한국인터넷방송통신학회논문지 (The Journal of the Institute of Internet, Broadcasting and Communication)

  • 제18권3호
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  • Pages.1-7
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  • 2018
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  • 2289-0238(pISSN)
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  • 2289-0246(eISSN)
한국인터넷방송통신학회 (The Institute of Internet, Broadcasting and Communication)
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모바일 포털들의 응답시간 비교 및 분류에 관한 연구

A Study on Comparison and Classification of Response Time of Mobile Portals

  • 류귀열 (서경대학교 컴퓨터과학과)
  • Ryu, Gui-Yeol (Dept. of Computer Science, Seokyeong University)
  • 투고 : 2018.05.21
  • 심사 : 2018.06.08
  • 발행 : 2018.06.30
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초록

연구의 목적은 3개 모바일 포털사이트의 응답시간을 분포를 이용하여 비교하고 분류하는 것이다. 연구대상은 Naver, Daum, Nate의 모바일 포털 사이트 접속페이지이며, 실험기간은 모바일 포털들이 활성화되기 시작되던 즈음인 2012년 4월 18일에서 2018년 4월 17일까지 6년간이다. 그리고 실험횟수는 4,060회이다. 분포비교를 위해 히스토그램과 백분율을 이용하였으며 이론적인 비교를 위해 모수적 방법인 카이스케어 검정과 비모수적 방법인 콜모고로프-스미르노프 검정을 실시하였다. 네가지 방법 모두 Naver가 가장 빨랐고, 다음이 Nate, Daum이 가장 느렸다. 평균 응답시간 면에서도 같은 결과를 낳았다. 이러한 결과는 유선 포털의 결과와 정반대로서, Naver는 매체 특성에 맞게 유선에서는 많은 콘텐츠를 무선에서는 응답시간을 높이는 전략이고, Daum은 무선에서 응답시간을 희생하면서 콘텐츠를 중시하는 전략을 구사하고 있음을 알 수 있다. 분류에서는 응답시간에 따라 "Comfortable"과 "Tolerable", "Feedback", "Leave"로 나누었으며, 이용자들이 떠날 수 있다는 7초 이상인 "Leave"의 비율이 Naver는 1.18%, Daum이 11.70%, Nate가 1.5%로 Daum이 압도적으로 높아서 Daum의 응답시간은 개선이 매우 절실한 수준임을 알 수 있다. 또한 분류 결과에 의하면 3개 모바일 포털들이 응답시간을 줄이는 것이 필요하다는 것을 밝혔다. 본 논문의 결과가 모바일 포털들의 응답시간을 줄이는 기술경쟁을 촉진할 수 있기를 기대한다.

The purpose of this study is to compare and analyze the response time of three mobile portal sites in Korea using distributions. The research subjects are the mobile portal site of Naver, Daum, and Nate. The experiment period is six years from April 18, 2012 when mobile portals started to activate, to April 17, 2018. The number of experiments is 4,060. Histograms and percentages were used for the distribution comparisons. For the theoretical comparison, Chi-Square test is adopted as a parametric method, and Kolmogorov-Smirnov test is as a nonparametric method. Naver was the fastest of all four methods, the next was Nate, the next was the slowest. The same result was obtained in terms of average response speed. These results are in contradiction to the results of the wired portal. Naver is a strategy to increase the response speed in accordance with the characteristics of media. Daum is a strategy to increase the contents at the cost of response speed. As for classification, we divide the response time into "Comfortable", "Tolerable", "Feedback", "Leave" according to response time. The ratio of more than 7 seconds that users leave called as "Leave" is 1.18% for Naver, 11.70% for Daum, and 1.5% for Nate. As Daum is overwhelmingly high, the response time is very much in need of improvement. In addition, we show the response time of three mobile portals needs to be reduced We hope that the results of this paper will facilitate technology competition to increase the response speed of mobile portals.

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참고문헌

  1. T. K. Chiew,. Web page performance analysis, PhD Thesis, University of Glasgow, 2009.
  2. J. Han, K. Lee and J. Yang, The effects of the 16-weeks' combined exercise program on metabolic syndrome and autonomic nerve system of low-level physical strength group. Journal of the Korean Data & Information Science Society, 23, 895-904, 2012. https://doi.org/10.7465/jkdi.2012.23.5.895
  3. J. Hong, Statistical probability distribution, Freeacademy, Kyeonggi, 2000.
  4. J. Hong and J. Kim, Nonparametric homogeneity tests of two distributions for credit rating model validation. Journal of the Korean Data & Information Science Society, 20, 261-272, 2009.
  5. J. Hoxmeier and C. DiCesare, "System response time and user satisfaction: an experimental study of browser-based applications," Proceedings of the 4th CollECTeR Conference on Electronic Commerce, Breckenridge 11 April 2000.
  6. M. H. Hur, Mathematical statistic, Parkyoungsa, Seoul, 2011.
  7. Z. Jiang, J. Kim and S. Yoon, The analysis of inequality of firm size distribution. Journal of the Korean Data Analysis Society, 12, 2185-2194, 2010.
  8. W. Jin, and D. Kim, "A Design and Implementation of Indoor IoT Resource Control Service using Web-based IETF CoAP Protocol," The Journal of the Institute of Internet, Broadcasting and Communication, 16(1), pp. 72-82, 2016. DOI: http://dx.doi.org/10.7236/JIIBC.2016.16.1.77
  9. I. H. Kim, "Web service, the faster the better," Proceedings of the DEVIEW 2012.
  10. T. Kim, Visualization analysis of small and medium enterprises survival distribution after IMF. Journal of the Korean Data Analysis Society, 13, 441-455, 2011.
  11. D. Kim and K. Oh, On the equality of two distributions based on nonparametric kernel density estimator. Journal of the Korean Data & Information Science Society, 14, 247-255, 2003.
  12. S. Lee, Y. Cho and J. Yang, A study on the effects of a 12-week compound exercise program on obese middle school girls' leptin and insulin levels Journal of the Korean Data & Information Science Society, 23, 787-796, 2012. https://doi.org/10.7465/jkdi.2012.23.4.787
  13. C. Park, H. Park and Y. Hong, "Traffic Safety System based on WEB," The Journal of the Institute of Internet, Broadcasting and Communication, 14(3), pp. 81-88, 2014. DOI: http://dx.doi.org/10.7236/JIIBC.2014.14.3.81
  14. W. Press, S. Teukoisky, W. Vettering and B. Flannery, Numerical recipes in C. Cambridge University Press, Cambridge, 2002.
  15. G. Y. Ryu, "A study on distribution comparison of response packets for major portal sites." Journal of the Korean Data & Information Science Society, 24:23-3, 2013. https://doi.org/10.7465/jkdi.2013.24.1.23
  16. G. Y. Ryu, "A study on comparing response times between Wibro and wired internet using portals." Journal of the Korean Data & Information Science Society, 24:437-444, 2013. https://doi.org/10.7465/jkdi.2013.24.3.437
  17. G. Y. Ryu, A study on quality of portals based on probability distributions of response time. Journal of the Korean Society for Quality Management, 44, 33-41, 2014..
  18. G. Y. Ryu, A study on analysis of packet amount of Naver's mobile portal. Journal of the Korean Data & Information Science Society, 27, 701-710, 2016. https://doi.org/10.7465/jkdi.2016.27.3.701
  19. S. C. Seow, Designing and engineering time. Addison-Wesley, Boston, 2008.
  20. M. S. Song, Mathematical statistic, Parkyoungsa, Seoul, 2002.
  21. J. Touch, J. Heidemann, and K. Obraczka, "Analysis of HTTP performance," USC/ISI Research Report 98-463:1-10, 1998.