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Mobile Information Systems
Volume 2017 (2017), Article ID 2835163, 7 pages
https://doi.org/10.1155/2017/2835163
Research Article

Automatic Optimizer Generation Method Based on Location and Context Information to Improve Mobile Services

1Department of Computer Science and Engineering, Dongguk University, 3-26 Pil-dong, Jung-gu, Seoul 100-715, Republic of Korea
2Electronic Commerce Institute, Dongguk University, 123 Dongdae-ro, Gyeongju-si, Gyeongbuk 780-714, Republic of Korea
3Department of Computer Engineering, Seokyeong University, 16-1 Jungneung-Dong, Sungbuk-Ku, Seoul 136-704, Republic of Korea

Correspondence should be addressed to Yangsun Lee

Received 9 December 2016; Accepted 9 February 2017; Published 14 March 2017

Academic Editor: Byeong Ho Kang

Copyright © 2017 Yunsik Son 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. F. Ben Abdesslem, A. Phillips, and T. Henderson, “Less is more: energy-efficient mobile sensing with senseless,” in Proceedings of the 1st ACM Workshops on Networking, Systems, and Applications for Mobile Handhelds (MobiHeld '09), pp. 61–62, Barcelona, Spain, August 2009. View at Publisher · View at Google Scholar
  2. Z. Zhuang, K.-H. Kim, and J. P. Singh, “Improving energy efficiency of location sensing on smartphones,” in Proceedings of the 8th Annual International Conference on Mobile Systems, Applications and Services (MobiSys '10), pp. 315–330, New York, NY, USA, June 2010. View at Publisher · View at Google Scholar · View at Scopus
  3. D. H. Kim, Y. Kim, D. Estrin, and M. B. Srivastava, “SensLoc: sensing everyday places and paths using less energy,” in Proceedings of the 8th ACM International Conference on Embedded Networked Sensor Systems (SenSys '10), pp. 43–56, Zurich, Switzerland, November 2010. View at Publisher · View at Google Scholar · View at Scopus
  4. Z. Fu, X. Sun, Q. Liu, L. Zhou, and J. Shu, “Achieving efficient cloud search services: multi-keyword ranked search over encrypted cloud data supporting parallel computing,” IEICE Transactions on Communications, vol. E98B, no. 1, pp. 190–200, 2015. View at Publisher · View at Google Scholar · View at Scopus
  5. Y. Son and Y. S. Lee, “A study on the smart virtual machine for smart devices,” Information, vol. 16, no. 2, pp. 1465–1472, 2013. View at Google Scholar · View at Scopus
  6. Y. Son, S. Oh, and Y. Lee, “Design and implementation of HTML5 based SVM for integrating runtime of smart devices and web environments,” International Journal of Smart Home, vol. 8, no. 3, pp. 223–234, 2014. View at Publisher · View at Google Scholar · View at Scopus
  7. Y. S. Lee, J. Jeong, and Y. Son, “Design and implementation of the secure compiler and virtual machine for developing secure IoT services,” Future Generation Computer Systems, 2016. View at Publisher · View at Google Scholar · View at Scopus
  8. N. Kumar and S. Hiranwal, “Current trends in the field of code optimization,” in Proceedings of the International Conference on Emerging Trends in Engineering & Management for Sustainable Development, pp. 1–6, 2016.
  9. S. Cherubin, M. Scandale, and G. Agosta, “Stack size estimation on machine-independent intermediate code for OpenCL kernels,” in Proceedings of the the 7th Workshop on Parallel Programming and Run-Time Management Techniques for Many-core Architectures and the 5th Workshop on Design Tools and Architectures For Multicore Embedded Computing Platforms (PARMA-DITAM '16), pp. 1–6, Prague, Czech Republic, January 2016. View at Publisher · View at Google Scholar
  10. A. S. Tanenbaum, H. van Staveren, and J. W. Stevenson, “Using peephole optimization on intermediate code,” ACM Transactions on Programming Languages and Systems, vol. 4, no. 1, pp. 21–36, 1982. View at Publisher · View at Google Scholar · View at Scopus
  11. W. M. McKeeman, “Peephole optimization,” Communications of the ACM, vol. 8, no. 7, pp. 443–444, 1965. View at Publisher · View at Google Scholar · View at Scopus
  12. C. M. Hoffmann and M. J. O'Donnell, “Pattern matching in trees,” Journal of the Association for Computing Machinery, vol. 29, no. 1, pp. 68–95, 1982. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet · View at Scopus
  13. Y. Son and Y. S. Lee, “A study on the code optimizer generator for the smart cross platform,” Advanced Science and Technology Letters, vol. 133, pp. 138–143, 2016. View at Google Scholar