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Platform as a service model has certain obstacles, including data lock-in. It is expensive and time-consuming to move data to the alternative providers. This paper presents data storage options in platform as a service offers and identifies the most common data portability problems between various commercial providers of platform as a service. There are differences among their storage models, data types, remote APIs for data manipulation and query languages. Representing data models of platform as a service and data mappings by means of ontology can provide a common layer to achieve data portability among different cloud providers.

eISSN:
1338-0532
ISSN:
1336-1589
Language:
English
Publication timeframe:
2 times per year
Journal Subjects:
Engineering, Introductions and Overviews, other