Advanced Media-based Smart Big Data on Intelligent Cloud Systems
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 out performs 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.
The ACO is the better load balancing algorithm compared to other algorithms. Concluding the first part of the related review, there is a study about Big Data technology. In  initially, there is an investigation of the importance of BD in modern life, and in terms of the economy, and also discussed the challenges that arise from Big Data utilization. Moreover, in  the potential of the powerful combination of BD and Computational intelligence is explored and a number of areas where novel applications in real world problems can be developed by utilizing these powerful tools and technologies is identified.
We proposed an efficient algorithm for advanced scalable Media-based Smart Big Data (3D, Ultra HD) on Intelligent Cloud Computing systems. With performance evaluations that have been made we demonstrate that the proposed encoding algorithm outperforms the traditional HEVC standard. By adopting this proposed method we assumed that it can be used and integrated into HEVC without violating the standard. Furthermore, by surveying the integration of BD, in general, in Cloud environments, we open new challenges in the field of this integration. This can be the sector of future research on the integration of those two technologies, and why not to have a huge improvement on their integration issues in order to have a better use of them.
In the last decades technologies like BD and Cloud became valuable for people that need information at any time in any place. Information such this can be a high quality video, e.g. a 3D-HEVC video format. In this paper, we study and survey the three aforementioned technologies in order to find their common features of their use and to propose an operation which would help the issue of streaming high quality video, as Big Data, through the cloud environments. Based on the fast growth of wireless communications and networking technologies,which are related increased in many of their features like the volume of their data in the structured and unstructured form. Also, as the technology of CC grows more options about its “on-demand” operation arise. Thus, in this work, we proposed an efficient algorithm for advanced scalable Media-based Smart Big Data (3D, Ultra HD) on Intelligent Cloud Computing systems. With performance evaluations that have been made we demonstrate that the proposed encoding algorithm outperforms the traditional HEVC standard. By adopting this proposed method we assumed that it can be used and integrated into HEVC without violating the standard. Furthermore, by surveying the integration of BD, in general, in Cloud environments, we open new challenges in the field of this integration. This can be the sector of future research on the integration of those two technologies, and why not to have a huge improvement on their integration issues in order to have a better use of them.
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