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Load balancing and server consolidation in cloud computing environments: a meta-study

The data-center is considered the heart of cloud computing. Recently, the growing demand for cloud computing services has caused a growing load on data centers. In terms of system behavior and workload, patterns of cloud computing are very dynamic; and that might serve to imbalance the load among da...

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Main Authors: Fadhil, Mohammed Alaa, Othman, Mohamed
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers 2019
Online Access:http://psasir.upm.edu.my/id/eprint/81242/1/CLOUD.pdf
http://psasir.upm.edu.my/id/eprint/81242/
https://ieeexplore.ieee.org/abstract/document/8852632
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spelling my.upm.eprints.812422021-06-16T03:00:44Z http://psasir.upm.edu.my/id/eprint/81242/ Load balancing and server consolidation in cloud computing environments: a meta-study Fadhil, Mohammed Alaa Othman, Mohamed The data-center is considered the heart of cloud computing. Recently, the growing demand for cloud computing services has caused a growing load on data centers. In terms of system behavior and workload, patterns of cloud computing are very dynamic; and that might serve to imbalance the load among data center resources. Eventually, some data-center resources could come to be over-loaded/under-loaded, which leads to an increase in energy consumption in addition to decreased functioning and wastage of resources. Just considering energy-efficiency (that can be attained efficiently by consolidate the servers) may not be enough for real applications because it may cause problems such as unbalanced load for each Physical Machine (PM). Therefore, this paper surveys published load balancing algorithms that achieved by server consolidation via a meta-analysis. Load balancing with server consolidation enriches the exploitation of resource utilization and can enhance Quality of Service (QoS) metrics, since data-centers and their applications are increasing exponentially. This meta-study, reviews the literature on load balancing and server consolidation and presents a ready reference taxonomy on the most efficient algorithms that achieve load balancing and server consolidation. This work attempts to present a taxonomy with a new classification for load balancing and server consolidation, such as migration overhead, hardware threshold, network traffic, and reliability. Institute of Electrical and Electronics Engineers 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/81242/1/CLOUD.pdf Fadhil, Mohammed Alaa and Othman, Mohamed (2019) Load balancing and server consolidation in cloud computing environments: a meta-study. IEEE Access, 7. pp. 141868-141887. ISSN 2169-3536 https://ieeexplore.ieee.org/abstract/document/8852632 10.1109/ACCESS.2019.2944420
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description The data-center is considered the heart of cloud computing. Recently, the growing demand for cloud computing services has caused a growing load on data centers. In terms of system behavior and workload, patterns of cloud computing are very dynamic; and that might serve to imbalance the load among data center resources. Eventually, some data-center resources could come to be over-loaded/under-loaded, which leads to an increase in energy consumption in addition to decreased functioning and wastage of resources. Just considering energy-efficiency (that can be attained efficiently by consolidate the servers) may not be enough for real applications because it may cause problems such as unbalanced load for each Physical Machine (PM). Therefore, this paper surveys published load balancing algorithms that achieved by server consolidation via a meta-analysis. Load balancing with server consolidation enriches the exploitation of resource utilization and can enhance Quality of Service (QoS) metrics, since data-centers and their applications are increasing exponentially. This meta-study, reviews the literature on load balancing and server consolidation and presents a ready reference taxonomy on the most efficient algorithms that achieve load balancing and server consolidation. This work attempts to present a taxonomy with a new classification for load balancing and server consolidation, such as migration overhead, hardware threshold, network traffic, and reliability.
format Article
author Fadhil, Mohammed Alaa
Othman, Mohamed
spellingShingle Fadhil, Mohammed Alaa
Othman, Mohamed
Load balancing and server consolidation in cloud computing environments: a meta-study
author_facet Fadhil, Mohammed Alaa
Othman, Mohamed
author_sort Fadhil, Mohammed Alaa
title Load balancing and server consolidation in cloud computing environments: a meta-study
title_short Load balancing and server consolidation in cloud computing environments: a meta-study
title_full Load balancing and server consolidation in cloud computing environments: a meta-study
title_fullStr Load balancing and server consolidation in cloud computing environments: a meta-study
title_full_unstemmed Load balancing and server consolidation in cloud computing environments: a meta-study
title_sort load balancing and server consolidation in cloud computing environments: a meta-study
publisher Institute of Electrical and Electronics Engineers
publishDate 2019
url http://psasir.upm.edu.my/id/eprint/81242/1/CLOUD.pdf
http://psasir.upm.edu.my/id/eprint/81242/
https://ieeexplore.ieee.org/abstract/document/8852632
_version_ 1703962151578763264
score 13.211869

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