Á¤º¸°úÇÐȸ ÄÄÇ»ÆÃÀÇ ½ÇÁ¦ ³í¹®Áö (KIISE Transactions on Computing Practices)
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
´ë¿ë·® õ¹® °üÃø ÀÚ·á󸮸¦ À§ÇÑ Å¬¶ó¿ìµå ±â¹Ý ÀÚµ¿È ½Ã½ºÅÛ |
¿µ¹®Á¦¸ñ(English Title) |
Cloud-Based Automation System to Process Data from Astronomy Observation |
ÀúÀÚ(Author) |
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Jae-Keun Yeom
Jung-Lok Yu
Hong-Suh Yim
Myung-Jin Kim
Jintae Park
Hee-Jae Lee
Hong-Kyu Moon
Young-Jun Choi
Dong-Goo Roh
Young-Seok Oh
Young-Ho Bae
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¿ø¹®¼ö·Ïó(Citation) |
VOL 23 NO. 01 PP. 0045 ~ 0056 (2017. 01) |
Çѱ۳»¿ë (Korean Abstract) |
õ¹®ÇÐ ºÐ¾ß¿¡¼ ±¤½Ã¾ß¸Á¿ø°æÀ» ÅëÇØ °üÃøµÈ ÀÚ·áµéÀÇ ¾çÀº ±âÇϱ޼öÀûÀ¸·Î ´Ã¾î³ª°í ÀÖ´Ù. ±×·¯³ª °íÁ¤µÈ ¼Ò±Ô¸ðÀÇ ÄÄÇ»Æà ȯ°æ°ú ÀÚ·á ºÐ¼® µµ±¸µéÀÇ º¹À⼺Àº ´ë¿ë·® °üÃø ÀÚ·áµéÀ» È¿À²ÀûÀ¸·Î ó¸®Çϴµ¥ ¾î·Á¿òÀ» ¾ß±âÇÑ´Ù. º» ³í¹®¿¡¼´Â ÀÌ·¯ÇÑ ¹®Á¦Á¡À» ÇØ°áÇϱâ À§ÇØ, ´ë¿ë·® õ¹® °üÃø ÀÚ·á󸮸¦ À§ÇÑ Å¬¶ó¿ìµå ±â¹ÝÀÇ ÀÚµ¿È ½Ã½ºÅÛÀ» Á¦¾ÈÇÑ´Ù. º» ³í¹®¿¡¼ Á¦¾ÈÇÑ ½Ã½ºÅÛÀº °üÃø ÀÚ·á ºÐ¼®¿¡ ÇÊ¿äÇÑ ¿öÅ©Ç÷οì ÅÛÇø´ÀÇ °ü¸® ¹× ½ÇÇà Á¦¾î¸¦ À§ÇÑ ¿öÅ©ÇÃ·Î¿ì ½ÇÇà °ü¸®ÀÚ(Workflow Execution Manager) ¿Í °üÃø ÀÚ·á ºÐ¼® ¿äû·®¿¡ µû¶ó µ¿ÀûÀ¸·Î °è»ê ÀÚ¿øÀÇ ÇÒ´ç/¹Ý³³ÀÌ °¡´ÉÇÑ Åº·ÂÀû ÀÚ¿ø°ü¸®ÀÚ(Elastic Resource Manager)·Î ±¸¼ºµÈ´Ù. ¶ÇÇÑ µ¿Àû ÀÚ¿ø ÇÒ´ç ÃßÀÌ, ½Ã½ºÅÛ ºÎÇÏ µîÀÇ ´Ù¾çÇÑ ½ÇÇè ¹× °á°ú ºÐ¼®À» ÅëÇØ Á¦¾ÈÇÑ ½Ã½ºÅÛÀÇ À¯È¿¼ºÀ» °ËÁõÇÏ°í, DEEP-SOUTH ½ºÄÉÁ층 ½Ã½ºÅÛ¿¡ÀÇ Àû¿ë»ç·Ê¸¦ ±â¼úÇÑ´Ù.
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¿µ¹®³»¿ë (English Abstract) |
In astronomy, the amount of data generated using wide-field optical telescope has increased exponentially. However, the fixed-size small-scale computing environment and the complexity of data analysis tools, results in difficulties to process the massive observation data collected. To resolve this problem, we propose a cloud-based automation system for the efficient processing of the enormous data gathered. The proposed system consists of a Workflow Execution Manager which manages various workflow templates and controls the execution of workflows instantiated from theses templates, and an Elastic Resource Manager that dynamically adds/deletes computing resources, according to the amount of data analysis requests. To show the effectiveness of our proposed system, we exhaustively explored a board spectrum of experiments, like elastic resources allocation, system load, etc. Finally, we describe the best practice case of DEEP-SOUTH scheduling system as an example application.
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Å°¿öµå(Keyword) |
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¿öÅ©Ç÷οì
OpenAPI
astronomy
cloud
dynamic allocation
distributed processing
workflow
OpenAPI
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