• Prof Santhosh. S
• Prof Kidiyappa Maddennavar
• Prof Harish Naik

Cloud storage allows direct access to centralized repositories of configurable information and provides the consumer with more sophisticated functionality that can be delivered with limited processing effort quickly and rapidly. Most cloud service companies have begun to utilize centralized high-end infrastructure to deliver services to their customers through developments in cloud computing. Nonetheless, it has been noticed that code portability is a crucial problem when creating an effective cloud environment. For minimizing manufacturer lock-in, portability is typically provided. However, it is very feasible to switch from one particular system to another for less job, in combination with boxing firms that can both boost longevity as well as interoperability. This paper is therefore planned and applied to port implementations around high-end servers considerably via a novel semantically technique focused on Tensor-Flow. Extensive studies were performed to determine the efficacy of the procedure proposed. Extensive tests demonstrate that the system introduced beats the current technologies.

Cloud computation, Semantics, Multiple cloud, Tensor-Flow, Applications transportability, Vendors, locking in.

"Tensor–Flow Semantic Techniques for Cloud Applications", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.91-96, January-2019, Available :http://www.jetir.org/papers/JETIREU06018.pdf

"Tensor–Flow Semantic Techniques for Cloud Applications", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp91-96, January-2019, Available at : http://www.jetir.org/papers/JETIREU06018.pdf