Three tier architecture: To select CSP through CloudServiceBroker in multicloud environment

Koneru, Anupriya; Latha, M.S.

doi:10.1109/inventive.2016.7823236

Cited by 2 publications

(3 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Reference proposed an agent to select cloud service provider based on the RFV. RFV is calculated based on two variables: (a) recommendation value of the provider and (b) number of transactions that provider has performed.…”

Section: Multicloud Provider Selection Problemmentioning

confidence: 99%

“…However, collecting the data from providers to be able to compare them and their service is a difficult task. Some of the data is available on the providers' websites and some of it is available from the research papers that conducted experiments to evaluate QoS metrics . The problem is not all the QoS data is available on providers' websites and it is not effective to rely on research papers because it focuses on limited services and limited providers.…”

Section: Multicloud Provider Selection Problemmentioning

confidence: 99%

“…Because of not all values available on single source, different sources were used; some of the parameters' ranges were collected from providers' websites like availability and price/h, some ranges were extracted from available datasets such as response time and usability, some ranges are available on websites that collect the studies that conducted experiments to calculate the metrics in the cloud service industry like reliability and usability and some ranges were extracted from research papers that discussed the mechanism to calculate a value of a specific parameter such RFV that discussed in Reference …”

Section: Experiments and Performance Analysismentioning

confidence: 99%

See 2 more Smart Citations

A multicriteria optimization model for cloud service provider selection in multicloud environments

Mohamed

Abdelsalam

2020

Softw Pract Exp

View full text Add to dashboard Cite

Multicloud computing is a strategy that helps customers to reduce reliance on any single cloud provider (known as the vendor lock-in problem). The value of such strategy increases with proper selection of qualified service providers. In this paper, a constrained multicriteria multicloud provider selection mathematical model is proposed. Three metaheuristics algorithms (simulated annealing[SA], genetic algorithm [GA], and particle swarm optimization algorithm [PSO]) were implemented to solve the model, and their performance was studied and compared using a hypothetical case study. For the sake of comparison, Taguchi's robust design method was used to select the algorithms' parameters values, an initial feasible solution was generated using analytic hierarchy process (AHP)-as the most used method to solve the cloud provider selection problem in the literature, all three algorithms used that solution and, in order to avoid AHP limitations, another initial solution was generated randomly and used by the three algorithm in a second set of performance experiments. Results showed that SA, GA, PSO improved the AHP solution by 53.75%, 60.41%, and 60.02%, respectively, SA and PSO are robust because of reaching the same best solution in spite of the initial solution. K E Y W O R D Scloud service provider, genetic algorithm, multicloud, particle swarm optimization, simulated annealing, Taguchi method 1 Softw: Pract Exper. 2020;50:925-947.wileyonlinelibrary.com/journal/spe

show abstract

Section: Multicloud Provider Selection Problemmentioning

confidence: 99%

Section: Multicloud Provider Selection Problemmentioning

confidence: 99%

Section: Experiments and Performance Analysismentioning

confidence: 99%

See 1 more Smart Citation