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

Á¤º¸Ã³¸®ÇÐȸ ³í¹®Áö C

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) ¸ð¹ÙÀÏ P2P ȯ°æ¿¡¼­ ³×Æ®¿öÅ© Æ®·¡ÇÈÀ» ÃÖ¼ÒÈ­ÇÑ ÀûÀÀÀûÀÎ Chord
¿µ¹®Á¦¸ñ(English Title) An Adaptive Chord for Minimizing Network Traffic in a Mobile P2P Environment
ÀúÀÚ(Author) À±¿µÈ¿   °ûÈı٠  ±èÁ¤±æ   Á¤±Ô½Ä   Younghyo Yoon   Hukeun Kwak   Cheongghil Kim   Kyusik Chung  
¿ø¹®¼ö·Ïó(Citation) VOL 16-C NO. 06 PP. 0761 ~ 0772 (2009. 12)
Çѱ۳»¿ë
(Korean Abstract)
ºÐ»ê Çؽ¬ Å×À̺í(DHT : Distributed Hash Table) ±â¹ÝÀÇ P2P´Â ±âÁ¸ Unstructured P2P ¹æ½ÄÀÇ ´ÜÁ¡À» º¸¿ÏÇϱâ À§ÇÑ ¹æ½ÄÀÌ´Ù. DHT ¾Ë°í¸®ÁòÀ» »ç¿ëÇÏ¸é ºü¸¥ µ¥ÀÌÅÍ °Ë»öÀ» ÇÒ ¼ö ÀÖ°í, ÇÇ¾î °³¼ö¿¡ ¹«°üÇÏ°Ô °Ë»ö È¿À²À» À¯ÁöÇÒ ¼ö ÀÖ´Ù. DHT ¹æ½ÄÀÇ ÇǾîµéÀº ¶ó¿ìÆà Å×À̺íÀ» ÃÖ½ÅÀ¸·Î À¯ÁöÇϱâ À§ÇØ ÁÖ±âÀûÀ¸·Î ¸Þ½ÃÁö¸¦ º¸³½´Ù. ¸ð¹ÙÀÏ È¯°æÀÇ °æ¿ì, DHT¹æ½ÄÀÇ ÇǾîµéÀº ¶ó¿ìÆà Å×À̺íÀ» ÃÖ½ÅÀ¸·Î À¯ÁöÇÏ°í ¿äû ½ÇÆи¦ ÁÙÀ̱â À§Çؼ­ ºü¸¥ ÁÖ±â·Î ¸Þ½ÃÁö¸¦ º¸³»¾ß ÇÑ´Ù. ÇÏÁö¸¸ ÀÌ·Î ÀÎÇØ, ³×Æ®¿öÅ©ÀÇ Æ®·¡ÇÈÀº Áõ°¡ÇÏ°Ô µÈ´Ù. º» ¿¬±¸ÀÚµéÀº ±âÁ¸ ¿¬±¸¿¡¼­ ¸®¾×Ƽºê ¶ó¿ìÆà Å×ÀÌºí ¾÷µ¥ÀÌÆ® ¹æ½ÄÀ» ÀÌ¿ëÇÏ¿© ±âÁ¸ Chord¿¡¼­ÀÇ ¶ó¿ìÆà Å×ÀÌºí ¾÷µ¥ÀÌÆ®¿¡ µû¸¥ ºÎÇϸ¦ ÁÙÀÌ´Â ±â¹ýÀ» Á¦¾ÈÇÏ¿´À¸³ª, ÃÊ´ç ¿äû ¸Þ½ÃÁö °³¼ö°¡ ¸¹¾ÆÁö°Ô µÇ¸é ±âÁ¸ÀÇ ¹æ½Äº¸´Ù Æ®·¡ÇÈ ¾çÀÌ ¸¹¾ÆÁö°Ô µÇ´Â ´ÜÁ¡À» °¡Áø´Ù.
ÀÌ¿¡ º» ³í¹®¿¡¼­´Â Àüü ³×Æ®¿öÅ©ÀÇ Æ®·¡ÇÈÀ» ÁÙÀ̱â À§ÇÑ ÀûÀÀÀûÀÎ ¶ó¿ìÆà Å×ÀÌºí ¾÷µ¥ÀÌÆ® ¹æ½ÄÀ» Á¦¾ÈÇÑ´Ù. º» ¿¬±¸ÀÚµéÀº Á¦¾ÈµÈ ¹æ¹ý¿¡¼­ ÃÊ´ç ¿äû ¸Þ½ÃÁöÀÇ °³¼ö¿¡ µû¶ó ¶ó¿ìÆà Å×ÀÌºí ¾÷µ¥ÀÌÆ® ¹æ½ÄÀ» ¹Ù²Ù´Â °ÍÀ» Á¦¾ÈÇÏ¿´´Ù. ÀûÀÀÀûÀÎ Chord´Â ÃÊ´ç ¿äû ¸Þ½ÃÁöÀÇ °³¼ö°¡ ¾î´À ÀÓ°è°ªº¸´Ù ÀÛ¾ÆÁö¸é ¸®¾×Ƽºê Chord¸¦ »ç¿ëÇÏ°í, ±× ¹Ý´ëÀÇ °æ¿ì¿¡´Â ±âÁ¸ÀÇ Chord¸¦ »ç¿ëÇÏ´Â ¹æ½ÄÀÌ´Ù. ½ÇÇèÀº ¹öŬ¸® ´ëÇп¡¼­ ¸¸µé¾îÁø Chord ½Ã¹Ä·¹ÀÌÅÍ(I3)¸¦ ÀÌ¿ëÇÏ¿© ¼öÇàÇÏ¿´°í, ½ÇÇèÀ» ÅëÇÏ¿© Á¦¾ÈµÈ ¹æ½ÄÀÌ ±âÁ¸ ¹æ½Ä¿¡ ºñÇØ ¼º´ÉÀÌ Çâ»óµÇ¾úÀ½À» È®ÀÎÇÏ¿´´Ù.
¿µ¹®³»¿ë
(English Abstract)
A DHT(Distributed Hash Table) based P2P is a method to overcome disadvantages of the existing unstructured P2P method. If a DHT algorithm is used, it can do a fast data search and maintain search efficiency independent of the number of peer. The peers in the DHT method send messages periodically to keep the routing table updated. In a mobile environment, the peers in the DHT method should send messages more frequently to keep the routing table updated and reduce the failure of a request. Therefore, this results in increase of network traffic. In our previous research, we proposed a method to reduce the update load of the routing table in the existing Chord by updating it in a reactive way, but the reactive method had a disadvantage to generate more traffic than the existing Chord if the number of requests per second becomes large.
In this paper, we propose an adaptive method of routing table update to reduce the network traffic. In the proposed method, we apply different routing table update method according to the number of request message per second. If the number of request message per second is smaller than some threshold, we apply the reactive method. Otherwsie, we apply the existing Chord method. We perform experiments using Chord simulator (I3) made by UC Berkeley. The experimental results show the performance improvement of the proposed method compared to the existing methods.
Å°¿öµå(Keyword) ºÐ»ê Çؽ¬ Å×ÀÌºí   ¶ó¿ìÆà Å×ÀÌºí   ¸®¾×Ƽºê Äڵ堠 ÀûÀÀÀûÀÎ Äڵ堠 Distributed Hash Table   Routing Table   Reactive Chord   Adaptive Chord  
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