Á¤º¸°úÇÐȸ ÄÄÇ»ÆÃÀÇ ½ÇÁ¦ ³í¹®Áö (KIISE Transactions on Computing Practices)
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
¿¡³ÊÁö ºòµ¥ÀÌÅ͸¦ ¼ö¿ëÇÏ´Â ºòµ¥ÀÌÅÍ ½Ã½ºÅÛ °³¹ß |
¿µ¹®Á¦¸ñ(English Title) |
Development of Big Data System for Energy Big Data |
ÀúÀÚ(Author) |
¼Û¹Î±¸
Mingoo Song
|
¿ø¹®¼ö·Ïó(Citation) |
VOL 24 NO. 01 PP. 0024 ~ 0032 (2018. 01) |
Çѱ۳»¿ë (Korean Abstract) |
º» ³í¹®Àº »ê¾÷ ÇöÀå°ú ¹Î°£¿¡¼ ½Ç½Ã°£À¸·Î ¼öÁýµÇ´Â ¿¡³ÊÁö ºòµ¥ÀÌÅ͸¦ ¼ö¿ëÇÏ´Â ºòµ¥ÀÌÅÍ ½Ã½ºÅÛÀ» Á¦¾ÈÇÑ´Ù. ±¸ÃàµÈ ºòµ¥ÀÌÅÍ ½Ã½ºÅÛÀº ÇϵÓ(Hadoop)[1] ±â¹ÝÀ̸ç, ºòµ¥ÀÌÅÍ Ã³¸®¿¡ ÀÖ¾î Àθ޸𸮠(in-memory) ºÐ»êó¸® ÄÄÇ»ÆÃÀ» Áö¿øÇÏ´Â ½ºÆÄÅ©(Spark)[2] ÇÁ·¹ÀÓ¿öÅ©°¡ µ¿½Ã¿¡ Àû¿ëµÇ¾ú´Ù. º»¹®¿¡¼´Â Áö¿ª³¹æ¿¡ »ç¿ëµÇ´Â ¿¿¡³ÊÁö ÇüÅÂÀÇ ºòµ¥ÀÌÅÍ¿¡ ÃÊÁ¡À» µÎ¾î, ÀÔÃâ·ÂµÇ´Â ¿¡³ÊÁöÀÇ Æ¯¼ºÀ» °í·ÁÇÏ¸ç ½Ç½Ã°£ ¼öÁýµÇ´Â ºòµ¥ÀÌÅ͸¦ ÀûÀç, °ü¸®, ó¸® ¹× ºÐ¼®ÇÏ´Â ¹æ¹ýÀ» ´Ù·é´Ù. ÀÌ ¶§, ¿ÜºÎ¿¡¼ À¯ÀԵǴ ºòµ¥ÀÌÅÍ´Â ½Ã½ºÅÛ ³»ºÎ¿¡ ¼³°èµÈ °ü°èÇü µ¥ÀÌÅͺ£À̽º ½ºÅ°¸¶¿¡ µû¶ó ÀúÀåÇÏ°í °ü¸®µÇ¸ç, ÀúÀåµÈ ºòµ¥ÀÌÅÍ´Â ¼³Á¤µÈ ¸ñÀû¿¡ µû¶ó ó¸®ÇÏ°í ºÐ¼®µÈ´Ù. Á¦¾ÈµÈ ºòµ¥ÀÌÅÍ ½Ã½ºÅÛ°ú ´õºÒ¾î Áö¿ª³¹æ°ú °ü·ÃÇÑ º¹¼öÀÇ ½ÇÁõ ÇöÀåÀ¸·ÎºÎÅÍ ½Ç½Ã°£À¸·Î ¼öÁýµÇ´Â ¿¿¡³ÊÁö ºòµ¥ÀÌÅÍ¿¡ ´ëÇØ ½Ã½ºÅÛÀÌ È°¿ëµÈ »ç·Ê¸¦ ±â¼úÇÑ´Ù.
|
¿µ¹®³»¿ë (English Abstract) |
This paper proposes a Big Data system for energy Big Data which is aggregated in real-time from industrial and public sources. The constructed Big Data system is based on Hadoop[1] and the Spark framework[2] is simultaneously applied on Big Data processing, which supports in-memory distributed computing. In the paper, we focus on Big Data, in the form of heat energy for district heating, and deal with methodologies for storing, managing, processing and analyzing aggregated Big Data in real-time while considering properties of energy input and output. At present, the Big Data influx is stored and managed in accordance with the designed relational database schema inside the system and the stored Big Data is processed and analyzed as to set objectives. The paper exemplifies a number of heat demand plants, concerned with district heating, as industrial sources of heat energy Big Data gathered in real-time as well as the proposed system.
|
Å°¿öµå(Keyword) |
ºòµ¥ÀÌÅÍ
ºòµ¥ÀÌÅÍ ½Ã½ºÅÛ
¿¡³ÊÁö
Áö¿ª³¹æ
½ºÆÄÅ©
ÇϵÓ
Big Data
Big Data system
energy
district heating
Spark
Hadoop
|
ÆÄÀÏ÷ºÎ |
PDF ´Ù¿î·Îµå
|