An Improved Multilevel resource handling strategy for Cloud based Video Streaming

Authors

  • Jayashree M. M.  PG Student, Computer Science and Engineering, Akshaya College of Engineering and Technology, Coimbatore, Tamil Nadu, India
  • P.Damodharan  Associate Professor, Computer Science and Engineering, Akshaya College of Engineering and Technology, Coimbatore, Tamil Nadu, India

Keywords:

Cryptography, ECC, Graphics processing, QoS, RSA, Streaming, Streaming Cloud

Abstract

Video data transmission and video streaming allows people to access the stored video media using the network anywhere in the world. An adaptive scheme is applied to perform the resource allocation in terms of bandwidth and video memory in cloud-based video streaming. Advances and commoditization of media generation devices enable capturing and sharing of any special event by multiple attendees. Video streaming is multimedia that is constantly received by and presented to an end-user while being delivered by a video service provider or sender. With the rapid development of cloud technology, many services have been transferred from local computers to the cloud-based platform, which decreases the amount of computation done on the former. Graphics processing, apart from providing user interfaces featuring diversified special effects, is also significant in terms of application programs and play interactions. The proposed model combines a QoS aware resource allocation strategy for mobile 3D graphics rendering, which is a hybrid rendering technology combining the client-side graphics processing capabilities with the graphics processing units on the cloud-based platform. The proposed system is called Graphics Adaptive Resource Allocation Strategy (GARAS), and it delivers multiple views of an event to viewers at the best possible video representation based on each viewer’s available bandwidth GARAS is a complex system having many research challenges. The objective of the study is to maximize the overall viewer satisfaction by allocating available resources to transcode views in an optimal set of representations, subject to computational and bandwidth constraints.

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International Journal of Scientific Research in Science and Technology

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Published

2018-06-30

Issue

Volume 4, Issue 8, May-June-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Jayashree M. M., P.Damodharan, " An Improved Multilevel resource handling strategy for Cloud based Video Streaming, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 8, pp.344-351, May-June-2018.