A Survey on SLA and Performance Measurement in Cloud Computing

Alhamad, Mohammed; Dillon, Tharam S.; Chang, Elizabeth

doi:10.1007/978-3-642-25106-1_4

Cited by 15 publications

(6 citation statements)

References 9 publications

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“…The results provide the ability to identify the minimum cloud resources needed using a predictive approach and enable resources provisioning to be adapted automatically Alhamad et al [54] SLA management, trust, and performance measurement of cloud computing…”

Section: Yes (Validated)mentioning

confidence: 98%

Quality of service approaches in cloud computing: A systematic mapping study

Abdelmaboud

Jawawi

Ghani

et al. 2015

Journal of Systems and Software

119

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Section: Yes (Validated)mentioning

confidence: 98%

Quality of service approaches in cloud computing: A systematic mapping study

Abdelmaboud

Jawawi

Ghani

et al. 2015

Journal of Systems and Software

119

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“…As trust, managerial capability and technical capability have a significant relationship with cloud-deployment performance [13], SLAs should be understood by both cloud experts and non-experts so that common performance indicators can be recognised. Unfortunately, as stated in [14], SLA frameworks are focused on technical attributes and do neither take into account security nor other business related non-functional properties. Moreover, resources measuring techniques need further refinement to be applied in the cloud context in order (1) to ensure some level of trust between service providers and customers, (2) to provide a flexible and agile way to tune performance metrics parameters and (3) to support real costs evaluation means.…”

Section: Adapting Qos Management and Governance To Multi-cloud Systemsmentioning

confidence: 99%

Multi-dimensional Model Driven Policy Generation

Ouedraogo

Biennier

2014

Communications in Computer and Information Science

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Abstract. As Cloud Computing provides agile and scalable IT infrastructure, QoS-assured services and customizable computing environment, it increases the call for agile and dynamic deployment and governance environments over multi-cloud infrastructure. By now, governance and Non Functional Properties (such as security, QoS…) are managed in a static way, limiting the global benefits of deploying service-based information system over multi-cloud environments. To overcome this limit, we propose a contextualised policy generation process to allow both an agile management NFP in a multi-cloud context and a secured deployment of the service-based information system. The last step of this Model Driven Policy Engineering approach uses policies as Model@runtime to select, compose, deploy and orchestrate NFP management functions depending on the exact execution context. Moreover, a dynamic governance loop including autonomic KPI management is used to control continuously the governance results.

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“…The SLA for cloud computing is so critical as it represent a contract between cloud clients and the cloud service provider. The basic aims of SLAs is to provide an obvious definition of the formal agreements about service terms like performance, availability and cost [6].…”

Section: Sla For Cloud Job Allocationmentioning

confidence: 99%

SLA Violation Detection Mechanism for Cloud Computing

Musa¹,

Yousif²,

Bashi³

2016

IJCA

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Cloud computing is a general term for anything that involves delivering hosted services over the Internet. It is a construct that allows you to access applications that actually reside at a location other than your computer or other Internet-connected Device. Service Level Agreement (SLA) is a document that includes a description of the service, service level parameters, guarantees, and actions for all cases agreed. The SLA is very important as a control between consumer and provider for any violation for the agreement. In several cases cloud provides violate the level agreement with clients and provide the service at a less level than what has been agreed to. To tackle this problem this paper proposed SLA -based violation detection mechanism for resource allocation for cloud computing based on the number of allocated processors. To examine the proposed mechanism we conducted a simulation experiments using CloudSim simulator. The experiment has two scenarios, the first scenario the number of resources (virtual machine) is greater than the number of resources requested by the submitted jobs (cloudlet). The second scenario shows SLA violation as the number of processors provided by the cloud providers is less than the requested number of processor by the jobs or cloudlet. Results revealed that the proposed SLA mechanism has the ability to detect the violations for the SLA agreement.

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A Survey on SLA and Performance Measurement in Cloud Computing

Cited by 15 publications

References 9 publications

Quality of service approaches in cloud computing: A systematic mapping study

Quality of service approaches in cloud computing: A systematic mapping study

Multi-dimensional Model Driven Policy Generation

SLA Violation Detection Mechanism for Cloud Computing

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