Context-adaptive information fFlow allocation and media delivery in online social networks

IEEE Journal on Selected Topics in Signal Processing

Volumn 4, Issue 4, 2010, Pages 732-745

  Chakareski, Jacob ^a   Frossard, Pascal ^a  

^a EPFL   (Switzerland)

Author keywords

Context driven networking; flow allocation; information flow cost ratio; media delivery; online social networks; packet scheduling; peer to peer systems

Indexed keywords

COST RATIO; INFORMATION FLOWS; MEDIA DELIVERY; PACKET SCHEDULING; PEER-TO-PEER SYSTEM; SOCIAL NETWORKS;

INTELLIGENT AGENTS; LINEAR PROGRAMMING; LINEARIZATION; ONLINE SYSTEMS; OPTIMIZATION; PACKET NETWORKS; SCHEDULING; SOCIAL NETWORKING (ONLINE);

PEER TO PEER NETWORKS;

EID: 77954805400     PISSN: 19324553     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSTSP.2010.2049413     Document Type: Article

References (28)

1. "Flickr: Share Your Photos, Watch the World." [Online]. Available:http://www.flickr.com
2. "YouTube: Broadcast Yourself." [Online]. Available: http://www.youtube.com
3. "Facebook: Connect and ShareWith the People inYour Life." [Online].Available: http://www.facebook.com
4. J. A. Pouwelse, P. Garbacki, J.Wang, A. Bakker, J. Yang, A. Iosup, D.H. J. Epema, M. Reinders, M. van Steen, and H. J. Sips, "Tribler: Asocial-based peer-to-peer system," in Proc. 5th Int. Workshop Peer-to-Peer Syst., Santa Barbara, CA, Feb. 2006.
5. J. Wan, L. Lu, X. Xu, and X. Ren, "A peer-to-peer assisting schemefor live streaming services," in Advances in Grid and Pervasive Computing,ser. Lecture Notes in Computer Science. Berlin/Heidelberg,Germany: Springer-Verlag, 2008, vol.5036, ch. 34, pp. 343-351.
6. A. Fast, D. Jensen, and B. N. Levine, "Creating social networks to improvepeer-to-peer networking," in Proc. 11th Int. Conf. Knowl. Discov.in Data Mining, Chicago, IL, Aug. 2005, pp. 568-573, ACMSIGKDD.
7. W. Wang, L. Zhao, and R. Yuan, "Improving cooperation in peer-topeersystems using social networks," in Proc. 3rdWorkshop Hot Topicsin Peer-to-Peer Syst., Rhodes, Greece, Apr. 2006, pp. 50-57.
8. H. Zhao, W. Lin, and K. Liu, "Behavior modeling and forensicsfor multimedia social networks: A case study in multimedia fingerprinting,"IEEE Signal Process. Mag., vol.26, no.1, pp. 118-139, Jan.2009.
9. W. Lin, H. Zhao, and K. Liu, "Incentive cooperation strategies forpeer-to-peer live multimedia streaming social networks," IEEE Trans.Multimedia, vol.11, no.3, pp. 396-412, Apr. 2009, special issue onCommunity and Media Computing.
10. A. Bagherjeiran and R. Parekh, "Combining behavioral and socialnetwork data for online advertising," in Proc. Int. Conf. Data MiningWorkshops, Washington, D.C., USA, Dec. 2008, pp. 837-846, IEEE.
11. P. Mitra and K. Baid, "Targeted advertising for online social networks,"in Proc. Int. Conf. Netw. Digital Technol., Ostrava, The Czech Republic,Jul. 2009, pp. 366-372.
12. G. Bigwood, D. Rehunathan, M. Bateman, T. Henderson, and S.Bhatti, "Exploiting self-reported social networks for routing in ubiquitouscomputing environments," in Proc. Int. Conf.Wireless and MobileComput. Netw. Commun., Avignon, France, Oct. 2008, pp. 484-489.
13. S. Khan, Y. Peng, E. Steinbach, M. Sgroi, and W. Kellerer, "Application-driven cross layer optimization for video streaming over wirelessnetworks," IEEE Commun. Mag., vol.44, no.1, pp. 122-130, Jan.2006.
14. J.Yuan, Z. Li, W.Yu, and B. Li, "A cross-layer optimization frameworkfor multihop multicast in wireless mesh networks," IEEE J. Sel. AreasCommun., vol.24, no.11, pp. 2092-2103, Nov. 2006.
15. J. She, X. Yu, P.-H. Ho, and E.-H. Yang, "A cross-layer design frameworkfor robust iptv services over ieee 802.16 networks," IEEE J. Sel.Areas Commun., vol.27, no.2, pp. 235-245, Feb. 2009.
16. S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge,U.K.: Cambridge Univ. Press, 2004.
17. R. A. Tapia, Mathematical Optimization and Lagrange MultiplierTheory for Scientists and Engineers, ser. Course notesCAAM-460. Houston, TX: Rice Univ., 2000.
18. D. Bertsekas, Network Optimization: Continuous and DiscreteModels. Nashua, NH: Athena Scientific, May 1998.
19. L. He and J. Walrand, "Pricing and revenue sharing strategies forInternet service providers," in Proc. Conf. Comput. Commun. (INFOCOM),Miami, FL, Mar. 2005, vol.1, pp. 205-217.
20. M. Hefeeda, A. Habib, and B. Bhargava, "Cost-profit analysis of apeer-to-peer media streaming architecture," Purdue Univ., Tech. Rep.CERIAS 2002-37, Oct. 2002.
21. Pando Networks, Inc. [Online]. Available: http://www.pando.com
22. Enable ISP & P2P to Work Together. [Online]. Available:www.openp4p. net
23. H. A. David and H. N. Nagaraja, Order Statistics, 3rd ed. New York:Wiley-Interscience, Aug. 2003.
24. G. Casella and R. L. Berger, Statistical Inference, 2nd ed. North Scituate,MA: Duxbury Press, Jun. 2001.
25. J. Chakareski, J. Apostolopoulos, S. Wee, W.-T. Tan, and B. Girod,"Rate-distortion hint tracks for adaptive video streaming," IEEE Trans.Circuits Syst. Video Technol., vol.15, no.10, pp. 1257-1269, Oct. 2005,special issue on Analysis and Understanding for Video Adaptation. (Pubitemid 41640563)
26. P. A. Chou and Z. Miao, "Rate-distortion optimized streaming of packetizedmedia," IEEE Trans. Multimedia, vol.8, no.2, pp. 390-404, Apr.2006.
27. "Matlab (version 7.6)," The MathWorks, Inc. [Online]. Available:http://www.mathworks.com
28. Advanced Video Coding for Generic Audiovisual Services, Amendment3: Scalable Video Coding, ITU-T and ISO/IEC JTC 1, Draft ITU-TRec. H.264-ISO/IEC 14496-14510(AVC), Apr. 2005.