SLA in Cloud Computing Architectures: A Comprehensive Study

Aljoumah, Eman; Al-Mousawi, Fajer; Ahmad, Imtiaz; Al-Shammri, Maha; Al-Jady, Zahraa

doi:10.14257/ijgdc.2015.8.5.02

Cited by 34 publications

(12 citation statements)

References 15 publications

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“…In this stage, an SLA is agreed upon by both parties (Table II). Due to the dynamic nature in cloud, continuous monitoring on Quality of Service (QoS) characteristics is essential to administer SLAs [13]. While preparing SLA, the following points should be considered from the cloud customer point of view: a) Everything should be written in SLA.…”

Section: A Business Contract Level Functionsmentioning

confidence: 99%

Comprehensive Interaction Model for Cloud Management

Adnan¹,

Majharul²,

Rifat³

et al. 2020

IJACSA

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Cloud computing is readily being adopted by enterprises due to its following benefits: ability to provide better service to customers, improved flexibility, lower barrier to entry for an enterprise, lower maintenance cost on IT service, availability etc. However, the interaction between cloud service provider and customer is not well-defined yet. Understanding of the service offered while approaching cloud computing paradigm and also understanding of the required actions during the period of receiving a cloud service e.g. provision of new resources, scaling up/down, billing, etc. remains a concern for the enterprises. This paper proposes a segregated interaction model to manage the receiving of a cloud service in a hierarchical way.

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Section: A Business Contract Level Functionsmentioning

confidence: 99%

Comprehensive Interaction Model for Cloud Management

Adnan¹,

Majharul²,

Rifat³

et al. 2020

IJACSA

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“…In Aljoumah et al (2015), authors discussed the requirements of SLA in cloud computing in detail and also discussed the different SLA metrics in cloud computing. The exiting cloud service monitoring is based on specific benchmark tests, which are not so accurate to find the performance of the cloud services.…”

Section: Related Workmentioning

confidence: 99%

Automatic cloud service monitoring and management with prediction-based service provisioning

Modi

Chowdhury

Garg

2018

IJCC

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As the number of users is increasing day by day over the cloud environment, service providers might be unable to offer service as per the agreement. Hence, cloud services being offered should be monitored to detect service level agreement violation. Most existing cloud service monitoring frameworks are developed to support the service provider only, which raises the question of correctness and fairness. On the other hand, if monitoring is applied at user side, then it creates overhead to the clients. To manage such issue, ontology-based automatic cloud services monitoring and management with prediction-based service provisioning approach is proposed in this paper. In this approach, monitoring is performed at cloud broker, which is an intermediate entity between the user and service provider. When service level agreement violation is detected, it sends alert to both clients and service providers, and broker automatically reschedules the tasks to reduce the further violations.

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“…They find that SLAs of cloud providers are lack of clear definition, especially in response time, data security and performance monitoring. Moreover, after exploring SLA metrics and comparing SLAs of current major cloud service providers, Aljoumah et al reveal that definition of SLA lacks standard, particularly in monitoring (Aljoumah et al, 2015). Baset investigates SLAs of compute and storage services offered by 5 IaaS and PaaS providers (Baset, 2012).…”

Section: Study On Cloud Slamentioning

confidence: 99%

A Competitive Penalty Model for Availability Based Cloud Sla

Yuan¹,

Tang²,

Liu³

et al. 2016

STCC

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Availability is one of the most essential attributes of qualities of cloud services. Most popular public cloud services claim availability commitments with corresponding penalties in their SLAs. To gain the maximal profits, cloud providers should choose an optimal penalty strategy in the competitive cloud market. In this paper, we firstly survey availability and penalty calculation methods of cloud providers. Based on the survey, we propose a competitive penalty model and a corresponding penalty based profit maximization algorithm for cloud providers. According to the model, each cloud provider would choose the best fit penalty strategy to gain the maximal expected profit during the game procedure. The proposed model is evaluated with real data of popular cloud providers with sensitive analysis, and is valuable for cloud providers to define their penalty strategy.

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SLA in Cloud Computing Architectures: A Comprehensive Study

Abstract: Cloud computing, the model for providing on-demand

Cited by 34 publications

References 15 publications

Comprehensive Interaction Model for Cloud Management

Comprehensive Interaction Model for Cloud Management

Automatic cloud service monitoring and management with prediction-based service provisioning

A Competitive Penalty Model for Availability Based Cloud Sla

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