CFP last date
22 April 2024
Reseach Article

Ephemeral Analysis of Mobile Video Streaming in Cloud Environment

Published on November 2015 by Ruchita D.londhe, Swati S. Sherekar, V. M. Thakare
National Conference on Recent Trends in Mobile and Cloud Computing
Foundation of Computer Science USA
NCRMC2015 - Number 2
November 2015
Authors: Ruchita D.londhe, Swati S. Sherekar, V. M. Thakare
3055511e-f3e1-45ea-bee3-23120121bc51

Ruchita D.londhe, Swati S. Sherekar, V. M. Thakare . Ephemeral Analysis of Mobile Video Streaming in Cloud Environment. National Conference on Recent Trends in Mobile and Cloud Computing. NCRMC2015, 2 (November 2015), 31-34.

@article{
author = { Ruchita D.londhe, Swati S. Sherekar, V. M. Thakare },
title = { Ephemeral Analysis of Mobile Video Streaming in Cloud Environment },
journal = { National Conference on Recent Trends in Mobile and Cloud Computing },
issue_date = { November 2015 },
volume = { NCRMC2015 },
number = { 2 },
month = { November },
year = { 2015 },
issn = 0975-8887,
pages = { 31-34 },
numpages = 4,
url = { /proceedings/ncrmc2015/number2/23322-2921/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Trends in Mobile and Cloud Computing
%A Ruchita D.londhe
%A Swati S. Sherekar
%A V. M. Thakare
%T Ephemeral Analysis of Mobile Video Streaming in Cloud Environment
%J National Conference on Recent Trends in Mobile and Cloud Computing
%@ 0975-8887
%V NCRMC2015
%N 2
%P 31-34
%D 2015
%I International Journal of Computer Applications
Abstract

Mobile cloud computing (MCC) is emerging concept it combined two main computing techniques one is mobile computing and another is cloud computing. In smart phone it is a potential technology. Combination of mobile and cloud computing is able to overcome obstacles related to the mobile performance, environment and security and provide better quality of multimedia data in smart phone. Multimedia data bases such as text, audio, video data bases need security. Security, privacy and integrity of data are demanded in every operation performed on internet. In mobile platforms video sharing and streaming is done in successful way. The cloud computing paradigm is used for fast and intelligent processing in near-real time data transmission such as audio, video, text and games. Mobile cloud computing is bridging the widening gap between the mobile multimedia demand and the capability of various mobile devices. This paper studies a various video streaming technique and analyzes the better method for increase quality of services.

References
  1. . Atul Gonsai, Rushi Raval, "Mobile Cloud Computing: A Tool for Future", International Journal of Computer Science & Engineering Technology (IJCSET), ISSN: 2229-3347, Vol. 4 No. 07 Pg No. 1084-1094, 2013.
  2. . Yi xu and shiwen mao, "A survey of mobile cloud computing for Rich media applications", 1536-1284/13,IEEE wireless communications, 46-53, june 2013.
  3. . Wen Gao, Ling-Yu Duan, Jun Sun, "Mobile Media Communication, Processing, and Analysis: a review of recent advances", 978-1-4673-5762-3/13, IEEE 869-872, 2013.
  4. . Yao Lu, Yao Liu, Sujit Dey," Enhancing Cloud Mobile 3D Display Gaming User Experience by Asymmetric Graphics Rendering", International Conference on Computing, Networking and Communications, Multimedia Computing and Communications Symposium,978-1-4799-2358-8, IEEE, pg no. 368-374, 2014.
  5. . Min Chen, "AMVSC: A Framework of Adaptive Mobile Video Streaming in the Cloud", IEEE, 978-1-4673-0921-9,pg no 2042- 2047,2012.
  6. . Takeshi Ikenaga and Takahiro Suzuki," Smart Feature Detection Device for Cloud based Video Recognition System", IEEE 978-1-4799-2776-0,Pg no. 1-3,2014.
  7. . S. Wang, S. Dey: Aaptive, "Mobile Cloud Computing to Enable Rich Mobile Multimedia Applications" ,IEEE, pg no. 1-14,2013.
  8. . Emad Danish, Anil Fernando, Omar Abdul-Hameed, Mazin Alshamrani, and Ahmet Kondoz, "Perceptual QoE Based Resource Allocation For Mobile 3D Video Communications",978-1-4799-1291-9,IEEE International Conference on Consumer Electronics (ICCE),Pg no. 454-455,2014.
  9. . Shaoxuan Wang, Sujit Dey, San Diego, "Adaptive Mobile Cloud Computing to Enable Rich Mobile Multimedia Applications", Page 1-14, IEEE 2013.
  10. . Girish Welling And B. R. Badrinath, "An Architecture For Exporting Environment Awareness To Mobile Computing applications", IEEE Transactions On Software Engineering, VOL. 24, NO. 5, Pg 391-400, MAY 1998.
  11. . Paramvir Bahl, Richard Y. Han, "Advancing the State of Mobile Cloud Computing",2012, ACM 978-1-4503-1319-3/12/06. Pg 21-27,2012.
  12. . Dejan Kovachev, Yiwei Cao and Ralf Klamma, "Cloud Services for Improved User Experience in Sharing Mobile Videos",Advanced Community Information Systems (ACIS), 978-0-7695-4944-6, 298-303, 2012.
  13. . Chalmers And Morris Sloman Dan, "A Survey Of Quality Of Service In Mobile Computing Environments", IEEE Communication Surveys, Pg no. 2-10, 1999.
  14. . Zuqing Zhu, Suoheng Li,and Xiaoliang Chen," Design QoS-Aware Multi-Path Provisioning Strategies for Ef?cient Cloud-Assisted SVC Video Streaming to Heterogeneous Clients ",IEEE Transactions On Multimedia, 1520-9210, VOL. 15,NO. 4,Pg no. 758- 769, 2013.
  15. . Hong-Yi Chang, Ya-Yueh Shih, Yuan-Wei Lin, "Cloud: A Novel Cloud-based P2P Live Video Streaming Platform with SVC technology", NSC-IOl-2218-E-415-00l, Pg no. 64-68,2013.
  16. . Bogdan Ciubotaru, Gheorghita Ghinea, and Gabriel-Miro Muntean, "Subjective Assessment of Region of Interest-Aware Adaptive Multimedia Streaming Quality", IEEE Transactions On Broadcasting, VOL. 60, NO. 1, 0018-9316, Pg no 50-60, 2014.
  17. . Mr. Prabhu , Mr. Gautham , Mrs. Nagajothi, "Adaptive Mobile Video Streaming and Efficient Social Video Sharing in Cloud", International Journal of Computer Trends and Technology (IJCTT) volume 9 number 4, ISSN: 2231-2803, Page160-163, 2014.
  18. . Mohammad Reza Zakerinasab, Mea Wang," a Cloud-Assisted Energy-Efficient Video Streaming System for Smartphone's", 978-1-4799-0590-4/13, IEEE, 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Adaptive Video Streaming Esov H. 264 Encoder.