Green Cloud: An Energy Efficient Load Balancing Approach Using Global Load Optimization

2014 ◽  
Vol 9 (8) ◽  
pp. 1408 ◽  
Author(s):  
D. S. Shaji ◽  
E. Baburaj
Keyword(s):  
Load Balancing ◽  
Energy Efficient ◽  
Load Optimization ◽  
Green Cloud

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.

Energy-efficient user association with load-balancing for cooperative IIoT network within B5G era

2021 ◽  
pp. 103110
Author(s):  
Xin Jian ◽  
Langyun Wu ◽  
Keping Yu ◽  
Moayad Aloqaily ◽  
Jalel Ben-Othman
Keyword(s):  
Load Balancing ◽  
Energy Efficient ◽  
User Association

scholarly journals A Survey on Investigating the Need for Intelligent Power-Aware Load Balanced Routing Protocols for Handling Critical Links in MANETs

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
B. Sivakumar ◽  
N. Bhalaji ◽  
D. Sivakumar
Keyword(s):  
Load Balancing ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Ad Hoc ◽  
Recent Literature ◽  
Mobile Nodes ◽  
Critical Nodes ◽  
Mobile Ad Hoc ◽  
Critical Links ◽  
Hoc Networks

In mobile ad hoc networks connectivity is always an issue of concern. Due to dynamism in the behavior of mobile nodes, efficiency shall be achieved only with the assumption of good network infrastructure. Presence of critical links results in deterioration which should be detected in advance to retain the prevailing communication setup. This paper discusses a short survey on the specialized algorithms and protocols related to energy efficient load balancing for critical link detection in the recent literature. This paper also suggests a machine learning based hybrid power-aware approach for handling critical nodes via load balancing.

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