Overview of Time Series Storage and Processing in a Cloud Environment

CloudCom 2012 - Proceedings: 2012 4th IEEE International Conference on Cloud Computing Technology and Science

Volumn , Issue , 2012, Pages 625-628

  Wlodarczyk, Tomasz Wiktor ^a  

^a UNIVERSITY OF STAVANGER   (Norway)

Author keywords

cloud computing; Hadoop; Historian; time series

Indexed keywords

ADVANCED ANALYSIS; CLOUD ENVIRONMENTS; HADOOP; HISTORIAN; IT SUPPORTS; STORAGE INFRASTRUCTURE;

CLOUD COMPUTING;

TIME SERIES;

EID: 84874256193     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CloudCom.2012.6427510     Document Type: Conference Paper

References (16)

1. A. Rabkin and R. Katz, "Chukwa: a system for reliable large-scale log collection," Proceedings of the 24th international conference on Large installation system administration, Berkeley, CA, USA: USENIX Association, 2010, pp. 1-15.
2. "Welcome to Apache Hadoop!" Available: http://hadoop.apache. org/.
3. J. Dean and S. Ghemawat, "MapReduce: simplified data processing on large clusters," Communications of the ACM, vol. 51, Jan. 2008, pp. 107-113.
4. A. Fras and T. Dang, "Improving industrial application's performances with an Historian," 2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04, 2004, pp. 718-721 Vol. 2.
5. D.C. Barr, "The use of a data historian to extend plant life," , International Conference on Life Management of Power Plants, 1994, 1994, pp. 35-39.
6. J. Ledlie, C. Ng, and D.A. Holland, "Provenance-Aware Sensor Data Storage," Proceedings of the 21st International Conference on Data Engineering Workshops, Washington, DC, USA: IEEE Computer Society, 2005, p. 1189-.
7. D. Ganesan, D. Estrin, and J. Heidemann, "Dimensions: why do we need a new data handling architecture for sensor networks?," SIGCOMM Comput. Commun. Rev., vol. 33, Jan. 2003, pp. 143-148.
8. B. Jia, T.W. Wlodarczyk, and C. Rong, "Performance Considerations of Data Acquisition in Hadoop System," 2010 IEEE Second International Conference on Cloud Computing Technology and Science, Indianapolis, IN, USA: 2010, pp. 545-549.
9. "Time Series Data Storage in MongoDB" Available: http://www.slideshare.net/sky-jackson/time-series-data-storage-inmongodb.
10. "Basic Time Series with Cassandra RubyScale" Available: http://rubyscale.com/blog/2011/03/06/basic-time-series-withcassandra/.
11. B. Yu, A. Cuzzocrea, D. Jeong, and S. Maydebura, "On Managing Very Large Sensor-Network Data Using Bigtable," Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012), Washington, DC, USA: IEEE Computer Society, 2012, pp. 918-922.
12. W.Y. Ku, "The Cloud-Based Sensor Data Warehouse," International Symposium on Grids and Clouds and the Open Grid Forum, 2011, p. 75.
13. J. Lin, E. Keogh, S. Lonardi, and B. Chiu, "A symbolic representation of time series, with implications for streaming algorithms," Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery, New York, NY, USA: ACM, 2003, pp. 2-11.
14. "Thomas Dudziak's Blog" Available: http://tomdzk.wordpress.com/ .
15. H. Matsuura, M. Ganse, and T. Suzumura, "A Highly Efficient Consolidated Platform for Stream Computing and Hadoop," Parallel and Distributed Processing Symposium Workshops PhD Forum (IPDPSW), 2012 IEEE 26th International, 2012, pp. 2026-2034.
16. R.D.C. Team, R: A Language and Environment for Statistical Computing, Vienna, Austria: 2012.