Traffic Analysis for Storage Finding in Video on Demand System

The literature survey typically predicated sharp growth for IP-based video traffic i.e., 30% or more annually. For the Internet TV in mobile networks, video traffic growth rate is expected to rise 80% or more. These high growth rates of video traffic will account for a large portion of the bandwidth. The performance of video-on-demand system during real-time data streaming greatly depends on the session oriented data-storage finding in the mass scale distributed storage architecture. At the storage end, data is broken up into manageable chunks of data packets, which could be smoothly, deliver over the Internet. The objective of this study was to present the necessity of traffic control and traffic analysis methodology in the video on demand system to minimize the hop count for finding exact media storage to retrieve video chunk data.

[1]  Scott A. Brandt,et al.  ACME: Adaptive Caching Using Multiple Experts , 2002, WDAS.

[2]  Cheng Zhan,et al.  Content Cache Placement for Scalable Video in Heterogeneous Wireless Network , 2017, IEEE Communications Letters.

[3]  Marwan Krunz,et al.  An overview of web caching replacement algorithms , 2004, IEEE Communications Surveys & Tutorials.

[4]  Soumen Kanrar,et al.  Video traffic analytics for large scale surveillance , 2017, Multimedia Tools and Applications.

[5]  Yong-Yeol Ahn,et al.  Analyzing the Video Popularity Characteristics of Large-Scale User Generated Content Systems , 2009, IEEE/ACM Transactions on Networking.

[6]  Zongpeng Li,et al.  Youtube traffic characterization: a view from the edge , 2007, IMC '07.

[7]  Peter Honeyman,et al.  Multi-level Caching in Distributed File Systems or Your cache ain't nuthin' but trash , 1992 .

[8]  Soumen Kanrar,et al.  Performance of distributed video on demand system for multirate traffic , 2011, 2011 International Conference on Recent Trends in Information Systems.

[9]  Soumen Kanrar,et al.  Efficient Traffic Control of VoD System , 2011, ArXiv.

[10]  Edwin H.-M. Sha,et al.  Optimizing Page Replacement for Multiple-Level Memory Hierarchy , 1998 .

[11]  Baegjae Sung,et al.  Improving Adaptive Replacement Cache ( ARC ) by Reuse Distance , 2011 .

[12]  Yanghee Choi,et al.  Improving TCP performance in multipath packet forwarding networks , 2002, Journal of Communications and Networks.

[13]  Soumen Kanrar Analysis and implementation of the Large Scale Video-on-Demand System , 2012, ArXiv.

[14]  Alan Jay Smith,et al.  The automatic improvement of locality in storage systems , 2005, TOCS.

[15]  Xabiel G. Pañeda,et al.  User behavior analysis of a video-on-demand service with a wide variety of subjects and lengths , 2005 .

[16]  Soumen Kanrar,et al.  Session Based Storage finding in Video on Demand System , 2015, WCI '15.

[17]  Hamid Ahmadi,et al.  Equivalent Capacity and Its Application to Bandwidth Allocation in High-Speed Networks , 1991, IEEE J. Sel. Areas Commun..

[18]  Soumen Kanrar,et al.  Dynamic Page Replacement at the Cache Memory for the Video on Demand Server , 2014 .

[19]  Yang Guo,et al.  A survey on peer-to-peer video streaming systems , 2008, Peer-to-Peer Netw. Appl..

[20]  Mubarak Shah,et al.  Automated Visual Surveillance in Realistic Scenarios , 2007, IEEE MultiMedia.

[21]  Yuanyuan Zhou,et al.  The Multi-Queue Replacement Algorithm for Second Level Buffer Caches , 2001, USENIX Annual Technical Conference, General Track.

[22]  Antti Ylä-Jääski,et al.  Efficient cache availability management in Information-Centric Networks , 2015, Comput. Networks.

[23]  Soumen Kanrar,et al.  Video Traffic Flow Analysis in Distributed System during Interactive Session , 2016, Adv. Multim..

[24]  Konstantinos Poularakis,et al.  Exploiting Caching and Multicast for 5G Wireless Networks , 2016, IEEE Transactions on Wireless Communications.

[25]  Edward A. Fox,et al.  Removal Policies in Network Caches for World-Wide Web Documents , 1996, SIGCOMM.

[26]  Alexandros G. Dimakis,et al.  Femtocaching and device-to-device collaboration: A new architecture for wireless video distribution , 2012, IEEE Communications Magazine.

[27]  Cheng Huang,et al.  Can internet video-on-demand be profitable? , 2007, SIGCOMM '07.

[28]  Virgílio A. F. Almeida,et al.  Characterizing reference locality in the WWW , 1996, Fourth International Conference on Parallel and Distributed Information Systems.

[29]  Soumen Kanrar,et al.  Efficient Video Streaming for Interactive Session , 2015, Compute '15.

[30]  Paolo Giaccone,et al.  Unravelling the Impact of Temporal and Geographical Locality in Content Caching Systems , 2015, IEEE Transactions on Multimedia.