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

被引：2
|
作者：
Jeevitha, J. K. [1 ]
Athisha, G. [2 ]
机构：
[1] PSNA Coll Engn & Technol, Dept Informat Technol, Dindigul, Tamil Nadu, India
[2] PSNA Coll Engn & Technol, Dept Elect & Commun Engn, Dindigul, Tamil Nadu, India
来源：
INTERNATIONAL JOURNAL OF INFORMATION RETRIEVAL RESEARCH | 2021年 / 11卷 / 03期
关键词：
Cloud Computing; Data Centers; Load Balancing; Task Scheduling; CONSOLIDATION;
D O I：
10.4018/IJIRR.2021070103
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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).
引用
收藏
页码：34 / 48
页数：15
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