This work proposes an innovative infrastructure of secure scenario which operates in a wireless-mobile 6G network for managing Big Data on Smart Buildings. Count on the rapid growth of telecommunication field new challenges arise. Furthermore, a new type of wireless network infrastructure, the sixth generation (6G), provides all the benefits of its past versions and also improves some issues which its predecessors had. In addition, relative technologies to the telecommunications filed, such as IoT, Cloud Computing and Edge Computing, can operate through a 6G wireless network. Take into account all these, we propose a scenario that try to combine the functions of the Internet of Things with Cloud Computing, Edge Computing and Big Data in order to achieve a Smart and Secure environment. The major purpose of this work is to create a novel and secure Cache Decision System in a wireless network that operates over a Smart Building, which will offer the users safer and efficient environment for browsing the internet, sharing and managing large-scale data in the fog. This CDS consisted of two types of servers, one Cloud Server and one Edge Server. In order to come up with our proposal, we study related cache scenarios systems which are listed, presented, and compared in this work.

Today's advanced media technology preaches an enthralling time that will enormously bear on daily life. Moreover the rapid raise of wireless communications and networking will ultimately bring advanced media to our lives anytime, anywhere, and on any device. According to National Institute of Standards and Technology (NIST), Cloud Computing (CC) is a scheme for enabling convenient, on-demand network access to a shared pool of configurable computing pores (for example networks, applications, storage, servers and services) which could be promptly foresighted and delivered with minimal management effort or service provider interaction. This paper proposed an efficient algorithm for advanced scalable Media-based Smart Big Data (3D, Ultra HD) on Intelligent Cloud Computing systems.The proposed encoding algorithm outperforms the conventional HEVC standard which demonstrated by the performance evaluations. In order to ratify the proposed approach in addition, a relative study has been carried out. The proposed method could be used and integrated into HEVC, as a Smart Big Data, without violating the standard.