%0 Journal Article %1 Krishnarao_2015 %A Hedau, Miss. Payal Krishnarao %A Chaudhari, Prof. Manoj S. %D 2015 %I Auricle Technologies, Pvt., Ltd. %J International Journal on Recent and Innovation Trends in Computing and Communication %K (SVC ) Adaptive Cloud Efficient Mobile Scalable Traffic coding computing demand networks sharing streaming video %N 1 %P 18--21 %R 10.17762/ijritcc2321-8169.150105 %T Review on AMES-Cloud Using Preservation, Fetching and Decisive Video Streaming Over Cloud Computing %U http://dx.doi.org/10.17762/ijritcc2321-8169.150105 %V 3 %X The video traffic demands are increasing over a mobile network through wireless link cannot corporate with the demand of video traffics. The increasing traffic demand is accounted by video streaming and downloading. Hence, there is a gap between link capacity and traffic demands along with the time varying condition which is result in the poor quality of video streaming service over a mobile network such as sending long buffering time and intermittent disruptions due to limited bandwidth and link condition. By leveraging cloud computing technology, we propose a new mobile video streaming framework which has two main parts : Efficient social video sharing and Adaptive mobile video streaming which built a private agent which provides video streaming service for each mobile user in the network efficiently. To demonstrate its performance we implement a prototype of AMES-Cloud framework. Thus, it is crucial to improve the video quality service of streaming while using the computing resource and networking efficiently and also provides preservation over cloud computing

@article{Krishnarao_2015, abstract = {The video traffic demands are increasing over a mobile network through wireless link cannot corporate with the demand of video traffics. The increasing traffic demand is accounted by video streaming and downloading. Hence, there is a gap between link capacity and traffic demands along with the time varying condition which is result in the poor quality of video streaming service over a mobile network such as sending long buffering time and intermittent disruptions due to limited bandwidth and link condition. By leveraging cloud computing technology, we propose a new mobile video streaming framework which has two main parts : Efficient social video sharing and Adaptive mobile video streaming which built a private agent which provides video streaming service for each mobile user in the network efficiently. To demonstrate its performance we implement a prototype of AMES-Cloud framework. Thus, it is crucial to improve the video quality service of streaming while using the computing resource and networking efficiently and also provides preservation over cloud computing}, added-at = {2015-08-03T07:24:10.000+0200}, author = {Hedau, Miss. Payal Krishnarao and Chaudhari, Prof. Manoj S.}, biburl = {https://www.bibsonomy.org/bibtex/28528eb5996ce0bef34842b73256e13d6/ijritcc}, doi = {10.17762/ijritcc2321-8169.150105}, interhash = {dca7e10eba5e59e05e673c20bee13ad8}, intrahash = {8528eb5996ce0bef34842b73256e13d6}, journal = {International Journal on Recent and Innovation Trends in Computing and Communication}, keywords = {(SVC ) Adaptive Cloud Efficient Mobile Scalable Traffic coding computing demand networks sharing streaming video}, month = {january}, number = 1, pages = {18--21}, publisher = {Auricle Technologies, Pvt., Ltd.}, timestamp = {2015-08-03T07:24:10.000+0200}, title = {Review on {AMES}-Cloud Using Preservation, Fetching and Decisive Video Streaming Over Cloud Computing}, url = {http://dx.doi.org/10.17762/ijritcc2321-8169.150105}, volume = 3, year = 2015 }