A Novel Framework for Video Delivery to Handheld Devices using Cloud Environment
G. Rajasekaran1, M. Lakshmanan2, Venkata Naga Rani Bandaru3
1G. Rajasekaran, Department of Computer Science and Engineering, Easwari Engineering College, Chennai (Tamil Nadu) India.
2M. Lakshmanan, Department of Computer Science and Engineering, Easwari Engineering College, Chennai (Tamil Nadu) India.
3Mrs. Venkata Naga Rani Bandaru, Department of Computer Science and Engineering, Easwari Engineering College, Chennai (Tamil Nadu) India.
Manuscript received on November 22, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 2611-2617 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B4042129219/2019©BEIESP | DOI: 10.35940/ijeat.B4042.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Handheld devices are responsible for most of the internet traffic nowadays. Video streaming services plays a vital role in internet traffic because of its increasing size and high definition. Even though the mobile devices are capable to store and process huge data, the limitations of resources (Power, Memory, Processing, etc.), are creating bottleneck during video delivery process. Mobile devices are heterogeneous in nature in terms of service provider, geo location, hardware and software configuration and many other aspects. It is very difficult to provide the expected service to those devices without any compensation. To maintain the trade-off among the user expectation, device configuration and service provision a novel framework is proposed here. The framework covers various aspects of streaming services like user experience, delivery and storage of the contents, consumption of power resources, network conditions etc.,. The novel framework was tested with the cloud environment, within our parametric boundary it provide smooth streaming services to the handheld devices.
Keywords: Cloud Computing, Device Heterogeneity, Quality of Experience, Streaming Services, Subjective Analysis, User Experience, Video Transcoding.