Abstract
Cloud computing is one of the key tools used in the analysis of big data. Cloud users have the option to work with the infrastructure (IaaS) or with the platform (PaaS).
At first glance it may seem that PaaS is an ideal tool for this task. However, a closer look at PaaS reveals that there are several problems regarding clouds.
The main problem is the static aspect of clouds. Users cannot customize the platform on their demand.
They have to change the platform or work with the existing cloud infrastructure. Therefore the concept of tailored platform is presented in this paper.
Tailored platforms are adaptable to the requirements of users. An abstract model was used for designing the tailored platforms architecture.
The platforms are deployed in the clouds environment consists of clouds provided by different providers (multicloud environment). Users also have the opportunity to optimize the application runs using multiple criteria.