Á¤º¸°úÇÐȸ ÄÄÇ»ÆÃÀÇ ½ÇÁ¦ ³í¹®Áö (KIISE Transactions on Computing Practices)
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
°í¼º´É ÄÄÇ»Æà ½Ã½ºÅÛ¿¡¼ÀÇ RocksDB º´·Ä¼º Áõ´ë¸¦ À§ÇÑ ÃÖÀûÀÇ ÀÚ¿ø ÇÒ´ç ±â¹ý |
¿µ¹®Á¦¸ñ(English Title) |
An Optimal Resource Allocation Scheme for Increasing RocksDB Parallelism on High-Performance Computing Systems |
ÀúÀÚ(Author) |
±èÈÁ¤
¿°Ç念
¼Õ¿ë¼®
Hwajung Kim
Heon Young Yeom
Yongseok Son
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¿ø¹®¼ö·Ïó(Citation) |
VOL 26 NO. 03 PP. 0144 ~ 0149 (2020. 03) |
Çѱ۳»¿ë (Korean Abstract) |
°í¼º´É ÄÄÇ»Æà ½Ã½ºÅÛÀº ³ô¾ÆÁø ÄÄÇ»Æà ÆÄ¿ö¿Í °í¼º´É ÀúÀåÀåÀåÄ¡ÀÇ ÃâÇöÀ¸·Î Á¡Á¡ ³Î¸® »ç¿ëµÇ°í ÀÖ´Â Ãß¼¼ÀÌ´Ù. °í¼º´É ÄÄÇ»Æà ½Ã½ºÅÛ¿¡¼ µ¿ÀÛÇÏ´Â ÀÀ¿ëÀÇ ¼º´ÉÀº ½Ã½ºÅÛÀÇ °¡¿ë ÀÚ¿øÀ» ¾î¶»°Ô ÇÒ´çÇÏ¿© »ç¿ëÇÏ´À³Ä¿¡ µû¶ó Á¿ìµÈ´Ù. ´ëÇ¥ÀûÀÎ ¼Ò¼È ³×Æ®¿öÅ© ¼ºñ½º ¿î¿µ ±â¾÷ÀÎ ÆäÀ̽ººÏ¿¡¼´Â ÀÚ»çÀÇ µ¥ÀÌÅÍ ÀúÀå ¹× °ü¸®¸¦ À§ÇØ °í¼º´É ÀúÀåÀåÄ¡¿¡ ÃÖÀûÈ µÈ RocksDB¶ó´Â Å°-¹ë·ù ½ºÅä¾î¸¦ »ç¿ëÇÏ°í ÀÖ´Ù. RocksDB¿¡¼´Â °ü¸®ÀÚ°¡ ½Ã½ºÅÛÀÇ °¡¿ëÇÑ ÀÚ¿øÀ» ÃÖÀûÀ¸·Î ÇÒ´çÇÒ ¼ö ÀÖµµ·Ï ´Ù¾çÇÑ ¼³Á¤À» Á¦°øÇÑ´Ù. º» ³í¹®¿¡¼´Â °í¼º´É ÄÄÇ»Æà ½Ã½ºÅÛÀÇ °¡¿ë ÀÚ¿øÀ» ÇÒ´çÇÏ´Â ¹æ¹ýÀÌ RocksDBÀÇ ¼º´É¿¡ ¹ÌÄ¡´Â ¿µÇâÀ» ºÐ¼®ÇÑ´Ù. À̸¦ ±â¹ÝÀ¸·Î RocksDBÀÇ º´·Ä¼ºÀ» ³ô¿© ¼º´ÉÀ» Çâ»ó½Ãų ¼ö ÀÖ´Â ÃÖÀûÀÇ ÀÚ¿ø ÇÒ´ç ±â¹ýÀ» Á¦¾ÈÇÑ´Ù.
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¿µ¹®³»¿ë (English Abstract) |
High-performance computing systems are becoming more widely used because of the increased computing power and the emergence of high-performance storage devices. The performance of applications operating on the high-performance computing systems depends on how the systems¡¯ available resources are allocated and applied. Facebook, a leading social network service company, uses a key-value store called RocksDB, optimized for high-performance storage devices for data storage and management. RocksDB provides a variety of configurations that allow administrators to optimally allocate available resources on their systems. In this paper, we analyzed the impact of the allocation methods of available resources of the high-performance computing systems on the performance of RocksDB. Based on this, we propose an optimal resource allocation technique that can improve the performance by increasing the parallelism of RocksDB.
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Å°¿öµå(Keyword) |
°í¼º´É ÄÄÇ»ÆÃ
ÀÚ¿ø ÇÒ´ç
Å°¹ë·ù ½ºÅä¾î
ÃÖÀû ȯ°æ ¼³Á¤
high-performance computing
resource allocation
key-value stores
optimal configurations
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