• Vijay Maheshwari

In recent years, multimedia streaming technology has matured, and as network bandwidth and processing capacity of personal handheld devices have improved, the demands for multimedia quality have risen. In order to offer high-quality service, how to split the loading of content servers to enhance streaming quality is a significant issue when delivering multimedia material to a large number of consumers. As the idea of a multimedia cloud network takes shape, the question of how to distribute resources arises. Multimedia streaming service to the media cloud network's nodes This paper discusses it. This research develops an H.264/SVC streaming service for the media cloud computing center, using the most appropriate video. Based on H.264/SVC characteristics (temporal) for client-side quality network bandwidth and scalability (scalability, spatial scalability, and quality scalability). Furthermore, the load balancing and communication methods must be considered. Client-side bandwidth and processing power are debated amongst nodes, with the best node chosen by the evaluating node, for selecting the optimal video streaming route that is utilized to offer quality.a streaming multimedia service According to the findings of the experiments, The bandwidth forecast error rate for typical multimedia network streaming services may be kept at about 6%, while the utilization rate can be kept at around 80%.The multimedia cloud computing center's numerous nodes are kept in Throughout the execution of a multi-streaming service, a balanced state

Adaptive multimedia streaming, H.264/SVC, Cloud computing center.

"H.264/SVC Streaming in an Adaptive Multimedia Cloud Computing Center", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.171-176, August-2018, Available :http://www.jetir.org/papers/JETIRFF06030.pdf

"H.264/SVC Streaming in an Adaptive Multimedia Cloud Computing Center", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp171-176, August-2018, Available at : http://www.jetir.org/papers/JETIRFF06030.pdf