Citation

Chan, Gaik Yee and Khan, Hassan Mahmood and Chua, Fang Fang (2018) Resource Scalability as Preventive and Remedial Measures for Cloud Service Violation. In: 2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud). IEEE, pp. 428-435. ISBN 978-1-5386-7504-5

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Abstract

Cloud-based applications are heavily consumed and resourced due to the increasing demand and needs of the service users. The issue of overly provisioning the resources results in a waste of cloud resources provided by the service facilitator and also costing more to the service user. Thus, it is very crucial to create a balance trade-off between specified Quality of Service (QoS) terms which are stated in Service Level Agreement (SLA) with scalable resource allocation. Vertical scalability is utilized for effective and improved resource usage. Our proposed approach presents scalable resource allocation using vertical scalability to ensure predefined QoS metrics such as response time and throughput is fulfilled. QoS violation is checked and detected using fuzzy if-then rules to determine the quality status. Once violation or probable violation is detected, system evaluation is performed to identify possible erroneous behavior which then leads to the execution of optimized resource allocation activities. We presented case scenarios to demonstrate the feasibility of the proposed approach through simulation.

Item Type:	Book Section
Uncontrolled Keywords:	cloud computing
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 Suzilawati Abu Samah
Date Deposited:	20 Jan 2021 07:47
Last Modified:	20 Jan 2021 07:47
URII:	http://shdl.mmu.edu.my/id/eprint/7330

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