IJSRST184879 | Received : 25 May 2018| Accepted : 05 June 2018 | May-June-2018 [ 4 (8) : 344-351] © 2018 IJSRST | Volume 4 | Issue 8 | Print ISSN: 2395-6011 | Online ISSN: 2395-602X Themed Section: Science and Technology 344 An Improved Multilevel resource handling strategy for Cloud based Video Streaming Jayashree M. M. 1 , P.Damodharan 2 1 PG Student, Computer Science and Engineering, Akshaya College of Engineering and Technology, Coimbatore, Tamil Nadu, India 2 Associate Professor, Computer Science and Engineering, Akshaya College of Engineering and Technology, Coimbatore, Tamil Nadu, India 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. Keywords : Cryptography, ECC, Graphics processing, QoS, RSA, Streaming, Streaming Cloud. I. INTRODUCTION Cloud Computing refers to both the hardware and systems software in the datacenters that provide those services and the applications delivered as services over the Internet. The services are referred to as Software as a Service (SaaS), so we use that term. The datacenter hardware and software are what we will call a Cloud. In cloud computing, cloud service providers offer an abstraction of infinite storage space for clients to host data. Today’s cloud service providers offer both massively parallel computing resources and highly available storage at relatively low costs. As cloud computing becomes extensive, an increasing amount of data is being stored in the cloud and shared by users with specified privileges, which defines the access rights of the stored data. In a cloud computing environment many entities are involved. The entities that we are concerned about is the cloud provider and the cloud consumer. The entity which owns and manages the resources is the