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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸°úÇÐȸ ³í¹®Áö > Á¤º¸°úÇÐȸ ÄÄÇ»ÆÃÀÇ ½ÇÁ¦ ³í¹®Áö (KIISE Transactions on Computing Practices)

Á¤º¸°úÇÐȸ ÄÄÇ»ÆÃÀÇ ½ÇÁ¦ ³í¹®Áö (KIISE Transactions on Computing Practices)

Current Result Document : 20 / 39 ÀÌÀü°Ç ÀÌÀü°Ç   ´ÙÀ½°Ç ´ÙÀ½°Ç

ÇѱÛÁ¦¸ñ(Korean Title) SDN ȯ°æ¿¡¼­ È¿À²Àû Flow Àü¼ÛÀ» À§ÇÑ Àü¼Û Áö¿¬ Æò°¡ ±â¹Ý ºÎÇÏ ºÐ»ê ±â¹ý ¿¬±¸
¿µ¹®Á¦¸ñ(English Title) Transmission Delay Estimation-based Forwarding Strategy for Load Distribution in Software-Defined Network
ÀúÀÚ(Author) ±èµµÇö   È«Ãæ¼±   Do Hyeon Kim   Choong Seon Hong  
¿ø¹®¼ö·Ïó(Citation) VOL 23 NO. 05 PP. 0310 ~ 0315 (2017. 05)
Çѱ۳»¿ë
(Korean Abstract)
¿ä ¾à Software-Defined NetworkÀÇ µîÀåÀº Çϵå¿þ¾îÀûÀÎ ³×Æ®¿öÅ© ±â´ÉµéÀ» ¼ÒÇÁÆ®¿þ¾îÀûÀÎ ÇüÅÂÀÇ ¸ðµâ·Î Controller¿¡ º¸´Ù À¯¿¬ÇÏ°Ô Àû¿ë½ÃÅ°µµ·Ï ÇÔÀ¸·Î½á ÀüÅëÀûÀÎ ³×Æ®¿öÅ©ÀÇ ±¸Á¶¸¦ º¯È­½ÃÅ°°í ÀÖ´Ù. ÀÌ·¯ÇÑ È¯°æ ¼Ó¿¡¼­ ÃÖ±Ù ³×Æ®¿öÅ© Æ®·¡ÇÈ¿¡ ´ëÇÑ Quality of Service ¹× ÀÚ¿ø°ü¸®¿Í °°Àº ´Ù¾çÇÑ °üÁ¡¿¡¼­ÀÇ ³×Æ®¿öÅ© °ü¸®Á¤Ã¥¿¡ ´ëÇÑ ¿¬±¸°³¹ßÀÌ ÁøÇàµÇ°í ÀÖ°í, ÀÌ·¯ÇÑ °ü¸®Á¤Ã¥À» µÞ¹Þħ ÇÒ ¼ö ÀÖ´Â ³×Æ®¿öÅ© ¸ð´ÏÅ͸µ¿¡ ´ëÇÑ ±â¹ýµé ¶ÇÇÑ Á¦½ÃµÇ¾î ¿Ô´Ù. ÀÌ¿¡ º» ³í¹®¿¡¼­´Â ±â°è ÇнÀ ±â¹ýÀÎ Naive Bayesian ClassificationÀ» ÅëÇÏ¿© Flow¸¦ ºÐ·ùÇÑ ÈÄ, Àü¼Û Áö¿¬ ÃøÁ¤ ¸ðµâÀ» ÅëÇÏ¿© È¿À²ÀûÀÎ Àü¼Û°æ·Î¸¦ ¼±Á¤ÇÏ´Â ±â¹ýÀ» Á¦¾ÈÇÑ´Ù. ÀÌ´Â ´Ù¾çÇÑ ´ë¿ªÆøÀ» °®´Â ¿©·¯ °æ·Îµé·Î ÀÌ·ç¾îÁø ³×Æ®¿öÅ©»ó¿¡¼­ È¿À²ÀûÀÎ °æ·Î ºÐ¹è ¿ªÇÒÀ» ÇÒ ¼ö ÀÖ°í, ºÎÇϸ¦ ºÐ»ê½ÃÅ´À¸·Î½á º¸´Ù ¿øÈ°ÇÑ ³×Æ®¿öÅ© ȯ°æ ¹× ¼­ºñ½º Ç°ÁúÀ» Á¦°øÇÒ ¼ö ÀÖ´Ù.
¿µ¹®³»¿ë
(English Abstract)
In a centralized control structure, the software defined network controller manages all openflow enabled switched in a data plane and controls the telecommunication between all hosts. In addition, the network manager can easily deploy the network function to the application layer with a software defined network controller. For this reason, many methods for network management using a software defined network concept have been proposed. The main policies for network management are related to traffic Quality of Service and resource management. In order to provide Quality of Service and load distribution for network users, we propose an efficient routing method using a naive bayesian algorithm and transmission delay estimation module. In this method, the forwarding path is decided by flow class and estimated transmission delay result in the software defined network controller. With this method, the load on the network node can be distributed to improve overall network performance. The network user also gets better dynamic Quality of Service.
Å°¿öµå(Keyword) ¼ÒÇÁÆ®¿þ¾î Á¤ÀÇ ³×Æ®¿öÅ©   ±â°èÇнÀ   Æ®·¡ÇÈ ºÐ·ù   Àü¼Û Áö¿¬   SDN   classification   transmission delay   machine learning  
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