IOT-StatisticDB: A general statistical database cluster mechanism for big data analysis in the internet of things

Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013

Volumn , Issue , 2013, Pages 535-543

  Ding, Zhiming ^a   Gao, Xu ^a   Xu, Jiajie ^a   Wu, Hong ^a  

^a INSTITUTE OF SOFTWARE   (China)

Author keywords

Big data; Internet of things; Sensor sampling data; Spatial temporal data; Statistical database

Indexed keywords

BIG DATUM; INTERNET OF THINGS (IOT); SAMPLING DATA; SPATIAL-TEMPORAL DATA; STATISTICAL DATABASE;

INTERNET; SAMPLING; SENSORS; STATISTICS;

METADATA;

EID: 84893496945     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GreenCom-iThings-CPSCom.2013.104     Document Type: Conference Paper

References (16)

1. Wang D, "Clustering Mesh-like Wireless Sensor Networks with an Energy-efficient Scheme," International Journal of Sensor Networks, vol. 7 No. 4, 2010, pp. 199-206.
2. Chen H, Mineno H, Mizuno T, "A Meta-data-based Data Aggregation Scheme in Clustering Wireless Sensor Networks". Proc. of Intl. Conf. on Mobile Data Management (MDM'06), IEEE press, May 2006, pp. 154-161.
3. Liu C, Wu K, Pei J, "A Dynamic Clustering and Scheduling Approach to Energy Saving in Data Collection from Wireless Sensor Networks", Proc. of IEEE Conf. on Sensor, Mesh and Ad Hoc Communications and Networks (SECON'05), IEEE press, Sep. 2005, pp. 374-385.
4. Zhang Y, Wang H, Tian L, "Energy and Data Aware Clustering for Data Aggregation in Wireless Sensor Networks", Proc. of IEEE 4th Intl. Conf. on Mobile Ad hoc and Sensor Systems (MASS'07), IEEE Press, Oct. 2007, pp. 1-6.
5. Ordonez C, "Statistical Model Computation with UDFs", IEEE Transactions on Knowledge and Data Engneering (TKDE), vol. 22, Dec. 2010, pp. 1752-1765.
6. Ester M, Kriegel H P, Sander J, Xu X, "A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise", Proc. of Intl. Conf. on Knowledge Discovery and Data Mining (KDD'96), Aug. 1996, pp:226-231
7. Ankerst M, Breunig M, Kriegel H P, Sander J, "Optics: Ordering Points to Identify the Clustering Structure", Proc. of ACM Intl. Conf. on Management of Data (SIGMOD'99), Jun. 1999, pp. 49-60.
8. Yang Y, Wu L, Guo J, Liu S, "Research on Distributed Hilbert R Tree Spatial Index Based on Birch Clustering", Proc. of Intl. Conf. on Geoinformatics (Geoinformatics'12), IEEE Press, Jun. 2012, pp. 1-5.
9. Chitta R, Jin R, Havens T, Jain A, "Approximate Kernel k-Means: Solution to Large Scale Kernel Clustering", Proc. of ACM Intl. Conf. on Knowledge Discovery and Data Mining (SIGKDD'11), Aug. 2011.
10. Zhang Z, Yang Y, Tung A, Papadias D, "Continuous k-Means Monitoring over Moving Objects". IEEE Transactions on Knowledge and Data Engineering (TKDE), vol 20, May 2008, pp. 1205-1216.
11. Feng X, Kumar A, Recht B, Ré C, "Towards a Unified Architecture for in-RDBMS Analytics" Proc. of ACM Intl. Conf. on Management of Data (SIGMOD'12), May, 2012, pp. 325-336.
12. Hellerstein J, Ré C, Schoppmann F, Wang D, Fratkin E, Gorajek A, et al. "The MADlib Analytics Library or MAD skills, the SQL", Journal Proceedings of the Very Large Data Base Endowment, vol. 5, issue 12, 2012, pp. 1700-1711.
13. Jampani R, Xu F, Wu M, Perez L, Jermaine C, Haas P, "The Monte Carlo Database System: Stochastic Analysis Close to the Data", ACM Transactions on Database Systems (TODS), vol 36, Aug. 2011, pp. 18:1-18:41.
14. Xiong Z, Luo W, Chen L, Ni L. "Data Vitalization: A New Paradigm for Large-Scale Dataset Analysis". Proc. of IEEE 16th Intl. Conf. on Parallel and Distributed Systems (ICPADS'10), Shanghai, China. Dec. 2010.
15. Güting R.H, Almeida V, Ding Z, "Modeling and Querying Moving Objects in Networks". VLDB Journal. vol 15, issue 2, 2006, pp165-190.
16. Ding Z, Huang G, "Real-Time Traffic Flow Statistical Analysis Based on Network-Constrained Moving Object Trajectories", proc. of 20th Intl. Conf. on Database and Expert Systems Applications (DEXA'09), Linz, Austria, August, 2009.