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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸Ã³¸®ÇÐȸ ³í¹®Áö > Á¤º¸Ã³¸®ÇÐȸ ³í¹®Áö C

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Current Result Document : 199 / 270 ÀÌÀü°Ç ÀÌÀü°Ç   ´ÙÀ½°Ç ´ÙÀ½°Ç

ÇѱÛÁ¦¸ñ(Korean Title) ÀüÀÚ»ó°Å·¡ ½Ã½ºÅÛÀÇ Æ®·¡ÇÈ·® ¿¹Ãø¿¡ °üÇÑ ¿¬±¸
¿µ¹®Á¦¸ñ(English Title) A Study on Traffic Volume Prediction for e-Commerce Systems
ÀúÀÚ(Author) ±èÁ¤¼ö   Jeong-Su Kim  
¿ø¹®¼ö·Ïó(Citation) VOL 18-C NO. 01 PP. 0031 ~ 0044 (2011. 02)
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(Korean Abstract)
³×Æ®¿öÅ© ±â¹ÝÀÇ ÀûÀýÇÑ ÄÄÇ»ÆÃÀº ³×Æ®¿öÅ© ´ë¿ªÆøÀÇ °¡¿ë¼º¿¡ ÀÇÁ¸ÇÑ´Ù. ¹éº» ³×Æ®¿öÅ© ¿ë·®°ú ¾×¼¼½º ³×Æ®¿öÅ© »ó¿¡ ½É°¢ÇÑ ¹öƲ³ØÀÌ ¹ß»ýÇÏ¿© ISP »ç¾÷ÀÚ¿Í °í°´ °£ÀÇ °¸ÀÌ ¹ß»ýµÈ´Ù¸é ±×¸¸Å­ ISP »ç¾÷ÀÚ´Â »ç¾÷¿¡ ºÒÀÌÀÍÀ» ÃÊ·¡ÇÒ ¼ö ÀÖ´Ù. ÀÌ·¯ÇÑ »óȲÀÌ ¹ß»ýµÇ±â ÀÌÀü ISP »ç¾÷ÀÚ°¡ Æ®·¡ÇÈ·® ¿¹Ãø°ú Á¾´Ü°£ ¿À¹ö·Îµå°¡ ³ôÀº ¸µÅ© ±¸°£À» °¨ÁöÇÒ ¼ö ÀÖ´Ù¸é ISP »ç¾÷ÀÚ¿Í °í°´ °£ÀÇ °¸Àº ±×¸¸Å­ ÁÙ¾î µé ¼ö ÀÖÀ» °ÍÀ¸·Î ÆǴܵȴÙ. µû¶ó¼­ º» ³í¹®Àº Æ®·¡ÇÈ·® ¿¹Ãø°ú Á¾´Ü°£ ¿À¹ö·Îµå°¡ ³ôÀº ¸µÅ© ±¸°£À» °¨Áö °¡´ÉÇÑ ¼ÒÇÁÆ®¿þ¾î·Î ACE, ADM, Flow Analysis¸¦ ¼Ò°³ÇÑ´Ù. À̵é ÅøÀ» ÀÌ¿ëÇÏ¿© ÀüÀÚ»ó°Å·¡ÀÇ ¿¬¼ÓÀûÀÎ Æ®·£Àè¼ÇÀ» ½Ç¸Á¿¡¼­ ÃøÁ¤ÇÑ ÈÄ ÃøÁ¤µÈ ³×Æ®¿öÅ© µ¥ÀÌÅ͸¦ °¡»ó ¸Á ȯ°æ¿¡ ÀÓÆ÷Æ®ÇÏ°í ¹é±×¶ó¿îµå Æ®·¡ÇÈÀ» »ý¼ºÇÑ´Ù. ÀÌ¿Í °°Àº °¡»ó ¸Á ȯ°æÀ» Åä´ë·Î Á¡Â÷ÀûÀÎ »ç¿ëÀÚ ¼ö Áõ°¡¿¡ µû¸¥ Æ®·¡ÇÈ·® ¿¹Ãø°ú ¸µÅ© ·Îµå°¡ ³ôÀº ±¸°£À» ½Ã¹Ä·¹ÀÌ¼Ç °á°ú·Î ¾Ë ¼ö ÀÖ¾ú´Ù.
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(English Abstract)
The applicability of network-based computing depends on the availability of the underlying network bandwidth. Such a growing gap between the capacity of the backbone network and the end users' needs results in a serious bottleneck of the access network in between. As a result, ISP incurs disadvantages in their business. If this situation is known to ISP in advance, or if ISP is able to predict traffic volume end-to-end link high-load zone, ISP and end users would be able to decrease the gap for ISP service quality. In this paper, simulation tools, such as ACE, ADM, and Flow Analysis, were used to be able to perceive traffic volume prediction and end-to-end link high-load zone. In using these simulation tools, we were able to estimate sequential transaction in real-network for e-Commerce. We also imported virtual network environment estimated network data, and create background traffic. In a virtual network environment like this, we were able to find out simulation results for traffic volume prediction and end-to-end link high-load zone according to the increase in the number of users based on virtual network environment.
Å°¿öµå(Keyword) Æ®·¡ÇÈ·® ¿¹Ãø   ¸µÅ© ·Îµå   °¡»ó ¸Á ȯ°æ   ½Ã¹Ä·¹À̼Ǡ  Traffic Volume Prediction   Link Load   Virtual Network Environment   Simulation  
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