A Survey on SLA Management for Cloud Computing and Cloud-Hosted Big Data Analytic Applications

Sahal, Radhya; Khafagy, Mohamed Helmy; Omara, Fatma A.

doi:10.14257/ijdta.2016.9.4.10

Cited by 19 publications

(8 citation statements)

References 25 publications

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“…Currently, there is no standard framework that helps customers to rate and classify the services provided by the cloud based on their own needs. However, QoS parameters are seen as the main components of SLAs that work to achieve a set of Service Level Objectives (SLOs) for the aim of satisfying customers' needs and preventing any of SLA violations to happen [11]. So, a CSP must maintain QoS parameters in the SLAs.…”

Section: Sla Template Constructionmentioning

confidence: 99%

“…All in all, Scaling and automating SLA can help in coping with dynamic changes in the environment, and this can be achieved through SLA management [11] [53]. To address different types of challenges, different techniques have been proposed; however, there is not enough research done to manage QoS from a general perspective for all cloud computing models in one framework.…”

Section: Analysis Modelsmentioning

confidence: 99%

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

Edinat

Al-Sayyed

Hudaib

2021

Int. J. Interact. Mob. Technol.

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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.

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Section: Sla Template Constructionmentioning

confidence: 99%

Section: Analysis Modelsmentioning

confidence: 99%

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

Edinat

Al-Sayyed

Hudaib

2021

Int. J. Interact. Mob. Technol.

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“…Yet others, such as [25][26][27], consider the problem of SLA management as an optimization problem in which consumer satisfaction is increased by ensuring the provisioning of promised QoS and increasing the revenue of the provider. The authors in [28] categorize SLA violation management into two classes -SLA management for cloud and SLA management for cloud-hosted big data analytic applications. They mainly focus on monitoring the single layer while optimizing services by considering QoS parameters.…”

Section: Classification Of Sla Management Approaches To Detect Possibmentioning

confidence: 99%

Formulating and managing viable SLAs in cloud computing from a small to medium service provider's viewpoint: A state-of-the-art review

Hussain

et al. 2017

Information Systems

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This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Highlights  Presents a state of the art review on SLA management from service provider side in Cloud Computing.  Presents a critical evaluation of the existing work and identifies the research gaps to be addressed for provider-side Cloud service management. A thorough literature review in the existing area is presented.  Presents an overview of our proposed framework OPV-SLA framework to address the identified issues and validates the results on a cloud dataset.

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“…The need for distributed computing is become an important issue due to the increasing of workstations power and the data sets sizes. The development and implementation of distributed system for Big Data applications are considered a challenge [1][2][3]. One of the popular frameworks that have emerged for Big Data processing is MapReduce.…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Multi-query Optimization Techniques using Shared Predicate-based for Big Data

Sahal¹,

Khafagy

Omara³

2016

IJGDC

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A Survey on SLA Management for Cloud Computing and Cloud-Hosted Big Data Analytic Applications

Abstract: Abstract

Cited by 19 publications

References 25 publications

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

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

Formulating and managing viable SLAs in cloud computing from a small to medium service provider's viewpoint: A state-of-the-art review

Comparative Study of Multi-query Optimization Techniques using Shared Predicate-based for Big Data

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