IEEE Systems Journal · 2019 · 25 citations · 16 references
ComputingCloud ComputingInformation SystemsCloud ArchitectureCloud ComplianceCloud InfrastructureCloud Computing ManagementCloud Data ManagementCloud Resource ManagementCloud BrokerageCloud Computing SystemsCloud Resource AllocationCloud Service BrokerageCloud Service ManagementCloud Service SelectionFuzzy Inference Systems
The current cloud market features a multitude of cloud services that differ from one another in terms of functionality or of security/performance guarantees. Users wishing to use a cloud service for storing, processing, or sharing their data must be able to select the service that best matches their desiderata. In this paper, we propose a novel, user centric, brokering service for supporting users in the specification of requirements and enabling their evaluation against available cloud plans, assessing how much the different plans can satisfy the user's desiderata. Our brokering service allows users to specify their desiderata in an easy and intuitive way by using natural language expressions and high-level concepts. Fuzzy logic and fuzzy inference systems are adopted to quantitatively assess the compliance of cloud services with the users' desiderata, and hence to help users in the cloud service selection process.
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