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ÇѱÛÁ¦¸ñ(Korean Title) |
¼¹ö Ŭ·¯½ºÅÍ È¯°æ¿¡¼ ¿¡³ÊÁö Àý¾àÀ» À§ÇÑ Çâ»óµÈ ¼¹ö Àü·Â ¼Òºñ ÃßÁ¤ ¸ðµ¨ |
¿µ¹®Á¦¸ñ(English Title) |
An Improved Estimation Model of Server Power Consumption for Saving Energy in a Server Cluster Environment |
ÀúÀÚ(Author) |
±èµ¿ÁØ
°ûÈıÙ
±ÇÈñ¿õ
±è¿µÁ¾
Á¤±Ô½Ä
Dongjun Kim
Hukeun Kwak
Huiung Kwon
Youngjong Kim
Kyusik Chung
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¿ø¹®¼ö·Ïó(Citation) |
VOL 19-A NO. 03 PP. 0139 ~ 0146 (2012. 06) |
Çѱ۳»¿ë (Korean Abstract) |
¼¹ö Ŭ·¯½ºÅÍ È¯°æ¿¡¼ ¿¡³ÊÁö Àý¾àÀ» À§ÇÑ ¹æ¹ý Áß Çϳª´Â ¼¹öÀÇ Àü¿øÀ» Æ®·¡ÇÈ »óȲ¿¡ ¸Â°Ô Á¦¾îÇÏ´Â Àü¿ø Á¦¾î ±â¼úÀÌ´Ù. ÀÌ´Â ÇöÀç µ¥ÀÌÅÍ ¼¾ÅÍÀÇ Àüü ¿¡³ÊÁö »ç¿ë·®°ú °¢ ¼¹öÀÇ ¿¡³ÊÁö »ç¿ë·®À» ÆľÇÇÏ¿© ÀûÀýÇÏ°Ô ON/OFF »óÅ·Π°ü¸®ÇÏ´Â ±â¼úÀÌ´Ù. À̸¦ À§Çؼ °¢ ¼¹öÀÇ Àü·ÂÀ» È¿°úÀûÀ¸·Î ÃßÁ¤ÇÏ´Â ¹æ½ÄÀÌ ÇÊ¿äÇѵ¥, º» ³í¹®¿¡¼´Â ºñ¿ë ¸é°ú ¿¡³ÊÁö ¸é¿¡¼ È¿À²ÀûÀÎ ¼ÒÇÁÆ®¿þ¾î ¹æ½ÄÀÇ ÃßÁ¤ ¸ðµ¨À» »ç¿ëÇÏ¿© Àü·ÂÀ» ÃßÁ¤ÇÑ´Ù. ¶ÇÇÑ ±âÁ¸ÀÇ Àü·Â ÃßÁ¤ ¸ðµ¨Àº CPUÀÇ À¯ÈÞ(idle) »ç¿ë·®¸¸À» »ç¿ëÇÔÀ¸·Î½á ÇöÀç ¼¹öÀÇ ¼¼ºÎÀûÀÎ CPU »óųª I/O ÀåÄ¡ÀÇ »ç¿ë·®À» Á¤È®È÷ ÆľÇÇÏÁö ¸øÇÏ°í, ÀÌ´Â ÇØ´ç ¼¹öÀÇ Àü·ÂÀ» È¿°úÀûÀ¸·Î ÃßÁ¤ÇÏÁö ¸øÇÏ´Â ´ÜÁ¡À¸·Î À̾îÁø´Ù. º» ³í¹®¿¡¼´Â CPUÀÇ ´Ù¾çÇÑ »óÅ Çʵ带 È°¿ëÇÏ¿© ¼¹öÀÇ CPU ¹× ½Ã½ºÅÛÀÇ Àü¹ÝÀûÀÎ »óŸ¦ º¸´Ù Á¤È®È÷ ÆľÇÇÏ°í, ÀÌ¿¡ µû¶ó ¼¹öÀÇ Àü·ÂÀ» ±âÁ¸ÀÇ µÎ ¼ÒºñÀü·Â ÃßÁ¤ ¸ðµ¨(CPU/µð½ºÅ©/¸Þ¸ð¸® ±â¹ÝÀÇ Àü·Â ¼Òºñ ÃßÁ¤ ¸ðµ¨ ¹× CPU À¯ÈÞ°ª ±â¹ÝÀÇ Àü·Â ¼Òºñ ÃßÁ¤ ¸ðµ¨)º¸´Ù Á¤È®È÷ ÃøÁ¤ÇÏ´Â CPU Çʵå(field) ±â¹ÝÀÇ Àü·Â ÃßÁ¤ ¸ðµ¨À» Á¦¾ÈÇÑ´Ù. 2´ëÀÇ ¼¹ö¸¦ »ç¿ëÇÏ¿© ½ÇÇèÀ» ¼öÇàÇÏ¿´À¸¸ç, Àü·Â°è¸¦ ÅëÇØ ÃøÁ¤ÇÑ ½ÇÁ¦ Àü·Â°ú °¢ ÃßÁ¤ ¸ðµ¨ÀÇ ÃßÁ¤ °ªÀ» ºñ±³ÇÏ¿© Æò±Õ ¿ÀÂ÷À²À» °è»êÇÏ¿´´Ù. ½ÇÇè °á°ú ±âÁ¸ ¼ÒºñÀü·Â ÃßÁ¤ ¸ðµ¨ÀÌ Æò±Õ 8-15%´ëÀÇ ¿ÀÂ÷À²À» º¸ÀÌ´Â ¹Ý¸é, º» ³í¹®¿¡¼ Á¦¾ÈÇÏ´Â ¼¹ö Àü·Â ÃßÁ¤ ¸ðµ¨Àº 2%´ëÀÇ ¿ÀÂ÷À²À» º¸¿© ÁÖ¾ú´Ù.
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¿µ¹®³»¿ë (English Abstract) |
In the server cluster environment, one of the ways saving energy is to control server's power according to traffic conditions. This is to determine the ON/OFF state of servers according to energy usage of data center and each server. To do this, we need a way to estimate each server's energy. In this paper, we use a software-based power consumption estimation model because it is more efficient than the hardware model using power meter in terms of energy and cost. The traditional software-based power consumption estimation model has a drawback in that it doesn't know well the computing status of servers because it uses only the idle status field of CPU. Therefore it doesn't estimate consumption power effectively. In this paper, we present a CPU field based power consumption estimation model to estimate more accurate than the two traditional models (CPU/Disk/Memory utilization based power consumption estimation model and CPU idle utilization based power consumption estimation model) by using the various status fields of CPU to get the CPU status of servers and the overall status of system. We performed experiments using 2 PCs and compared the power consumption estimated by the power consumption model (software) with that measured by the power meter (hardware). The experimental results show that the traditional model has about 8-15% average error rate but our proposed model has about 2% average error rate.
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Å°¿öµå(Keyword) |
¼¹ö Ŭ·¯½ºÅÍ
¿¡³ÊÁö Àý°¨
¼¹ö ON/OFF
Àü·Â ÃßÁ¤ ¸ðµ¨
CPU Çʵå
Server Cluster
Saving Energy
Server On/Off
Power Estimation Model
CPU Fields
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