Towards SDN-Enabled Big Data Platform for Social TV Analytics
The TV experience is being transformed with online social networks. TV audiences are sharing their opinions (i.e., social response) about video programs on OSNs (e.g., Twitter and Sina Weibo), thus providing a great opportunity for mining these data for stakeholders in TV value chains. This new para...
Saved in:
Main Authors: | , , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2015
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/80956 http://hdl.handle.net/10220/38974 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-80956 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-809562020-05-28T07:41:33Z Towards SDN-Enabled Big Data Platform for Social TV Analytics Hu, Han Wen, Yonggang Gao, Yue Chua, Tat-Seng Li, Xuelong School of Computer Engineering Big Data SDN Hadoop Social TV Analytics The TV experience is being transformed with online social networks. TV audiences are sharing their opinions (i.e., social response) about video programs on OSNs (e.g., Twitter and Sina Weibo), thus providing a great opportunity for mining these data for stakeholders in TV value chains. This new paradigm is touted as social TV analytics, integrating the emerging big data research into TV. In this article, we envision and develop a unified big data platform for social TV analytics, extracting valuable insights from TV social response in a real-time manner. Such a platform presents tremendous challenges in networking architecture for our big data platform. We propose to build a cloud-centric platform with SDN support, providing on-demand virtual machines and reconfigurable networks. The architecture of our system consists of three key components, including a robust data crawler system, an SDN-enabled big data processing system, and a social media analytics system. The data crawler system adopts a distributed architecture to circumvent the access constraints of OSNs to crawl sufficient data about each TV program of interest; the SDN-enabled big data processing system integrates SDN and Hadoop, and exploits the SDN benefit to transfer intermediate data between different processing units to accelerate the data processing rate; and the social media analytics system extracts the public perception and knowledge related to TV programs based on microblog data. We have built a proof-of-concept demo over a private cloud at Nanyang Technological University. Feature verification and performance comparisons demonstrate the feasibility and effectiveness of the system. Accepted version 2015-12-07T04:36:27Z 2019-12-06T14:18:15Z 2015-12-07T04:36:27Z 2019-12-06T14:18:15Z 2015 Journal Article Hu, H., Wen, Y., Gao, Y., Chua, T.-S., & Li, X. (2015). Toward an SDN-enabled big data platform for social TV analytics. IEEE Network, 29(5), 43-49. 0890-8044 https://hdl.handle.net/10356/80956 http://hdl.handle.net/10220/38974 10.1109/MNET.2015.7293304 en IEEE Network © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/MNET.2015.7293304]. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
country |
Singapore |
collection |
DR-NTU |
language |
English |
topic |
Big Data SDN Hadoop Social TV Analytics |
spellingShingle |
Big Data SDN Hadoop Social TV Analytics Hu, Han Wen, Yonggang Gao, Yue Chua, Tat-Seng Li, Xuelong Towards SDN-Enabled Big Data Platform for Social TV Analytics |
description |
The TV experience is being transformed with online social networks. TV audiences are sharing their opinions (i.e., social response) about video programs on OSNs (e.g., Twitter and Sina Weibo), thus providing a great opportunity for mining these data for stakeholders in TV value chains. This new paradigm is touted as social TV analytics, integrating the emerging big data research into TV. In this article, we envision and develop a unified big data platform for social TV analytics, extracting valuable insights from TV social response in a real-time manner. Such a platform presents tremendous challenges in networking architecture for our big data platform. We propose to build a cloud-centric platform with SDN support, providing on-demand virtual machines and reconfigurable networks. The architecture of our system consists of three key components, including a robust data crawler system, an SDN-enabled big data processing system, and a social media analytics system. The data crawler system adopts a distributed architecture to circumvent the access constraints of OSNs to crawl sufficient data about each TV program of interest; the SDN-enabled big data processing system integrates SDN and Hadoop, and exploits the SDN benefit to transfer intermediate data between different processing units to accelerate the data processing rate; and the social media analytics system extracts the public perception and knowledge related to TV programs based on microblog data. We have built a proof-of-concept demo over a private cloud at Nanyang Technological University. Feature verification and performance comparisons demonstrate the feasibility and effectiveness of the system. |
author2 |
School of Computer Engineering |
author_facet |
School of Computer Engineering Hu, Han Wen, Yonggang Gao, Yue Chua, Tat-Seng Li, Xuelong |
format |
Article |
author |
Hu, Han Wen, Yonggang Gao, Yue Chua, Tat-Seng Li, Xuelong |
author_sort |
Hu, Han |
title |
Towards SDN-Enabled Big Data Platform for Social TV Analytics |
title_short |
Towards SDN-Enabled Big Data Platform for Social TV Analytics |
title_full |
Towards SDN-Enabled Big Data Platform for Social TV Analytics |
title_fullStr |
Towards SDN-Enabled Big Data Platform for Social TV Analytics |
title_full_unstemmed |
Towards SDN-Enabled Big Data Platform for Social TV Analytics |
title_sort |
towards sdn-enabled big data platform for social tv analytics |
publishDate |
2015 |
url |
https://hdl.handle.net/10356/80956 http://hdl.handle.net/10220/38974 |
_version_ |
1681058180936761344 |