Intelligent reconfigurable method of cloud computing resources for multimedia data delivery

Informatica (Netherlands)

Volumn 24, Issue 3, 2013, Pages 381-394

  Choi, Junho ^a   Choi, Chang ^a   Yim, Kangbin ^b   Kim, Jeongnyeo ^c   Kim, Pankoo ^a  

^a Chosun University   (South Korea)

^b Soonchunhyang University   (South Korea)

^c Electronics and Telecommunications Research Institute (ETRI)   (South Korea)

Author keywords

Cloud computing; fp growth algorithm; mapreduce; resource provisioning

Indexed keywords

EID: 84897968877     PISSN: 08684952     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (21)

1. Azza, A., Kamil, B., Daniel J.A., Avi, S., Alex, R. (2009). HadoopDB : An architectural hybrid of mapreduce and dbms technologies for analytical workloads. Proceedings of the VLDB Endowment: VLDB Endowment Hompage Archive, 2(1), 922-933.
2. Chaiken, R., Jenkins, B., Larson, P.A., Ramsey, B., Shakib, D., Weaver, S., Zhou, J. (2008). Scope: Easy and efficient parallel processing of massive data sets. Proceedings of the VLDB Endowment: VLDB Endowment Hompage Archive 1(2), 1265-1276.
3. Chu, C.T., Kim, S. K., Lin, Y.A., Yu, Y., Bradski, G., Ng, A. Y., Olukotun, K. (2007). Map-Reduce for machine learning on multicore. Neural Information Processing Systems, 19, 281-288.
4. Dean J. Ghemawat S.(2010).MapReduce: A flexible data processing tool. Communications of the ACM, 53 1 72-77.
5. Grossman, R.L., Gu, Y. (2008). Data mining using high performance clouds: Experimental studies using sector and sphere in KDD. In: KDD'08 Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 920-927.
6. Hung, C.Y., Ali, D., Ruey-Lung, H., Stott, P.D. (2007). Map-Reduce-Merge: Simplified relational data processing on large clusters. In: SIGMOD'07 Proceedings of the 2007 ACM SIGMOD International Conference on Management of Data, pp. 1029-1040.
7. Iko, P., Masaru, K. (2003). Parallel fp-Growth on pc cluster. In: PAKDD'03 Proceedings of the 7th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, vol. 2637, pp. 467-473.
8. Isard, M., Budiu, M. , Yu, Y., Birrell, A., Fetterly, D. (2007). Dryad: Distributed data-Parallel programs from sequential building blocks. In: EuroSys'07 Proceedings of the 2nd ACM SIGOPS/EuroSys European Con-Ference on Computer Systems 2007. AC M SIGOPS Operating Systems Review-EuroSys'07 Conference Proceedings 41(3), pp. 59-72.
9. Jeanna,M., Tal, G., Christofer, H., Jeff,W. (2009). Virtual machine contracts for datacenter and cloud computing environments. In: ACDC '09 Proceedings of the 1st Workshop on Automated Control for Datacenters and Clouds, pp. 25-30.
10. Jochen, L., Leidner, Gary, B. (2009). Building and Installing a Hadoop/MapReduce Cluster from Commodity Components technical report, pp. 1-15, http://arxiv.org/ftp/arxiv/papers/0911/0911.5438.pdf.
11. Kang, U., Tsourakakis, Faloutsos, C. (2009). PEGASUS: A peta-Scale graph mining system implementation and observations. In: Proceedings of the 9th IEEE International Conference on Data Mining. IEEE Computer Society, Washington, pp. 229-238.
12. Karloff, H., Suri, S.,Vassilvitskii, S. (2010). Amodel of computation forMapReduce. In: SODA '10 Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 938-948.
13. Lamine, M.A., Nhien-An, L., Tahar, M.K. (2007). Distributed frequent itemsets mining in heterogeneous platforms. Engineering, Computing and Archtecture, 1(2).
14. Lammel, R. (2008). Google's MapReduce programming model-Revisited. Science of Computer Programming, 70(1), pp. 1-30.
15. Li, H., Wang, Y. , Zhang, D., Zhang, M., Chang, E.Y. (2008). PFP: Parallel FP-Growth for query recommendation. In: RecSys '08 Proceedings of the 2008 ACM Conference on Recommender Systems. ACM, New York, pp. 107-114.
16. Li, L., Eric L.,Yimin, Z., Zhizhong, T. (2007). Optimization of frequent itemset mining onmultiple-Core processor. In: VLDB '07 Proceedings of the 33rd International Conference on Very Large Data Bases, pp. 1275-1285.
17. Luis, M.V., Luis, R., Juan, C., Maik, L. (2009). A break in the clouds: Towards a cloud definition. ACM SIGCOMM Computer Communication Review, 39(1), pp. 50-55.
18. Mladen, A.V. (2008). Cloud computing-Issues, research and implementations. Journal of Computing and Information Technology, 16(4) pp. 235-246.
19. Papadimitriou, S., Sun, J. (2008). DisCo: Distributed co-Clustering with map-Reduce: A case study towards peta byte-Scale end-To-End mining. In: Proceedings of the 8th IEEE International Conference on Data Mining, IEEE Computer Society, Washington, pp. 512-521.
20. Pavlo, A., Rasin, A., Madden, S., Stonebraker, M., DeWitt, D., Paulson, E., Shrinivas, L., Abadi, D.J. (2009). A comparison of approaches to large scale data analysis. In: SIGMOD '09: Proceedings of the 35th SIGMOD International Conference on Management of Data, pp. 165-178.
21. Thusoo A. Sarma J.S. Jain N. Shao Z. Chakka P. Anthony S.Liu H. Wyckoff P. Murthy R. 2009 Hive: A warehousing solution over a map-Reduce framework. Proceedings of the VLDB Endowment 2 2 1626-1629.