Cover Image

Dynamic Load Balancing Model Based on Server Status (DLBS) for Green Computing

There could be problems with server quality when resources are limited and this could lead to poor service delivery to the clients. Therefore, a strong load balancing technique is required that helps in the optimization of resource utilization. Cloud servers with correlated load balancer can assist...

Full description

Saved in:
Bibliographic Details
Main Authors: Hasan, Raed Abdulkareem, Mohammed, Muamer N., M. A., Ameedeen, Khalaf, Emad Taha
Format: Article
Language:English
Published: American Scientific Publishers 2018
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/22428/1/Dynamic%20Load%20Balancing%20Model%20Based%20on%20Server%20Status.pdf
http://umpir.ump.edu.my/id/eprint/22428/
https://doi.org/10.1166/asl.2018.13016
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.ump.umpir.22428
record_format eprints
spelling my.ump.umpir.224282018-10-18T08:24:17Z http://umpir.ump.edu.my/id/eprint/22428/ Dynamic Load Balancing Model Based on Server Status (DLBS) for Green Computing Hasan, Raed Abdulkareem Mohammed, Muamer N. M. A., Ameedeen Khalaf, Emad Taha QA75 Electronic computers. Computer science There could be problems with server quality when resources are limited and this could lead to poor service delivery to the clients. Therefore, a strong load balancing technique is required that helps in the optimization of resource utilization. Cloud servers with correlated load balancer can assist in optimizing the load balancing practicability in cloud computing. In this paper, a load balancing model (DLBS) is proposed for effective load balancing and resource optimization in public cloud. A load balancing model was designed and implemented using Amazon EC2. Each server was equipped with a load balancer which monitors the load and sends status information to the controller. The servers with fewer loads were given more requests while the overloaded ones were not given further requests. The Amazon Web Services (AWS) was used to demonstrate the proof of concept. The results revealed that the proposed solution improved performance, throughput, and utilization of cloud resources. American Scientific Publishers 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22428/1/Dynamic%20Load%20Balancing%20Model%20Based%20on%20Server%20Status.pdf Hasan, Raed Abdulkareem and Mohammed, Muamer N. and M. A., Ameedeen and Khalaf, Emad Taha (2018) Dynamic Load Balancing Model Based on Server Status (DLBS) for Green Computing. Advanced Science Letters, 24 (10). pp. 7777-7782. ISSN 1936-6612 https://doi.org/10.1166/asl.2018.13016 doi: 10.1166/asl.2018.13016
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Hasan, Raed Abdulkareem
Mohammed, Muamer N.
M. A., Ameedeen
Khalaf, Emad Taha
Dynamic Load Balancing Model Based on Server Status (DLBS) for Green Computing
description There could be problems with server quality when resources are limited and this could lead to poor service delivery to the clients. Therefore, a strong load balancing technique is required that helps in the optimization of resource utilization. Cloud servers with correlated load balancer can assist in optimizing the load balancing practicability in cloud computing. In this paper, a load balancing model (DLBS) is proposed for effective load balancing and resource optimization in public cloud. A load balancing model was designed and implemented using Amazon EC2. Each server was equipped with a load balancer which monitors the load and sends status information to the controller. The servers with fewer loads were given more requests while the overloaded ones were not given further requests. The Amazon Web Services (AWS) was used to demonstrate the proof of concept. The results revealed that the proposed solution improved performance, throughput, and utilization of cloud resources.
format Article
author Hasan, Raed Abdulkareem
Mohammed, Muamer N.
M. A., Ameedeen
Khalaf, Emad Taha
author_facet Hasan, Raed Abdulkareem
Mohammed, Muamer N.
M. A., Ameedeen
Khalaf, Emad Taha
author_sort Hasan, Raed Abdulkareem
title Dynamic Load Balancing Model Based on Server Status (DLBS) for Green Computing
title_short Dynamic Load Balancing Model Based on Server Status (DLBS) for Green Computing
title_full Dynamic Load Balancing Model Based on Server Status (DLBS) for Green Computing
title_fullStr Dynamic Load Balancing Model Based on Server Status (DLBS) for Green Computing
title_full_unstemmed Dynamic Load Balancing Model Based on Server Status (DLBS) for Green Computing
title_sort dynamic load balancing model based on server status (dlbs) for green computing
publisher American Scientific Publishers
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/22428/1/Dynamic%20Load%20Balancing%20Model%20Based%20on%20Server%20Status.pdf
http://umpir.ump.edu.my/id/eprint/22428/
https://doi.org/10.1166/asl.2018.13016
_version_ 1643669378292514816
score 13.211869

Similar Items