CEP-Based Massive Data Processing Approach for RFID Data

Chang Hong Liu; Run Yang Zhong; Yi Er Yan; Xiao Hu

doi:10.4028/www.scientific.net/AMR.317-319.350

Paper Titles

Preparation and Application of Iron-Loaded Activated Carbon for Catalytic Oxidation of Phenol Wastewater
p.329

Investigate on Micro-EDM in Air (Dry MEDM) by External Blowing Mode Based on RC Pulse Generator
p.334

The Effect of Plasma Power on the Properties of Amorphous Silicon-Germanium Thin Films
p.341

Analysis on Sliding State of Ball in Rotated Dual-Plates Lapping Mode
p.345

CEP-Based Massive Data Processing Approach for RFID Data
p.350

Simulation of Hybrid Excited Doubly Salient Motor Driven Control System
p.354

Continuous Casting Process Parameters on Central Defect of SWRH82B Billet
p.361

Intelligent Analogy on Wireless Communication Link Performance of Industry Wireless Sensor Networks
p.366

Effects of Tool Rake Angle on the Curved Radius during Planing-Forming Process of Fine Heat Sink
p.370

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 317-319CEP-Based Massive Data Processing Approach for...

CEP-Based Massive Data Processing Approach for RFID Data

Abstract:

Complex Event Processing (CEP) is proposed in this paper to tackle the changeability, tense correlation, and association in massive data process. This paper takes RFID (Radio Frequency Identification) data for example to illustrate how CEP works on dealing with massive data processing. First, semantic expressions are introduced as the reason of modeling for CEP. Then, model solution based on semantic expressions is proposed. Finally, this methodology achieves good results in processing massive RFID data in terms of speed, efficiency and veracity. The experiment results demonstrate that it is better in getting rid of complexity data after comparing with traditional data management based on database with massive data.

You might also be interested in these eBooks

Equipment Manufacturing Technology and Automation

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 317-319)

Pages:

350-353

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.317-319.350

Citation:

Cite this paper

Online since:

August 2011

Authors:

Chang Hong Liu, Run Yang Zhong, Yi Er Yan, Xiao Hu

Keywords:

CEP, Massive Data, Radio Frequency Identification (RFID), Semantic

Export:

RIS, BibTeX

Price:

Permissions:

Request Permissions

References

[1] Finkenzeller, K. and D. Müller, RFID Handbook: Fundamentals and Applications in Contactless Smart Cards, Radio Frequency Identification and Near-Field Communication2010: Wiley.

DOI: 10.1002/9780470665121

Google Scholar

[2] Want, R., An introduction to RFID technology. Pervasive Computing, IEEE, 2006. 5(1): pp.25-33.

Google Scholar

[3] Zang, C. and Y. Fan, Complex event processing in enterprise information systems based on RFID. Enterprise Information Systems, 2007. 1(1): pp.3-23.

DOI: 10.1080/17517570601092127

Google Scholar

[4] Wang, F., et al., Bridging physical and virtual worlds: complex event processing for RFID data streams. Advances in Database Technology-EDBT 2006, 2006: pp.588-607.

DOI: 10.1007/11687238_36

Google Scholar

[5] Wang, F., S. Liu, and P. Liu, Complex RFID event processing. The VLDB Journal, 2009. 18(4): pp.913-931.

DOI: 10.1007/s00778-009-0139-0

Google Scholar

[6] Chaiken, R., et al., Scope: easy and efficient parallel processing of massive data sets. Proceedings of the VLDB Endowment, 2008. 1(2): pp.1265-1276.

DOI: 10.14778/1454159.1454166

Google Scholar

[7] Vitter, J.S., External memory algorithms and data structures: Dealing with massive data. ACM Computing surveys (CsUR), 2001. 33(2): pp.209-271.

DOI: 10.1145/384192.384193

Google Scholar