Quality of Service (QoS): Measurements of Video Streaming
Nowadays video streaming is growing over the social clouds, where end-users always want to share High Definition (HD) videos among friends. Mostly videos were recorded via smartphones and other HD devices and short time videos have a big file size. The big file size of videos required high bandwidth to upload and download on the Internet and also required more time to load in a web page for play. So avoiding this problem social cloud compress videos during the upload for smooth play and fast loading in a web page. Compression decreases the video quality which also decreases the quality of experience of end users. In this paper we measure the QoS of different standard video file formats on social clouds; they varied from each other in resolution, audio/video bitrate, and storage size. Videos were downloaded from YouTube and converted standard video file formats which provided by developers and upload/download at social clouds. During the upload of video standard file format, original video format converted in social clouds default supported file format and also compressed according to compression technique which set by the service provider. The Result shows that Facebook compressed HD Videos more as compared to Google+ videos. However, Facebook gives a better quality of compressed videos on slow networks, which were upload in the format of MOV, FLV, WMV, AVI, WebM and converted by Facebook into MP4 format for low resolutions and MP4 (HEVC and AVC) for 1080P and 2160P high resolutions. Google+ support all file formats and did not convert file format and provide high quality video streaming for high speed networks.
Keywords: Quality of Service, Streaming, Video Quality, Video File Formats, Video Resolution.
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ABOUT THE AUTHORS
Sajida Karim
She received the B.S. and Master’s degree in Computer science and Information Technology from Shah Abdul Latif University, Khairpur, Pakistan, in 2017 respectively; From 2013-2017, she was a Lecturer in the Computer science and Information Technology Department, Shah Abdul Latif University. She is currently pursuing a Ph.D. degree with the Harbin Institute of Technology HIT, Harbin China. She published technical articles in scientific journals and conference proceedings. Her current research interests include Computer networks, Cloud Computing, multimedia QoS/QoE management, Artificial Intelligence, Deep Learning Neural Networks.
Hui He
She is Dr., associate professor, member of IEEE & IEEE Computer , China Computer Society, ACM Association. Harbin Institute of Technology School of computer science and technology. Mainly engaged in computer network, network measurement and simulation, network active defense technology, mobile network security, cloud computing, migration learning and so on. Presided over or participated in the national network information security project key projects Natural Science Foundation, 863 projects, 973 projects and other provincial ministries and commissions more than 10 items, won the national defense science and technology progress prize two, Heilongjiang province science and technology two prize 1 item. 2010 to guide students to participate in the national information security competition won the first prize 1. At home and abroad important academic journals and conferences published nearly 80 papers..
Asif Ali Laghari
He received the B.S. degree in Information from the Quaid-eAwam University of Engineering Science and Technology Nawabshah, Pakistan, in 2007 and Master degree in Information Technology from the QUEST Nawabshah Pakistan in 2014.From 2007 to 2008, he was a Lecturer in the Computer and Information Science Department, Digital Institute of Information Technology, Pakistan,. He received PhD degree from the school of the Computer Science & Technology, Harbin Institute of Technology. He has published technical articles in scientific journals and conference proceedings. His current research interests include Computer networks, cloud computing, and multimedia QoE management.
Hina Madiha
She received the B.E. degree in Computer Systems Engineering from Quaid-e-Awam University of Engineering, Science & Technology Nawabshah, Pakistan in 2016. She is currently enrolled in Master degree program in School of Computer Science Shaanxi Normal University Xi’an, China. Her research interests include cloud computing, image processing, Artificial Intelligence, and Machine learning.
Sajida Karim
She received the B.S. and Master’s degree in Computer science and Information Technology from Shah Abdul Latif University, Khairpur, Pakistan, in 2017 respectively; From 2013-2017, she was a Lecturer in the Computer science and Information Technology Department, Shah Abdul Latif University. She is currently pursuing a Ph.D. degree with the Harbin Institute of Technology HIT, Harbin China. She published technical articles in scientific journals and conference proceedings. Her current research interests include Computer networks, Cloud Computing, multimedia QoS/QoE management, Artificial Intelligence, Deep Learning Neural Networks.
Hui He
She is Dr., associate professor, member of IEEE & IEEE Computer , China Computer Society, ACM Association. Harbin Institute of Technology School of computer science and technology. Mainly engaged in computer network, network measurement and simulation, network active defense technology, mobile network security, cloud computing, migration learning and so on. Presided over or participated in the national network information security project key projects Natural Science Foundation, 863 projects, 973 projects and other provincial ministries and commissions more than 10 items, won the national defense science and technology progress prize two, Heilongjiang province science and technology two prize 1 item. 2010 to guide students to participate in the national information security competition won the first prize 1. At home and abroad important academic journals and conferences published nearly 80 papers..
Asif Ali Laghari
He received the B.S. degree in Information from the Quaid-eAwam University of Engineering Science and Technology Nawabshah, Pakistan, in 2007 and Master degree in Information Technology from the QUEST Nawabshah Pakistan in 2014.From 2007 to 2008, he was a Lecturer in the Computer and Information Science Department, Digital Institute of Information Technology, Pakistan,. He received PhD degree from the school of the Computer Science & Technology, Harbin Institute of Technology. He has published technical articles in scientific journals and conference proceedings. His current research interests include Computer networks, cloud computing, and multimedia QoE management.
Hina Madiha
She received the B.E. degree in Computer Systems Engineering from Quaid-e-Awam University of Engineering, Science & Technology Nawabshah, Pakistan in 2016. She is currently enrolled in Master degree program in School of Computer Science Shaanxi Normal University Xi’an, China. Her research interests include cloud computing, image processing, Artificial Intelligence, and Machine learning.
