Tensorflow Based Semantic Techniques For Multi-Cloud Applications Portability

Cloud computing permits plentiful access to shared pools of resources which are configurable and provide higher-level services to the user that can be easily and hastily granted with minimal management effort. With the advancements in cloud computing, many cloud service provides has started using the distributed high end servers to provide services to its users. However, while designing an efficient cloud environment it has been found that the application portability is a key issue. Portability is usually offered as being needed mainly to be able to mitigate supplier lock-in. Nevertheless, shifting from a single method to an alternative for a minimum of work, seeing that is quite possible together with box companies, can also improve durability along with scalability. Therefore, in this paper, a novel tensor flow based semantic technique is designed and implemented to significantly port the applications between high end servers. Extensive experiments have been carried out to evaluate the effectiveness of the proposed technique. Extensive experiments reveal that the proposed technique outperforms the existing techniques.