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Ontology-Based Resolution of Cloud Data Lock-in Problem (CROSBI ID 257097)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Andročec, Darko ; Vrček, Neven Ontology-Based Resolution of Cloud Data Lock-in Problem // Computing and informatics, 37 (2018), 5; 1231-1257. doi: 10.4149/cai 2018 5 1231

Podaci o odgovornosti

Andročec, Darko ; Vrček, Neven

engleski

Ontology-Based Resolution of Cloud Data Lock-in Problem

Cloud computing is nowadays becoming a popular paradigm for the provision of computing infrastructure that enables organizations to achieve financial savings. On the other hand, there are some known obstacles, among which vendor lock-in stands out. Furthermore, due to missing standards and heterogeneities of cloud storage systems, the migration of data to alternative cloud providers is expensive and time-consuming. We propose an approach based on Semantic Web services and AI planning to tackle cloud vendor data lock-in problem. To complete the mentioned task, data structures and data type mapping rules between different types of cloud storage systems are defined. The migration of data among different providers of platform as a service is presented in order to prove the practical applicability of the proposed approach. Additionally, this concept was also applied to software as a service model of cloud computing to perform one-shot data migration from Zoho CRM to Salesforce CRM.

Cloud data portability ; data migration ; platform as a service ; software as a service ; data type mappings ; semantic web services

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Podaci o izdanju

37 (5)

2018.

1231-1257

objavljeno

1335-9150

10.4149/cai 2018 5 1231

Povezanost rada

Informacijske i komunikacijske znanosti

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