A Survey on Improving QoS in Service Level Agreement for Cloud Computing Environment

Cloud computing is considered one of the most important techniques in the field of distributed computing which contributes to maintain increased scalability and flexibility in computer processing. This is achieved because it, using the Internet, provides different resources and shared services with...

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Autores principales:	Afaf Edinat, Rizik M. H. Al-Sayyed, Amjad Hudaib
Formato:	article
Lenguaje:	EN
Publicado:	International Association of Online Engineering (IAOE) 2021
Materias:	cloud computing quality of service service level agreement reinforcement learning deep reinforcement learning Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/a30e84c172534e42814223524ae98ef6
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spelling	oai:doaj.org-article:a30e84c172534e42814223524ae98ef62021-12-02T17:56:44ZA Survey on Improving QoS in Service Level Agreement for Cloud Computing Environment1865-792310.3991/ijim.v15i21.26379https://doaj.org/article/a30e84c172534e42814223524ae98ef62021-11-01T00:00:00Zhttps://online-journals.org/index.php/i-jim/article/view/26379https://doaj.org/toc/1865-7923Cloud computing is considered one of the most important techniques in the field of distributed computing which contributes to maintain increased scalability and flexibility in computer processing. This is achieved because it, using the Internet, provides different resources and shared services with minimum costs. Cloud service providers (CSPs) offer many different services to their customers, where the customers’ needs are met seeking the highest levels of quality at the lowest considerate prices. The relationship between CSPs and customers must be determined in a formal agreement, and to ensure how the QoS between them will be fulfilled, a clear Service Level Agreement (SLA) must be called for. Several previously-proposed models used in the literature to improve the QoS in the SLA for cloud computing and to face many of the challenges in the SLA are reviewed in this paper. We also addressed the challenges that are related to the violations of SLAs, and how overcoming them will enhance customers’ satisfaction. Furthermore, we proposed a model based on Deep Reinforcement Learning (DRL) and an enhanced DRL agent (EDRLA). In this model, and by optimizing the learning process in EDRLA, proposed agents would be able to have optimal CSPs by improving the learning process in EDRLA. This improvement will be reflected in the agent's performance and considerably affect it, especially in identifying cloud computing requirements based on the QoS metrics.Afaf EdinatRizik M. H. Al-SayyedAmjad HudaibInternational Association of Online Engineering (IAOE)articlecloud computingquality of serviceservice level agreementreinforcement learningdeep reinforcement learningTelecommunicationTK5101-6720ENInternational Journal of Interactive Mobile Technologies, Vol 15, Iss 21, Pp 119-143 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cloud computing quality of service service level agreement reinforcement learning deep reinforcement learning Telecommunication TK5101-6720
spellingShingle	cloud computing quality of service service level agreement reinforcement learning deep reinforcement learning Telecommunication TK5101-6720 Afaf Edinat Rizik M. H. Al-Sayyed Amjad Hudaib A Survey on Improving QoS in Service Level Agreement for Cloud Computing Environment
description	Cloud computing is considered one of the most important techniques in the field of distributed computing which contributes to maintain increased scalability and flexibility in computer processing. This is achieved because it, using the Internet, provides different resources and shared services with minimum costs. Cloud service providers (CSPs) offer many different services to their customers, where the customers’ needs are met seeking the highest levels of quality at the lowest considerate prices. The relationship between CSPs and customers must be determined in a formal agreement, and to ensure how the QoS between them will be fulfilled, a clear Service Level Agreement (SLA) must be called for. Several previously-proposed models used in the literature to improve the QoS in the SLA for cloud computing and to face many of the challenges in the SLA are reviewed in this paper. We also addressed the challenges that are related to the violations of SLAs, and how overcoming them will enhance customers’ satisfaction. Furthermore, we proposed a model based on Deep Reinforcement Learning (DRL) and an enhanced DRL agent (EDRLA). In this model, and by optimizing the learning process in EDRLA, proposed agents would be able to have optimal CSPs by improving the learning process in EDRLA. This improvement will be reflected in the agent's performance and considerably affect it, especially in identifying cloud computing requirements based on the QoS metrics.
format	article
author	Afaf Edinat Rizik M. H. Al-Sayyed Amjad Hudaib
author_facet	Afaf Edinat Rizik M. H. Al-Sayyed Amjad Hudaib
author_sort	Afaf Edinat
title	A Survey on Improving QoS in Service Level Agreement for Cloud Computing Environment
title_short	A Survey on Improving QoS in Service Level Agreement for Cloud Computing Environment
title_full	A Survey on Improving QoS in Service Level Agreement for Cloud Computing Environment
title_fullStr	A Survey on Improving QoS in Service Level Agreement for Cloud Computing Environment
title_full_unstemmed	A Survey on Improving QoS in Service Level Agreement for Cloud Computing Environment
title_sort	survey on improving qos in service level agreement for cloud computing environment
publisher	International Association of Online Engineering (IAOE)
publishDate	2021
url	https://doaj.org/article/a30e84c172534e42814223524ae98ef6
work_keys_str_mv	AT afafedinat asurveyonimprovingqosinservicelevelagreementforcloudcomputingenvironment AT rizikmhalsayyed asurveyonimprovingqosinservicelevelagreementforcloudcomputingenvironment AT amjadhudaib asurveyonimprovingqosinservicelevelagreementforcloudcomputingenvironment AT afafedinat surveyonimprovingqosinservicelevelagreementforcloudcomputingenvironment AT rizikmhalsayyed surveyonimprovingqosinservicelevelagreementforcloudcomputingenvironment AT amjadhudaib surveyonimprovingqosinservicelevelagreementforcloudcomputingenvironment
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A Survey on Improving QoS in Service Level Agreement for Cloud Computing Environment

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