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.

A Fuzzy-Based Brokering Service for Cloud Plan Selection / S. De Capitani di Vimercati, S. Foresti, G. Livraga, V. Piuri, P. Samarati. - In: IEEE SYSTEMS JOURNAL. - ISSN 1932-8184. - 13:4(2019 Dec), pp. 8638845.4101-8638845.4109.

A Fuzzy-Based Brokering Service for Cloud Plan Selection

S. De Capitani di Vimercati
Primo
;
S. Foresti
Secondo
;
G. Livraga;V. Piuri
Penultimo
;
P. Samarati
Ultimo
2019

Abstract

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.
Brokering service; cloud computing; cloud service selection; fuzzy inference; fuzzy logic; natural language
Settore INF/01 - Informatica
   Multi-Owner data Sharing for Analytics and Integration respecting Confidentiality and Owner control (MOSAICrOWN)
   MOSAICrOWN
   EUROPEAN COMMISSION
   H2020
   825333
dic-2019
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/624078
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