Abstract
The past decade has witnessed explosive growth in wireless big data, as well as in various big data analytics technologies. The intelligence mined from these massive datasets can be utilized to optimize wireless system design. Due to the open data policy of the mainstream OSN (Online Social Network) service providers and the pervasiveness of online social services, this paper studies how social big data can be embraced in wireless communication system design. We start with our first hand experience on crawling social big data and the principal of social-aware system design. Then we present five studies on utilizing social intelligence for system optimization, including community-aware social video distribution over cloud content delivery networks, public cloud assisted mobile social video sharing, data driven bitrate adjustment and spectrum allocation for mobile social video sharing, location-aware video streaming, and social video distribution over information-centric networking.
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This work is supported by the Ministry of Education Academic Research Fund Tier 1 (No. RG 17/14), SMART Innovation Grant (No. ING148077-ICT), Cisco Systems Inc. (No. M4061334.020), BCA Green Buildings Innovation Cluster R&D Grant (No. NRF2015ENC-GBICRD001-012).
Yonggang Wen (S’99-M’08-SM’14) is an associate professor with school of computer science and engineering at Nanyang Technological University, Singapore. He received his Ph.D. degree in electrical engineering and computer science (minor in Western Literature) from Massachusetts Institute of Technology (MIT), Cambridge, USA, in 2008. Previously he was with Cisco, USA, to lead product development in content delivery network, which had a revenue impact of 3 Billion US dollars globally. Dr. Wen has published over 140 papers in top journals and prestigious conferences. His work in Multi-Screen Cloud Social TV has been featured by global media in over 1 600 news articles from over 29 countries and received ASEAN ICT Award 2013 (gold medal). His work on Cloud3DView, as the only academia entry, has won the Data Centre Dynamics Awards 2015 C APAC. He is a co-recipient of 2015 IEEE Multimedia Best Paper Award, and a co-recipient of Best Paper Awards at EAI/ICST Chinacom 2015, IEEE WCSP 2014, IEEE Globecom 2013 and IEEE EUC 2012. He serves on editorial boards for IEEE Transactions on Circuits and Systems for Video Technology, IEEE Wireless Communication Magazine, IEEE Communications Survey & Tutorials, IEEE Transactions on Multimedia, IEEE Transactions on Signal and Information Processing over Networks, IEEE Access Journal and Elsevier Ad Hoc Networks, and was elected as the chair for IEEE ComSoc Multimedia Communication Technical Committee (2014-2016). His research interests include cloud computing, green data center, big data analytics, multimedia network and mobile computing.
Han Hu [corresponding author] received the B.S. degree and Ph.D. from University of Science and Technology of China (USTC) in 2007 and 2012 respectively. He is currently a research fellow with the School of Computer Engineering at Nanyang Technological University, Singapore. His research interests include social media analysis and distribution, big data analytics, multimedia communication, and green network.
Fang Liu received her B.E. and M.E. degree from Xidian University, China, in 2008 and 2011 respectively. She received her Ph.D. degree from Nanyang Technological University, Singapore, in 2016. She is currently a research fellow with the School of Computer Engineering at Nanyang Technological University, Singapore. Her research interests include cloud computing and data analytics.
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Wen, Y., Hu, H. & Liu, F. Embracing social big data in wireless system design. J. Commun. Inf. Netw. 2, 81–96 (2017). https://doi.org/10.1007/s41650-017-0007-9
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DOI: https://doi.org/10.1007/s41650-017-0007-9