2015
DOI: 10.1016/j.jss.2014.10.047
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Dynamic cloud service selection using an adaptive learning mechanism in multi-cloud computing

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Cited by 65 publications
(34 citation statements)
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“…The most employed approaches include multicriteria decision analysis-based service selection [7,[12][13][14], reputation-aware service selection [15], adaptive learning mechanism-based service selection [8,16], economic theoretical model-based service selection [17,18], service level agreement-based service ranking [6], visualization framework for service selection [19], and trust evaluation middleware for cloud service selection [20]. Though these approaches can efficiently measure service quality, the implementation of some approaches is time-consuming and costly.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…The most employed approaches include multicriteria decision analysis-based service selection [7,[12][13][14], reputation-aware service selection [15], adaptive learning mechanism-based service selection [8,16], economic theoretical model-based service selection [17,18], service level agreement-based service ranking [6], visualization framework for service selection [19], and trust evaluation middleware for cloud service selection [20]. Though these approaches can efficiently measure service quality, the implementation of some approaches is time-consuming and costly.…”
Section: Related Workmentioning
confidence: 99%
“…Wang et al [16] propose a dynamic cloud service selection method by using an adaptive learning mechanism, which involves incentive, forgetting, and degenerate functions that can realize the self-adaptive regulation for optimizing next service selection according to the status of current service selection. To assist users to efficiently select their preferred cloud services, a cloud service selection model adopting the cloud service brokers is given in the paper.…”
Section: Related Workmentioning
confidence: 99%
“…The best cloud is selected based on the client's demand dynamically using adaptive learning method with the help of cloud broker [1].The SLA information is provided and binding the sweep of services used to enhance the cloud computing field with spacious cost-efficient. It contains the reward for the giant, but it does not bear extra-provisioning for needed function [2].…”
Section: Literature Survey For Mediator Based Selectionmentioning
confidence: 99%
“…This work focuses on solving distributed task problems. To help the user to select cloud, based on their favoured cost cloud selection service is performed [1][2][3][4][5][6]. Selection [7][8][9][10][11][12][13][14][15][16][17] made based on metrics like availability, throughput, scalability, fault tolerance, resilience, and elasticity.…”
Section: Introductionmentioning
confidence: 99%
“…An optimized strategy was proposed in literature [11] for load balance. In literatures [12,13], there were optimized or elastic methods that enabled the capabilities of VMs (Virtual Machines) to be scaled to encompass the dynamically changing resource demand of the aggregated virtual services.…”
Section: Introductionmentioning
confidence: 99%