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Quality-of-Service Data Warehouse for the selection of cloud services : a recent trend

Karawash Ahmad, Mcheick Hamid et Dbouk Mohamed. (2014). Quality-of-Service Data Warehouse for the selection of cloud services : a recent trend. Dans Mahmood Zaigham (dir.), Cloud computing : challenges, limitations and R&D solutions. (p. 257-276). Cham, Suisse : Springer.

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Cloud Computing presents an efficient, on-demand and scalable way to integrate computational resources. However, existing Cloud paradigm is increasingly transforming the information technology landscape, and organizations and businesses are exhibiting strong interest in software-as-a-service (SaaS) delivery model. This enables application service providers to lease data centre capabilities for deploying applications depending on quality of service (QoS) requirements. However, it still remains a challenging task to provide QoS assured services to serve customers with best quality, while also guaranteeing the maximization of the business objectives to service provider and infrastructure provider within certain constraints. To address these issues, this chapter proposes building a data warehouse of QoS to achieve better service matching and enhance dynamic service composition. The proposed QoS data warehouse (QoSDW) model supports the following: ensures a deep analysis of the service’s interior structure and properties through online database analysis; facilitates reasoning about complex service weakness points; supports visual representation of analysis results; and introduces a new QoS factor for study.

Type de document:Chapitre de livre
Lieu de publication:Cham, Suisse
Sujets:Sciences naturelles et génie > Sciences mathématiques > Informatique
Département, module, service et unité de recherche:Départements et modules > Département d'informatique et de mathématique
Éditeurs:Zaigham, Mahmood
Mots-clés:cloud service, Data Warehouse, QoS, Quality of Service, analysis, composition, service selection
Déposé le:30 nov. 2016 01:05
Dernière modification:02 mars 2018 02:26
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