Analysis and Design on Cloud Computing Monitoring Framework of Internet Public Opinion

Abstract:

With the development of Internent, the amount of information on the Internet is huge and updated quickly, which makes public opinion monitoring face enormous challeges in dealing with huge amounts of information and complex data. In the age of cloud computing, these data hids the huge value, which includes scienfitic computing, public information and enterprise applications field and so on. For getting some valued information from these data, we need to monitor these network opinion information. However, there are some shortages in traditional Internet opinion monitoring method, such as lack of powerful ability of data collecting and analysis ability. For solving this problem, a cloud computing framework of Internet opinion monitoring is proposed. The specific method is to make use of the mass data process ability of MapReduce to implement a new network information abtaining method.

• Periodical: Applied Mechanics and Materials (Volume 442)
• Pages: 511-514
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.442.511
• Online since: October 2013
• Authors: Guo Li, Xiao Qing Zhang*, Zhong Tang He, Tong Kai Ji
• Keywords: Cloud Computing, MapReduce, Mass Data, Public Opinion Monitoring

References

[1] Wenjiang Hao, Jie Wu. Internet public opinion supervision and relevant technical research. NetinfoSecurity, 2012(3): 1-4.

[2] Vaquero, L.M., L. Rodero-Merino, J. Caceres, et al. A break in the clouds: towards a cloud definition. SIGCOMM Computer Communication Review, 2008, 39(1): 50-55.

DOI: 10.1145/1496091.1496100

[3] Buyya, R., Y. Chee Shin, S. Venugopal. Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities. in 10th IEEE Conference on High Performance Computing & Communications. 2008: pp.5-13.

DOI: 10.1109/hpcc.2008.172

[4] http: /readwrite. com/2013/06/07/how-cloud-computing-democratizes-big-data.

[5] Jianjun Wu. Analysis and implementation of network public opinion monitoring based on cloud computing. Telecommunication Engineering, 2013, 53(4): 476-481. (In Chinese).

[6] Apache Hadoop. Hadoop.

Http: /hadoop. apache. org.

[7] Dean J, Ghemawat S. MapReduce: Simplified data processing on large clusters. Operation system design and implementation, 2004: 137-149.

[8] George L. HBase: The definition guide: O'Reilly Media, (2011).

[9] Chang, F., J. Dean, S. Ghemawat, et al., Bigtable: a distributed storage system for structured data, in Proceedings of the 7th USENIX Symposium on Operating Systems Design and Implementation. (2006).

[10] Burrows M. The Chubby Lock Service for Loosely-Coupled Distributed Systems. In Process of the 7th OSDI, (2006).

[11] Chandra T, Griesemer R and Redstone J. Paxos Made Live-An Engineering Perspective. In Process of PODC, (2007).

DOI: 10.1145/1281100.1281103

[12] Apache ZooKeeper. Http: /hadoop. apache. org/zookeeper.

[13] http: /pig. apache. org.

[14] http: /hive. apache. org.

[15] http: /sqoop. apache. org.