Cloud resource reduction evaluation by video caching and streaming in LAN environment

Presumably Internet happens to be the first choice for on-demand entertainment, and HD-video contributes to major share of Internet bandwidth consumed. Adding to this there is considerable number of audience who intend to watch particular content more than once. Given the best effort delivery mechanism of Internet along with clogged data centers, there is a huge load on cloud in terms of data bandwidth, throughput and power consumption. This paper evaluates Internet traffic reduction and network infrastructure power reduction gains of proposed video caching and streaming mechanism in LAN environment.

[1]  Daniel C. Kilper,et al.  In-network caching effect on optimal energy consumption in content-centric networking , 2012, 2012 IEEE International Conference on Communications (ICC).

[2]  Radu Sion,et al.  To cloud or not to cloud?: musings on costs and viability , 2011, SOCC '11.

[3]  B. Dhoedt,et al.  Worldwide energy needs for ICT: The rise of power-aware networking , 2008, 2008 2nd International Symposium on Advanced Networks and Telecommunication Systems.

[4]  Keith W. Ross,et al.  A Measurement Study of a Large-Scale P2P IPTV System , 2007, IEEE Transactions on Multimedia.

[5]  Didier Colle,et al.  Power consumption in telecommunication networks: overview and reduction strategies , 2011, IEEE Communications Magazine.

[6]  K. R. Venugopal,et al.  Efficient video transfer using LAN caching assisted by cloud computing , 2015, TENCON 2015 - 2015 IEEE Region 10 Conference.

[7]  Hossam S. Hassanein,et al.  On Network Utilization of Peer-to-Peer Video Live Streaming on the Internet , 2011, 2011 IEEE International Conference on Communications (ICC).

[8]  Yu Gu,et al.  Watch global, cache local: YouTube network traffic at a campus network: measurements and implications , 2008, Electronic Imaging.

[9]  I. E. Allen,et al.  Changing Course: Ten Years of Tracking Online Education in the United States. , 2013 .

[10]  T. H. Szymanski,et al.  Demonstration of an ultra-low latency energy efficient internet for cloud computing , 2014, 2014 IEEE 11th Consumer Communications and Networking Conference (CCNC).

[11]  Simone Basso,et al.  Strengthening measurements from the edges: application-level packet loss rate estimation , 2013, CCRV.

[12]  Nick McKeown,et al.  OpenFlow: enabling innovation in campus networks , 2008, CCRV.

[13]  Franco Davoli,et al.  Energy Efficiency in the Future Internet: A Survey of Existing Approaches and Trends in Energy-Aware Fixed Network Infrastructures , 2011, IEEE Communications Surveys & Tutorials.

[14]  Bernd Girod,et al.  Peer-to-Peer Video Streaming , 2007 .

[15]  Janise McNair,et al.  An Iterative Approach to Minimize access Delay and Jitter for Streaming Media over Internet , 2015 .

[16]  Docebo.  eLEARNING MARKET Trends & Forecast 2014-2016 Report, A report by Docebo, March 2014 , 2015 .

[17]  Bernd Girod,et al.  Video Streaming over a Peer-to-Peer Network , 2007 .