Ontology-Based Resolution of Cloud Data Lock-in Problem

Year, pages: 2018, 1231 - 1257

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.

Andročec, D., Vrček, N. 2018. Ontology-Based Resolution of Cloud Data Lock-in Problem. In Computing and Informatics, vol. 37, no.5, pp. 1231-1257. 1335-9150. DOI: https://doi.org/10.4149/cai_2018_5_1231

Andročec, D., Vrček, N. (2018). Ontology-Based Resolution of Cloud Data Lock-in Problem. Computing and Informatics, 37(5), 1231-1257. 1335-9150. DOI: https://doi.org/10.4149/cai_2018_5_1231

Publisher: Ústav informatiky SAV