An adaptive monitoring framework for ensuring accountability and quality of services in cloud computing


Mahmood Khan, Hassan and Chan, Gaik Yee and Chua, Fang Fang (2016) An adaptive monitoring framework for ensuring accountability and quality of services in cloud computing. In: 2016 International Conference on Information Networking (ICOIN). IEEE, pp. 249-253. ISBN 978-1-5090-1724-9

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Cloud computing platform has gained popularity among service providers and consumers to perform business operations due to the ease of communication and transaction convenience in terms of accessibility and availability. However, due to the vulnerability of this dynamic open environment, it is crucial to have a binding agreement between all the service parties for ensuring trust while fulfilling the expected Quality of Services (QoS). There is a need to improve on the current Service Level Agreements (SLAs) practice which does not focus on the QoS and accountability assurance. In this paper, we propose an adaptive monitoring framework to dynamically monitor QoS metrics and performance measures to verify compliances to the respective SLAs. The framework is validated with scenarios on response time and availability which shown to provide adaptive remedy action to rectify violation situation. Besides, any service party which establishes non-compliance to SLAs shall be penalized in monetary terms.

Item Type: Book Section
Uncontrolled Keywords: accountability; quality of service; service level agreement; software as a service
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 20 Nov 2017 12:57
Last Modified: 20 Nov 2017 12:58


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