Int J Performability Eng ›› 2018, Vol. 14 ›› Issue (2): 320-333.doi: 10.23940/ijpe.18.02.p13.320333
• Original articles • Previous Articles Next Articles
Amina Belhassena and Hongzhi Wang
Amina Belhassena and Hongzhi Wang. A Survey on Trajectory Big Data Processing [J]. Int J Performability Eng, 2018, 14(2): 320-333.
Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks
R. Agrawal and R. Srikant, “Mining Sequential Patterns,” in Proceedings of the 11th International Conference Data Engineering (ICDE), pp. 3-14, 1995. | |
E. Ahmed and M.F Mohamed, “A Demonstration of SpatialHadoop: An Efficient MapReduce Framework for Spatial Data,” in Proceedings of VLDB Endrow, pp. 1230-1233, August 2013. | |
A. Aji and F. Wang, “High Performance Spatial Query Processing for Large Scale Scientific Data,” in Proceedings of the SIGMOD/PODS PhD Symposium, pp. 9-14. New York, NY, USA, 2012. | |
A. Aji, F. Wang, H. Vo, R. Lee, R., Q. Liu., X. Zhang, and J. Saltz, “Hadoop GIS: A High Performance Spatial Data Warehousing System over Mapreduce,” in Proceedings of the VLDB Endow, pp. 1009-1020, August 2013. | |
M. Anna, P. Fabio., T. Roberto, and G. Fosca “WhereNext: A Location Predictor on Trajectory Pattern Mining,” in Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 637-646, New York, NY, USA, 2009. | |
T. Ashish, S. Joydeep, J. Namit, S. Shao, C. Prasad, A. Suresh, L. Hao, W. Pete, and M. Raghotham “Hive: A Warehousing Solution over a Map-reduce Framework,” in Proceedings of the. VLDB Endow, pp. 1626-1629, August 2009. | |
L. Avinash and M. Prashant “Cassandra: A Decentralized Structured Storage System” in SIGOPS Oper. Syst. Rev. (ACM), vol. 44 pp. 35-40, 2010. | |
A. Azza, B-P. Kamil, A. Daniel, A. Silberschatz, and R. Alexander. “HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads,” in Proceedings of VLDB Endowment), pp. 922-933, 2009. | |
A. Azza, B-P. Kamil, A. Daniel, A. Silberschatz, and R. Alexander. “HadoopDB in Action: Building Real World Applications,” in Proceedings of the 2010 ACM SIGMOD International Conference on Management of Data, pp. 1111-1114, New York, NY, USA, 2010. | |
Y. Bin, M. Qiang, Q. Weining, and Z. Aoying, “Truster: Trajectory Data Processing on Clusters” (demo paper), In DASFAA, pp. 768-771. 2009. | |
O. Christopher, R. Benjamin., S. Utkarsh., K. Ravi, and T. Andrew, “Pig Latin: A Not-So-Foreign Language for Data Processing,” in Proceedings of International Conference on Management of Data the ACM SIGMOD. pp. 1099-1110, New York, NY, USA, 2008. | |
H. Chunchun, K. Xionghua, L. Nianxue, and Z Qiansheng, “Parallel Clustering of Big Data of Spatio-Temporal Trajectory,” in Proceedings of the 11th International Conference on Natural Computation (ICNC), pp. 769-774, 2015. | |
X. Dawen, W. Binfeng., L. Yantao, R. Zhuobo, and Z. Zhang, “An Efficient MapReduce-Based Parallel Clustering Algorithm for Distributed Traffic Subarea Division,” Discrete Dynamics in Nature and Society, vol. 18, 2015. | |
Z. Deng and Y. Bai, “Floating Car Data Processing Model based on Hadoop-GIS Tools,” in Proceedings of the Fifth International Conference on Agro-Geoinformatics, pp. 1-4, July 2016. | |
C. Fay, D. Jeffrey., G. Sanjay, H.C. Wilson, W.A. Deborah, B. Mike, C. Tushar, F. Andrew, and G.E. Robert, “BigTable: A Distributed Storage System for Structured Data,” ACM Trans. Computer. System., vol. 26, pp. 1-26, Jun 2008. | |
Q. Hongjiang, G. Rong, Y. Chunfeng., and H. Yihua, “YAFIM: A Parallel Frequent Itemset Mining Algorithm with Spark,” IEEE International Parallel Distributed Processing Symposium Workshops, pp. 1664-1671, May 2014. | |
A. H. Htoo, G. Long, and T. Kian-Lee, “Mining Sub-trajectory Cliques to Find Frequent Routes,” in Proceedings of the 13th International Symposium on Advances in Spatial and Temporal Databases, Vol.8098, New York, NY, USA, 92-109, 2013. | |
D. Jeffrey, G. Sanjay “MapReduce: Simplified Data Processing on Large Clusters,” Commun ACM, vol. 51, pp. 107-113, January 2008. | |
Z. Jerry and P. Jelena, “MapReduce: The programming Model and Practice,” SIGMETRICS Tutorial, 2009. | |
Y. Jia, W. Jinxuan, and S. Mohamed, “GeoSpark: A Cluster Computing Framework for Processing Large-scale Spatial Data,” in Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, New York, NY, USA, 2015. | |
L. Jiamin Liu and R.H. Güting, “Parallel Secondo: Boosting Database Engines with Hadoop,” in Proceedings of the IEEE 18th International Conference on Parallel and Distributed Systems, pp. 738-743, December 2012. | |
L. Jiamin Liu and R.H. Güting,” Parallel Secondo: A Practical System for Large-Scale Processing of Moving Objects,” in Proceedings of the IEEE 30th International Conference on Data Engineering, pp. 1190-1193, Marsh, 2014. | |
G. Jian and R. Yong-gong, “Research on Improved A Priori Algorithm Based on Coding and MapReduce,” in Proceedings of the 10th Web Information System and Application Conference, pp. 294-299, 2013. | |
H. Jian, L. Chunwei, and Q. Jinhui . “Developing Map Matching Algorithm for Transportation Data Center,” in Proceedings of the Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, pp. 167-170, 2014. | |
Z. Jianting, “Towards Personal High-Performance Geospatial Computing (HPC-G): Perspectives and a Case Study,” in Proceedings of the ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information Systems, pp. 3-10, New York, NY, USA, 2010. | |
E. Masciari, S. Gao, and Z. Carlo, “Sequential Pattern Mining from Trajectory Data,” in Proceedings of the 17th International Database Engineering Applications Symposium, pp. 162-167, New York, NY, USA, 2013. | |
Z. Matei and C. Mosharaf, “Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing,” in Proceedings of the 9th USENIX Conference on Networked Systems Design and Implementation, pp. 2-2, Berkeley, CA, USENIX Association, 2012. | |
I. Michael, B. Mihai, Y. Yuan, B. Andrew, and F. Dennis, “Dryad: Distributed Data-Parallel Programs from Sequential Building Blocks,” EuroSys. 2007. | |
M. Mikolaj, “Prediction of Moving Object Location Based on Frequent Trajectories,” in Proceedings of the 21st International Conference on Computer and Information Sciences, pp. 583-592, Berlin, 2006. | |
M. Mikolaj, “Mining Frequent Trajectories of Moving Objects for Location Prediction,” in Proceedings of the Fifth International Conference on Machine Learning and Data Mining in Pattern Recognition, Vol. 4571 of lecture notes in Computer science, pp. 667-680. 2007. | |
Z. J. Mohammed, P. Srinivasan, O. Mitsunori, and L. Wei, “New Algorithms for Fast Discovery of Association Rules,” in Proceedings of the third International Conference on Knowledge Discovery and Data Mining, pp283-286, Newport, Beach, 1997. | |
S. Natalijia and S. Dragan, “Processing and Analysis of Big Trajectory Data using MapReduce,” Facta Universitatis, Series: Automatic Control and Robotics, vol. 14, pp. 19-27, 2015. | |
L. Ning, Z.li, H. Qing, and S. ZhongZhi, “Parallel Implementation of Apriori Algorithm Based on MapReduce,” in Proceedings of the 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel Distributed Computing, pp. 236-241, 2012. | |
H. Patrick, K. Mahadev, J.P Flavio, and R. Benjamin, “ZooKeeper: Wait-Free Coordination for Internet-Scale Systems,” in Proceedings of the USENIX Annual Technical Conference, pp. 11-11, Berkeley, CA: USENIX Association, 2010. | |
M. Qiang., Y. Bin, Q. Weining, and Z. Aoying, “Query Processing of Massive Trajectory Data Based on Mapreduce,” in Proceedings of the First International Workshop on Cloud Data Management. pp. 9-16, New York, NY, USA,2009. | |
G. H. Ralf, B. Thomas, and D. Christian “SECONDO: A Platform for Moving Objects Database Research and for Publishing and Integrating Research Implementations,” IEEE Data Eng. Bull., Vol. 33, pp. 56-63, 2010. | |
G. Sanjay, G. Howard, and L. Shun-Tak, “The Google File System,” in Proceedings of the Nineteenth ACM Symposium on Operating Systems Principles. pp. 29-43, New York, NY, USA, 2003. | |
R. Sanjay., K. Manohar, and K. Arti, “R-Apriori: An Efficient Apriori Based Algorithm on Spark,” in Proceedings of the 8th Workshop on Ph.D. Workshop in Information and Knowledge Management. pp. 27-34, New York, NY, USA, 2015. | |
Z. Shubin, H. Jizhong, L. Zhiyong, W. Kai, and X. Zhiyong, “SJMR: Parallelizing Spatial Join with MapReduce on Clusters,” in Proceedings of the IEEE International Conference on Cluster Computing and Workshops, pp. 1-8, 2009. | |
T. Suryakanthi and V. S. J. Pallapolu. “A Comparative Study on Performance of Hadoop File System with MapR File System to Process Big Data Records,” in IJCSI International Journal of Computer Science Issues, vol. 13, pp. 129-140, 2016. | |
K. Wang, J. Han, B. Tu, J. Dai, W. Zhou, and X. Song, “Accelerating Spatial Data Processing with MapReduce,” in Proceedings of the IEEE 16th International Conference on Parallel and Distributed Systems, pp. 229-236, December 2010. | |
X. Wang., X. Liu, B. Liu, E. N. de Souza, and S. Matwin, “Vessel Route Anomaly Detection with Hadoop MapReduce,” in Proceedings of the. IEEE International Conference on Big Data, pp. 25-30, October 2014. | |
E. Wiam, W. Ali, and A.M. Adel, “An Investigation of Parallel Road Map Inference from Big GPS Traces Data,” Procedia Computer Science, vol. 53, pp. 131-140, 2015. | |
Y. Xian, C. Xu, and Y. Liu. “Implementing Trajectory Data Stream Analysis in Parallel,” in Proceedings of the IEEE International Conference on Big Data, pp. 2431-2436, 2016. | |
D. Xie, L. Feifei, Y. Bin, L. Gefei, Z. Liang, and G. Minyi. “Simba: Efficient In-Memory Spatial Analytics,” in Proceedings of the International Conference on Management of Data. New York, NY, USA, 2016. | |
H. Yang, D. Ali, H. Ruey-Lung, and P. D. Stott, “Map-Reduce-Merge: Simplified Relational Data Processing on Large Clusters,” in Proceedings of the International Conference on Management of Data ACM SIGMOD. New York, NY, USA, 2007. | |
L. Yanhua, C. Chi-Yin, D. Ke, Y. Mingxuan, Z. Jia, Z. Jia-Dong, Y. Qiang, and Z. Zhi-Li, “Sampling Big Trajectory Data,” in Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, pp. 941-950, New York, NY, USA, ACM. | |
K. Yongchul, N. Dylan, G.P, Jeffrey, B. Magdalena, H. Bill Howe, and L. Sarah. “Scalable Clustering Algorithm for N-Body Simulations in a Shared-Nothing Cluster,” in Proceedings of the 22nd SSDBM Conference, 2010. | |
Z. Yuanchun, Z. Yang, G. Yong, X. Zhenghua, F. Yanjie, G. Danhuai, S. Jing, Z. Tiangang, W. Xuezhi, and Li. Jianhui., “An Efficient Data Processing Framework for Mining the Massive Trajectory of Moving Objects,” Computers Environment and Urban Systems, Vol. 61, pp. 129-140, 2017. |
No related articles found! |
|