TensorFlow-Based Semantic Techniques for Multi-cloud Application Portability and Interoperability

TL;DR: A novel TensorFlow-based semantic technique is designed and implemented to significantly port the applications between high-end servers and outperforms the existing techniques.

Abstract: Cloud computing permits plentiful access to shared pools of resources that are configurable and provide higher-level services to the user, which can be easily and hastily granted with minimal management effort. With the advancements in cloud computing, many cloud service providers have 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 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, which can also improve the durability along with scalability. Therefore, in this paper, a novel TensorFlow-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.