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Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) WANProxyÀÇ ¼º´É ºÐ¼® ¹× °³¼±
¿µ¹®Á¦¸ñ(English Title) Performance Analysis and Improvement of WANProxy
ÀúÀÚ(Author) ±èÇϴà  Áö½Â±Ô   Á¤±Ô½Ä   Kim Haneul   Ji Seungkyu   Chung Kyusik  
¿ø¹®¼ö·Ïó(Citation) VOL 09 NO. 03 PP. 0045 ~ 0058 (2020. 03)
Çѱ۳»¿ë
(Korean Abstract)
Ŭ¶ó¿ìµå ¼­ºñ½º¿Í ¸ð¹ÙÀÏ ±â±âÀÇ ´ëÁßÈ­·Î ³×Æ®¿öÅ© Æ®·¡ÇÈÀÌ °è¼Ó Áõ°¡ÇÏ°í ÀÖ´Â ÇöÀç Ãß¼¼¿¡ LAN ´ë¿ªÆø¿¡ ºñÇØ WAN ´ë¿ªÆøÀÌ ¾ÆÁÖ ³·´Ù. WAN ȯ°æ¿¡¼­´Â Àü¼Û ÇÁ·ÎÅäÄÝ, ÆÐŶ ¼Õ½Ç, ³×Æ®¿öÅ© ´ë¿ªÆø ÇÑ°è ¶§¹®¿¡ »ý±â´Â ¼º´É ¹®Á¦¸¦ ±Øº¹ÇÏ´Â WAN ÃÖÀûÈ­±â°¡ ÇÊ¿äÇÏ´Ù. º» ³í¹®¿¡¼­´Â ¿ÀǼҽº WAN ÃÖÀûÈ­±âÀÎ WANProxyÀÇ µ¥ÀÌÅÍ Áߺ¹Á¦°Å ¾Ë°í¸®ÁòÀ» ºÐ¼®ÇÏ°í ¼º´ÉÀ» ³×Æ®¿öÅ© ´ë±â½Ã°£ ¹× WAN ´ë¿ªÆø °üÁ¡¿¡¼­ Æò°¡ÇÑ´Ù. ¶ÇÇÑ, WANProxy¿¡ Ãß°¡·Î zstd¸¦ Àû¿ëÇÏ´Â 2´Ü°è ¾ÐÃàÀ» Àû¿ëÇÒ °æ¿ìÀÇ ¼º´ÉÀ» Æò°¡ÇÑ´Ù. ¶ÇÇÑ, WANProxyÀÇ µ¥ÀÌÅÍ Áߺ¹ Á¦°Å ¹æ¹ýÀ» °³¼±ÇÑ »õ·Î¿î ¹æ¹ýÀ» Á¦¾ÈÇÏ°í ¼º´É °³¼± È¿°ú¸¦ Æò°¡ÇÑ´Ù. µ¥ÀÌÅÍ ¼¼±×¸ÕÆ® Å©±â¸¦ 2048¹ÙÀÌÆ®·Î ÇÏ°í SilesiaÀÇ 12°³ µ¥ÀÌÅÍ ÆÄÀÏÀ» ÀÌ¿ëÇÑ ¼º´É ½ÇÇèÀ» ¼öÇàÇÑ´Ù. ½ÇÇè °á°ú¿¡ ÀÇÇϸé, WANProxy¿¡ ÀÇÇÑ Æò±Õ ¾ÐÃà·üÀÌ 150.6ÀÌ°í ³×Æ®¿öÅ© ´ë±â½Ã°£ Æò±Õ °¨¼ÒÀ²Àº 10 Mbps WAN ȯ°æ¿¡¼­´Â 95.2%, 100 Mbps WAN ȯ°æ¿¡¼­´Â 60.7%°¡ µÈ´Ù. WANProxy¿¡ Ãß°¡·Î zstd¸¦ Àû¿ëÇÏ´Â ¹æ¹ýÀº WANProxy¸¦ Àû¿ëÇÏ´Â °æ¿ì¿Í ºñ±³ÇÒ ¶§ ¾ÐÃà·üÀÌ Æò±Õ 33% Áõ°¡ÇÏÁö¸¸ ³×Æ®¿öÅ© ´ë±â½Ã°£ÀÌ 10 Mbps WAN ȯ°æ¿¡¼­´Â Æò±Õ 2.1%, 100 Mbps WAN ȯ°æ¿¡¼­´Â Æò±Õ 5.2% °¢°¢ Áõ°¡ÇÑ´Ù. º» ³í¹®¿¡¼­ Á¦¾ÈÇÑ °³¼± ¹æ¹ýÀ» WANProxy¿¡ Àû¿ëÇÑ °æ¿ì´Â ±âÁ¸ÀÇ WANProxy¿Í ºñ±³ÇÒ ¶§ ¾ÐÃà·üÀÌ Æò±Õ 34.8% Áõ°¡ÇÏ°í ³×Æ®¿öÅ© ´ë±â½Ã°£ÀÌ 10 Mbps WAN ȯ°æ¿¡¼­´Â Æò±Õ 13.8%, 100 Mbps WAN ȯ°æ¿¡¼­´Â Æò±Õ 12.9% °¢°¢ °¨¼ÒÇÑ´Ù. ¼º´É ºÐ¼® °á°ú¿¡ ÀÇÇϸé, WAN ´ë¿ªÆøÀÌ 10 Mbps ÀÌÇÏÀΠȯ°æ¿¡¼­ WANProxy¸¦ Àû¿ëÇÒ °æ¿ì ³×Æ®¿öÅ© ´ë±â½Ã°£°ú WAN ´ë¿ªÆø °üÁ¡¿¡¼­ ¼º´É °³¼± È¿°ú°¡ ¾ÆÁÖ ¿ì¼öÇÏ°í WAN ´ë¿ªÆøÀÌ 100 Mbps ȯ°æ¿¡¼­µµ ¿ì¼öÇÏ´Ù.
¿µ¹®³»¿ë
(English Abstract)
In the current trend of increasing network traffic due to the popularization of cloud service and mobile devices, WAN bandwidth is very low compared to LAN bandwidth. In a WAN environment, a WAN optimizer is needed to overcome performance problems caused by transmission protocol, packet loss, and network bandwidth limitations. In this paper, we analyze the data deduplication algorithm of WANProxy, an open source WAN optimizer, and evaluate its performance in terms of network latency and WAN bandwidth. Also, we evaluate the performance of the two-stage compression method of WANProxy and Zstandard. We propose a new method to improve the performance of WANProxy by revising its data deduplication algorithm and evaluate its performance improvement. We perform experiments using 12 data files of Silesia with a data segment size of 2048 bytes. Experimental results show that the average compression rate by WANProxy is 150.6, and the average network latency reduction rates by WANProxy are 95.2% for a 10 Mbps WAN environment and 60.7% for a 100 Mbps WAN environment, respectively. Compared with WANProxy, the two-stage compression of WANProxy and Zstandard increases the average compression rate by 33%. However, it increases the average network latency by 2.1% for a 10 Mbps WAN environment and 5.27% for a 100 Mbps WAN environment, respectively. Compared with WANProxy, our proposed method increases the average compression rate by 34.8% and reduces the average network latency by 13.8% for a 10 Mbps WAN and 12.9% for a 100 Mbps WAN, respectively. Performance analysis results of WANProxy show that its performance improvement in terms of network latency and WAN bandwidth is excellent in a 10Mbps or less WAN environment while superior in a 100 Mbps WAN environmen
Å°¿öµå(Keyword) WAN Optimizer   WANProxy   Zstandard   Data Deduplication/Compression   WAN ÃÖÀûÈ­±â   µ¥ÀÌÅÍ Áߺ¹Á¦°Å/¾ÐÃà   WANProxy   Zstandard  
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