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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸°úÇÐȸ ³í¹®Áö > Á¤º¸°úÇÐȸ ³í¹®Áö I : Á¤º¸Åë½Å

Á¤º¸°úÇÐȸ ³í¹®Áö I : Á¤º¸Åë½Å

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ÇѱÛÁ¦¸ñ(Korean Title) ÆÐŶ ºÐ·ù¸¦ À§ÇÑ ºí·ë ÇÊÅÍ ÀÌ¿ë Æ©Çà Á¦°Å ¾Ë°í¸®Áò
¿µ¹®Á¦¸ñ(English Title) Tuple Pruning Using Bloom Filter for Packet Classification
ÀúÀÚ(Author) ±è¼Ò¿¬   ÀÓÇý¼÷   Soyeon Kim   Hyesook Lim  
¿ø¹®¼ö·Ïó(Citation) VOL 37 NO. 03 PP. 0175 ~ 0186 (2010. 06)
Çѱ۳»¿ë
(Korean Abstract)
´Ù¾çÇÑ ¾îÇø®ÄÉÀ̼ÇÀÇ µîÀå°ú ÀÎÅÍ³Ý »ç¿ëÀÚÀÇ ±Þ¼ÓÇÑ ¼ºÀåÀ¸·Î ÀÎÇÏ¿©, ÀÎÅÍ³Ý ¶ó¿ìÅÍ´Â ÆÐŶÀÌ ÀԷµǴ ¼Óµµ¿Í °°Àº ¼Óµµ·Î ÆÐŶ ºÐ·ùÀÛ¾÷À» ¼öÇàÇÏ¿© ÆÐŶÀÇ Å¬·¡½º¿¡ µû¸¥ Ç°Áú º¸ÀåÀ» Á¦°øÇÒ °ÍÀÌ ¿ä±¸µÇ°í ÀÖ´Ù. ÆÐŶ ºÐ·ù¶õ ¶ó¿ìÅÍ¿¡ ÀÔ·ÂµÈ ÆÐŶÀÇ Çì´õ°¡ °¡Áö°í ÀÖ´Â ¿©·¯ °³ÀÇ Çʵ忡 ´ëÇØ ´ÙÂ÷¿ø °Ë»öÀ» ¼öÇàÇÏ¿©, ¹Ì¸® Á¤ÀÇµÈ ·ê°ú ÀÏÄ¡ÇÏ´Â °á°ú °¡¿îµ¥ ÃÖ¿ì¼±¼øÀ§¸¦ °®´Â ·êÀ» ã¾Æ³»´Â °úÁ¤À» ¸»ÇÑ´Ù. ºü¸¥ ÆÐŶ ºÐ·ù¸¦ À§ÇÏ¿© ´Ù¾çÇÑ ÆÐŶ ºÐ·ù ¾Ë°í¸®ÁòÀÌ Á¦¾ÈµÇ¾î¿À°í ÀÖÀ¸¸ç, Æ©Çà °ø°£ Á¦°Å(tuple space pruning) ¾Ë°í¸®ÁòÀº ÀÏÄ¡ °¡´ÉÇÑ ·êÀ» °®´Â Æ©Çõ鸸À» ÇؽÌÀ» »ç¿ëÇÏ¿© °Ë»öÇÔÀ¸·Î ºü¸¥ °Ë»ö ¼º´ÉÀ» Á¦°øÇÑ´Ù. ºí·ë ÇÊÅÍ(Bloom filter)´Â ƯÁ¤ ÁýÇÕ¿¡ ¼ÓÇÏ´Â ¿ø¼ÒµéÀÇ ¸â¹ö½±¿¡ °üÇÑ Á¤º¸¸¦ °£´ÜÇÑ ºñÆ®-º¤ÅͷΠǥÇöÇÏ´Â µ¥ÀÌÅÍ ±¸Á¶·Î¼­, ƯÁ¤ ÀÔ·Â °ªÀÌ ÁýÇÕ¿¡ ¼ÓÇÑ ¿ø¼ÒÀÎÁö¸¦ ¾Ë·ÁÁÖ´Â ¼±-ÇÊÅÍ(pre-filter)·Î »ç¿ëµÈ´Ù. º» ³í¹®¿¡¼­´Â ºí·ë ÇÊÅ͸¦ ÀÌ¿ëÇÏ¿© ÀÏÄ¡ °¡´É¼ºÀÌ ¾ø´Â Æ©ÇÃÀ» È¿À²ÀûÀ¸·Î Á¦°ÅÇÏ´Â »õ·Î¿î Æ©Çà Á¦°Å ¾Ë°í¸®ÁòÀ» Á¦¾ÈÇÑ´Ù. ½ÇÁ¦ ¶ó¿ìÅÍ¿¡¼­ »ç¿ëµÇ´Â ·ê ¼Â°ú ºñ½ÁÇÑ Æ¯¼ºÀ» °®´Â´Ù°í ¾Ë·ÁÁø µ¥ÀÌÅÍ º£À̽º¿¡ ´ëÇÑ ¼º´É ºñ±³¸¦ ÅëÇÏ¿©, º» ³í¹®¿¡¼­ Á¦¾ÈÇÏ´Â ±¸Á¶°¡ ÆÐŶ ºÐ·ù ¼º´É ¹× ¸Þ¸ð¸® »ç¿ë·®¿¡ À־ ±âÁ¸ÀÇ Æ©Çðø°£ Á¦°Å ¾Ë°í¸®Áò°ú ºñ±³ÇÏ¿© ¿ùµîÈ÷ ¿ì¼öÇÔÀ» º¸¾Ò´Ù.
¿µ¹®³»¿ë
(English Abstract)
Due to the emergence of new application programs and the fast growth of Internet users, Internet routers are required to provide the quality of services according to the class of input packets, which is identified by wire-speed packet classification. For a pre-defined rule set, by performing multi-dimensional search using various header fields of an input packet, packet classification determines the highest priority rule matching to the input packet. Efficient packet classification algorithms have been widely studied. Tuple pruning algorithm provides fast classification performance using hash-based search against the candidate tuples that may include matching rules. Bloom filter is an efficient data structure composed of a bit vector which represents the membership information of each element included in a given set. It is used as a pre-filter determining whether a specific input is a member of a set or not. This paper proposes new tuple pruning algorithms using Bloom filters, which effectively remove unnecessary tuples which do not include matching rules. Using the database known to be similar to actual rule sets used in Internet routers, simulation results show that the proposed tuple pruning algorithm provides faster packet classification as well as consumes smaller memory amount compared with the previous tuple pruning algorithm.
Å°¿öµå(Keyword) ÆÐŶ ºÐ·ù   Æ©Çà Á¦°Å   ºí·ë ÇÊÅÍ   Çؽ̠  Packet classification   Tuple pruning   Bloom filter   Hashing  
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