Cloud-based Video-on-Demand Services for Smart TV

被引：0
|
作者：
Liu, Zhiqin [1 ]
Wang, Qingfeng [1 ]
Huang, Jun [1 ]
Wu, Yadong [1 ]
Wang, Yaobin [1 ]
Jia, Xiaolin [1 ]
Chen, Huarong [1 ]
机构：
[1] Southwest Univ Sci & Technol, Sch Comp Sci & Technol, Mianyang, Peoples R China
来源：
2017 SEVENTH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST2017) | 2017年
基金：
中国国家自然科学基金;
关键词：
cloud computing; cloud service; video-on-demand; HDFS; Smart TV;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The evolution of Video-on-Demand (VOD) technologies have revolutionized the way watching TV changed from passive reception to user-empowering. Nowadays, with the high market-penetration level of Smart TV achieved in the globe, VOD has become one of the main online applications on TV. Nevertheless, as the number of users and media files grows rapidly on demand, the load balance and storage capacity of servers become the bottlenecks, and it is necessary to rebalance the load and mass storages to improve system performances and user experiences. In this paper, with cloud computing techniques integrated, we present reliable and scalable services for VOD system, which involves content service, streaming service and cloud storage service based on Hadoop Distribute File System (HDFS). These services are evaluated by LoadRunner that is a tool of behavior predication and performance load test. Through experiment performance test in the smart TV application, the concurrency and scalability of the proposed services methods and strategies are verified and analyzed.
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页码：81 / 84
页数：4
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