

2020 ◽  
Vol 17 (6) ◽  
pp. 2695-2698
Author(s):  
Nitin Thapliyal ◽  
Priti Dimri
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Energy Efficient ◽  
Virtual Machines ◽  
Cost Effective ◽  
Cloud Services ◽  
Environmental Benefits ◽  
Cloud Database ◽  
Overall Efficiency ◽  
Green Cloud

Cloud computing nowadays has emerged as one of the important aspect to distributed computing. Organizations are adopting cloud computing (Escalnte, D. and Korty, A.J., 2011. Cloud services: Policy and assessment. EDUCAUSE Review 46(4).) for performance upgrading as one of parameter and also for cost effective computing. In same context to increase resource utilization and energy efficient techniques are developed using green cloud. These green datacenters provide overall efficiency to cloud database and thereby will be beneficial to distribute load to virtual machines. Green cloud therefore provides environmental benefits by reducing energy consumption by creating virtual machines and balancing there load. This paper will include detailed review for various load balancing strategies as algorithm which are applicable in any environment with respect to cloud and variety of parameter for load balancing.

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