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Journal of Applied Mathematics
Volume 2014 (2014), Article ID 170723, 10 pages
http://dx.doi.org/10.1155/2014/170723
Research Article

REST-MapReduce: An Integrated Interface but Differentiated Service

1Department of Computer Engineering, Seoul National University of Science and Technology, 232 Gongneung-ro, Nowon-gu, Seoul 139-743, Republic of Korea
2Humanitas College, Kyunghee University, No. 26, Kyunghee-daero, Dongdaemun-gu, Seoul 130-701, Republic of Korea
3Department of Multimedia Engineering, Dongguk University, 30 Pildong-ro 1 Gil, Jung-gu, Seoul 100-715, Republic of Korea
4Department of Information and Communication Engineering, Chungbuk National University, 52 Naesudong-ro, Heungdeok-gu, Chungbuk, Cheongju 361-763, Republic of Korea

Received 16 March 2014; Accepted 3 April 2014; Published 11 June 2014

Academic Editor: Laurence T. Yang

Copyright © 2014 Jong-Hyuk Park et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. Dean and S. Ghemawat, “MapReduce: simplied data processing on large clusters,” in USENIX International Conference on OSDI, 2004.
  2. A. C. Murthy, C. Douglas, M. Konar et al., “Architecture of next generation apache hadoop MapReduce framework,” Tech. Rep., 2013. View at Google Scholar
  3. “Processing and Loading Data from Amazon S3 to the Vertica Analytic Database,” White Paper, Amazon Web Service, 2013.
  4. Hadoop, http://hadoop.apache.org/.
  5. Amazon Elastic MapReduce Developer Guide, Amazon Web Service, 2009.
  6. Getting Started with Amazon Elastic MapReduce, Amazon Web Service, March 2009.
  7. I. Macdonald, “Ruby/Amazon & Amazon web services,” Dr. Dobb's Journal, vol. 30, no. 2, pp. 30–34, 2005. View at Google Scholar · View at Scopus
  8. R. Hussain and H. Oh, “Cooperation-aware VANET clouds: providing secure cloud services to vehicular ad hoc networks,” Journal of Information Processing Systems, vol. 10, no. 1, pp. 103–118, 2014. View at Google Scholar
  9. S. Islam, R. Rahman, A. Roy, I. Islam, and M. R. Amin, “Performance evaluation of finite queue switching under two-dimensional M/G/1(m) traffic,” Journal of Information Processing Systems, vol. 7, no. 4, pp. 679–690, 2011. View at Google Scholar
  10. R. Pan, G. Xu, B. Fu, P. Dolog, Z. Wang, and M. Leginus, “Improving recommendations by the clustering of tag neighbours,” Journal of Convergence, vol. 3, no. 1, pp. 13–20, 2012. View at Google Scholar
  11. H. Zhao and P. Doshi, “Towards automated RESTful Web service composition,” in Proceedings of the IEEE International Conference on Web Services (ICWS '09), pp. 189–196, July 2009. View at Publisher · View at Google Scholar · View at Scopus
  12. X. Zhao, E. Liu, G. J. Clapworthy, N. Ye, and Y. Lu, “RESTful web service composition: extracting a process model from linear logic theorem proving,” in Proceedings of the 7th International Conference on Next Generation Web Services Practices (NWeSP '11), pp. 398–403, October 2011. View at Publisher · View at Google Scholar · View at Scopus
  13. Z. Li and L. O'Brien, “Towards effort estimation for web service compositions using classification matrix,” 2010.
  14. C. Pautasso, O. Zimmermann, and F. Leymann, “RESTful web services vs. “Big” web services: making the right architectural decision,” in Proceedings of the 17th International Conference on World Wide Web (WWW '08), pp. 805–814, April 2008. View at Publisher · View at Google Scholar · View at Scopus
  15. R. Alarcon, E. Wilde, and J. Bellido, “Hypermedia-driven RESTful service composition,” Service-Oriented Computing, Springer, vol. 6568, pp. 111–120, 2011. View at Publisher · View at Google Scholar · View at Scopus
  16. M. Yoon, Y. K. Kim, and J. W. Jang, “An energy-efficient routing protocol using message success rate in wireless sensor networks,” Journal of Convergence, vol. 4, no. 1, 2013. View at Google Scholar
  17. “The Internet of Things: In action, The Next Web,” http://thenextweb.com/insider/2013/05/19/the-internet-of-things-in-action/.
  18. J. Rao and X. Su, “A survey of automated Web service composition methods,” in Proceedings of the 1st International Workshop on Semantic Web Services and Web Process Composition (SWSWPC '04), pp. 43–54, July 2004. View at Scopus
  19. J. Dean and S. Ghemawa, “MapReduce: simplified data processing on large clusters,” in Proceedings of the 6th USENIX Symposium on Operating System Design and Implementation, 2004.
  20. C. Pautasso, “RESTful web service composition with BPEL for REST,” Data and Knowledge Engineering, vol. 68, no. 9, pp. 851–866, 2009. View at Publisher · View at Google Scholar · View at Scopus
  21. F. O. Catak and M. E. Balaban, “CloudSVM: training an SVM classifier in cloud computing systems,” in Pervasive Computing and the Networked World, pp. 57–68, 2013. View at Google Scholar
  22. IBM Smart Cloud, http://www.ibm.com/cloud-computing/us/en/.
  23. M. de Kruijf and K. Sankaralingam, MapReduce for the Cell B.E. Architecture, Vertical Research Group. Department of Computer Sciences, University of Wisconsin-Madison, 2010.
  24. M. Choi, J. Park, and Y.-S. Jeong, “Mobile cloud computing framework for a pervasive and ubiquitous environment,” The Journal of Supercomputing, vol. 64, no. 2, pp. 331–356, 2013. View at Publisher · View at Google Scholar · View at Scopus