Abstract

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.

Keywords

MSC

68-P20

Cite this article

@article{cai-3887,
  author  = {Darko Andročec and Neven Vrček},
  title   = {Ontology-Based Resolution of Cloud Data Lock-in Problem},
  journal = {Computing and Informatics},
  volume  = {37},
  number  = {5},
  pages   = {1231--1257},
  year    = {2018},
  issn    = {1335-9150},
  doi     = {10.4149/cai_2018_5_1231}
}
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