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ÇѱÛÁ¦¸ñ(Korean Title) |
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¿µ¹®Á¦¸ñ(English Title) |
Real-Time IoT Big-data Processing for Stream Reasoning |
ÀúÀÚ(Author) |
À±Ã¢È£
¹ÚÁ¾¿ø
Á¤Çý¼±
ÀÌ¿ë¿ì
Chang Ho Yun
Jong Won Park
Hae Sun Jung
Yong Woo Lee
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¿ø¹®¼ö·Ïó(Citation) |
VOL 18 NO. 03 PP. 0001 ~ 0009 (2017. 06) |
Çѱ۳»¿ë (Korean Abstract) |
½º¸¶Æ®-½ÃƼ´Â ½º¸¶Æ®-½ÃƼÀÇ »ç¹°ÀÎÅͳÝ(Internet of Things: IoT) µð¹ÙÀ̽º¸¦ ºñ·ÔÇÑ ¼ö¸¹Àº ÀÎÇÁ¶ó¸¦ Áö´ÉÀûÀ¸·Î °ü¸®ÇÏ°í, ´Ù¾çÇÑ ½º¸¶Æ® ¾îÇø®ÄÉÀ̼ÇÀ» µµ½Ã¹Î¿¡°Ô Á¦°øÇÑ´Ù. ½º¸¶Æ®-½ÃƼ¿¡¼´Â ½º¸¶Æ®-½ÃƼ ¾îÇø®ÄÉÀ̼ǿ¡¼ ÇÊ¿äÇÑ ´Ù¾çÇÑ Á¤º¸¸¦ Á¦°øÇϱâ À§ÇÏ¿© ¼ö¸¹Àº »ç¹°ÀÎÅÍ³Ý ±â±âµé·ÎºÎÅÍ ²÷ÀÓ¾øÀÌ ¹ß»ýÇÏ´Â ´ë±Ô¸ðÀÇ ½ºÆ®¸² ºò-µ¥ÀÌÅ͸¦ Áö´ÉÀûÀ¸·Î ó¸®ÇÏ´Â ±â´ÉÀÌ ÇÊ¿äÇÏ´Ù. ÇÏÁö¸¸, ½º¸¶Æ®-½ÃƼ¿¡¼ ´ë±Ô¸ðÀÇ ½ºÆ®¸² ºò-µ¥ÀÌÅ͸¦ ó¸®ÇÏ´Â °Í¿¡´Â ½Ç½Ã°£ ó¸®¿Í °ü·ÃµÈ Á¦¾àµéÀÌ Á¸ÀçÇÑ´Ù. º» ½º¸¶Æ®-½ÃƼ-»ç¾÷´Ü¿¡¼´Â ¼±Çà ¿¬±¸¿¡¼ ½º¸¶Æ®-½ÃƼ¹Ìµé¿þ¾î¿Í À̸¦ ÀÌ¿ëÇÑ ½ºÆ®¸²-¸®Áî´× ¹æ¹ý·Ð ¹× ½Ã½ºÅÛÀ» °³¹ßÇÏ¿´´Ù. ½º¸¶Æ®-½ÃƼ¿¡¼ ½º¸¶Æ® ¼ºñ½º¸¦ Á¦°øÇϱâ À§ÇÏ¿©, ½º¸¶Æ®-½ÃƼ-»ç¾÷´Ü¿¡¼´Â ½ºÆ®¸²-¸®Áî´×À» »ç¿ëÇÏ´Â ¹æ¹ý·ÐÀ» »ç¿ëÇÑ´Ù. ÀÌ ½ºÆ®¸²-¸®Áî´×Àº ´ë¿ë·® µ¥ÀÌÅÍÀÇ ½Ç½Ã°£ 󸮸¦ ÇÊ¿ä·Î ÇÑ´Ù. µû¶ó¼, Èļӿ¬±¸·Î¼ ½º¸¶Æ®-½ÃƼ¹Ìµé¿þ¾îÀÇ Å¬¶ó¿ìµå-ÄÄÇ»Æà Ç÷§ÆûÀ» ÀÌ¿ëÇÏ¿© ½ºÆ®¸²-¸®Áî´×À» À§ÇÑ ½Ç½Ã°£ ºÐ»êº´·Äó¸® Ŭ¶ó¿ìµå-ÄÄÇ»Æà ¹æ¹ý·Ð°ú ½Ã½ºÅÛÀ» °³¹ßÇÏ¿´´Ù. º» ³í¹®¿¡¼´Â ½º¸¶Æ®-½ÃƼ¿¡¼ ¹ß»ýÇÏ´Â »ç¹°ÀÎÅÍ³Ý ºò-µ¥ÀÌÅ͸¦ ½ºÆ®¸²-¸®Áî´×¿¡ »ç¿ëÇϱâ À§ÇÏ¿© ÀÌ Èļӿ¬±¸¿¡¼ °³¹ßµÈ Ŭ¶ó¿ìµå ±â¹Ý ½Ç½Ã°£ ºÐ»êº´·Äó¸® ¿¬±¸°á°ú¸¦ ¼Ò°³ÇÑ´Ù. ½º¸¶Æ®-½ÃƼÀÇ °¢Á¾ ¼¾¼µé·ÎºÎÅÍ Àü¼ÛµÇ¾îÁö´Â »ç¹°ÀÎÅÍ³Ý ºò-µ¥ÀÌÅ͸¦ »ç¿ëÇÏ¿© ½ºÆ®¸²-¸®Áî´×ÇÏ´Â µ¥ ÇÊ¿äÇÑ Å¬¶ó¿ìµå-ÄÄÇ»Æà ±â¹ÝÀÇ ½Ç½Ã°£ ºÐ»êó¸® ¹æ¹ý·Ð°ú ½Ã½ºÅÛÀ» ¼Ò°³ÇÏ°í ÀÖÀ¸¸ç, ÀÌ ¹æ¹ý·ÐÀ» ¼±Ç࿬±¸¿¡¼ °³¹ßÇÑ ½º¸¶Æ®-½ÃƼ ¹Ìµé¿þ¾î¿¡ ±¸ÇöÇÏ¿© ½Ç½Ã°£ ºÐ»êó¸® ¼º´ÉÀ» Æò°¡ÇÑ °ÍÀ» ¼Ò°³ÇÑ´Ù.
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¿µ¹®³»¿ë (English Abstract) |
Smart Cities intelligently manage numerous infrastructures, including Smart-City IoT devices, and provide a variety of smart-city applications to citizen. In order to provide various information needed for smart-city applications, Smart Cities require a function to intelligently process large-scale streamed big data that are constantly generated from a large number of IoT devices. To provide smart services in Smart-City, the Smart-City Consortium uses stream reasoning. Our stream reasoning requires real-time processing of big data. However, there are limitations associated with real-time processing of large-scale streamed big data in Smart Cities. In this paper, we introduce one of our researches on cloud computing based real-time distributed-parallel-processing to be used in stream-reasoning of IoT big data in Smart Cities. The Smart-City Consortium introduced its previously developed smart-city middleware. In the research for this paper, we made cloud computing based real-time distributed-parallel-processing available in the cloud computing platform of the smart-city middleware developed in the previous research, so that we can perform real-time distributed-parallel-processing with them. This paper introduces a real-time distributed-parallel-processing method and system for stream reasoning with IoT big data transmitted from various sensors of Smart Cities and evaluate the performance of real-time distributed-parallel-processing of the system where the method is implemented.
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Å°¿öµå(Keyword) |
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Smart-city
Middleware
Stream reasoning
Real-time processing
cloud computing
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