Linuxã€ã‚¯ãƒ©ã‚¹ã‚¿ã€1Uサーãƒã®ã‚¯ãƒ©ã‚¹ã‚¿ãƒ¼ã‚³ãƒ³ãƒ”ューティング(æ ª) - 1プラッタHDDã®èªã¿æ›¸ã性能測定
※ã“れ以é™ã€ST3320613ASã‚’320GB HDDã€ST3250410ASã‚’250GB HDDã€ST380815ASã‚’80GB HDDã¨è¡¨è¨˜ã—ã¾ã™ã€‚ (å‚考) Seagateã®åž‹ç•ªã¯ã€ç•ªå·è‡ªèº«ãŒãã®HDDã®æƒ…å ±ã‚’è¡¨ã—ã¦ã„ã¾ã™ã€‚ 以下ãŒãã®è¦‹æ–¹ã§ã™ã€‚ ã‚ャッシュ容é‡ã®æ•°å—ã¯ã€6=>16MBã€8=>8MBã€2=>2MBã¨ãªã£ã¦ã„ã¾ã™ã€‚ ã¾ãŸã‚¤ãƒ³ã‚¿ãƒ¼ãƒ•ã‚§ã‚¤ã‚¹ã®è¨˜å·ã«ã¤ã„ã¦ã¯ã€AS=SATAã€NS=ES-SATAã€A=Ultra-ATAã¨ãªã£ã¦ã„ã¾ã™ã€‚ ãれ以外ã¯æ•°å—ãã®ã¾ã¾ã«ãªã£ã¦ã„ã¾ã™ã€‚ (å‚考) AKIBA PC Hotline! Junk Blog.: 店é ã§è¦‹ã‚‹ã€ŒHDD型番ã®èªã¿æ–¹ã€ Seagate: モデルナンãƒãƒ¼ã®è§£é‡ˆã®ä»•æ–¹(英語)  計測方法 (1) 計測ã™ã‚‹HDDを装ç€ã—ã€PXEブートã§èµ·å‹•ã—ã¾ã™ã€‚ ã™ã¹ã¦ãƒ¡ãƒ¢ãƒªä¸Šã§å‹•ä½œã™ã‚‹ã®ã§ä»–ã®ãƒ—ãƒã‚°ãƒ©ãƒ ãŒHDDã«ã‚¢ã‚¯ã‚»ã‚¹ã—ãªã„よã†ã«ãª
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ã€åˆç´šã€‘知ã£ã¦ãŠããŸã„ストレージã®åŸºç¤Žã€€ç¬¬2回　HDDã®å†…éƒ¨æ§‹é€ ã¨ã‚¹ãƒšãƒƒã‚¯ã®èªã¿æ–¹ 容é‡ï¼Œå…¥å‡ºåŠ›æ€§èƒ½ï¼Œä¿¡é ¼æ€§ã§ãƒ‡ã‚£ã‚¹ã‚¯æ§‹æˆã‚’最é©åŒ–ã™ã‚‹ ã“ã“5å¹´é–“ã§å®¹é‡å˜ä¾¡ãŒ10分ã®1～20分ã®1ã«ä¸‹ãŒã£ãŸãƒãƒ¼ãƒ‰ãƒ‡ã‚£ã‚¹ã‚¯ãƒ»ãƒ‰ãƒ©ã‚¤ãƒ–（HDD）ã¯ï¼Œå¾“æ¥ã¨æ¯”ã¹ã¦åˆ©ç”¨ç¯„囲ãŒå¤§ãã広ãŒã£ãŸã€‚ãã®ãŸã‚ï¼Œæ ¼ç´ã™ã‚‹ãƒ‡ãƒ¼ã‚¿ã®ç”¨é€”やライフサイクルã«åˆã‚ã›ã¦ï¼ŒHDDã®å®¹é‡ï¼Œæ€§èƒ½ï¼Œä¿¡é ¼æ€§ï¼Œã‚³ã‚¹ãƒˆã‚’最é©åŒ–ã™ã‚‹ã“ã¨ãŒæ±‚ã‚られã¦ã„る。ã“れらã®ä»•æ§˜ã‚’æ£ã—ãèªã¿è§£ããŸã‚ã«ï¼ŒHDDã®å†…部をã®ãžã„ã¦ã¿ã‚ˆã†ã€‚ ãƒãƒ¼ãƒ‰ãƒ‡ã‚£ã‚¹ã‚¯ãƒ»ãƒ‰ãƒ©ã‚¤ãƒ–（HDD）ã¯ï¼Œç¾åœ¨ï¼Œå¸‚å ´ã§æœ€ã‚‚利用ã•ã‚Œã¦ã„るストレージã®ä»£è¡¨æ ¼ã§ã‚る。最近ã®åŠ‡çš„ãªä½Žä¾¡æ ¼åŒ–ã«ã‚ˆã‚Šï¼ŒHDDã¯ãƒãƒƒã‚¯ã‚¢ãƒƒãƒ—・メディアã¨ã—ã¦ã‚‚利用ã•ã‚Œã‚‹ãªã©ï¼Œãã®ç”¨é€”ã¯å¤šå²ã«ã‚ãŸã£ã¦ã„る。 HDDã¨ã„ã£ã¦ã‚‚様々ãªç¨®é¡žãŒã‚り，入出力性能をé‡è¦–ã—ãŸãƒã‚¤ã‚¨ãƒ³ãƒ‰ãƒ»ãƒ¢ãƒ‡ãƒ«ã‹ã‚‰å¤§å®¹é‡ãƒ»ä½Žä¾¡æ ¼ãƒ¢ãƒ‡ãƒ«ã¾ã§ï¼Œç›®çš„・用途ã«åˆã‚ã›ã¦é¸ã¶ã“ã¨ãŒ
RAID | JetStor: high performance storage solutions. Since 1994.
Understanding RAID levels would be easy if you could simply watch your data being written to the drives. RAID.EDU’s award-winning educational materials do just that, along with listing the pros and cons of every RAID level. Your JetStor system engineer will also make recommendations, which you can use to make the most informed decision about your RAID needs.
Cassandra入門ã¨ã€ã•ã‚‰ã«è©³ã—ã知るãŸã‚ã®ãƒªã‚½ãƒ¼ã‚¹é›†
クラウド時代ã®æ–°ã—ã„データベースã¨ã—ã¦ã€éžãƒªãƒ¬ãƒ¼ã‚·ãƒ§ãƒŠãƒ«ãªæ§‹é€ ã‚’æŒã¤NoSQLデータベースãŒè©±é¡Œã«ãªã£ã¦ã„ã¾ã™ï¼ˆNoSQLï¼Not Only SQL。命åã®çµŒç·¯ã¯ã“ã¡ã‚‰ï¼‰ã€‚ãã®NoSQLã®ä¸ã§ã€ã‚‚ã£ã¨ã‚‚注目ã•ã‚Œã¦ã„るデータベースã®1ã¤ãŒApacheã®Cassandraã§ã™ã€‚ Cassandraã¯ã€Facebookã§å¤§è¦æ¨¡ãƒ‡ãƒ¼ã‚¿å‡¦ç†ã®ãŸã‚ã«é–‹ç™ºã•ã‚Œã€ãã®å¾Œã‚ªãƒ¼ãƒ—ンソースã¨ãªã‚Šã€ç¾åœ¨ã§ã¯Apache Software Foundationã®ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã¨ã—ã¦é–‹ç™ºã•ã‚Œã¦ã„ã¾ã™ã€‚ ç¾åœ¨ã€Cassandraã¯Facebookã‚„Diggãªã©ã§ä½¿ã‚ã‚Œã¦ã„ã‚‹ã€ã‚‚ã—ãã¯ä½¿ã†ã“ã¨ãŒæ¤œè¨Žã•ã‚Œã¦ã„ã‚‹ã¨ã•ã‚Œã€Twitterã§ã‚‚（ツイートデータã®æ ¼ç´ã«ã¯ä½¿ã‚ã‚Œãªã„よã†ã§ã™ãŒã€ãれ以外ã®ç”¨é€”ã§ï¼‰åˆ©ç”¨ã•ã‚Œã¦ã„ã¾ã™ã€‚ Twitterã¨DiggãŒNoSQLã®ã€ŒCassandraã€ã‚’é¸ã¶ç†ç”± TwitterãŒã€Cassandr
Eventual Consistency
Eventual Consistency In the previous chapter, we saw that CouchDB’s flexibility allows us to evolve our data as our applications grow and change. In this chapter, we’ll explore how working “with the grain†of CouchDB promotes simplicity in our applications and helps us naturally build scalable, distributed systems. Working with the Grain A distributed system is a system that operates robustly over
Chapter 2. Eventual Consistency : CouchDB: The Definitive Guide - kawaguti’s diary
CouchDB勉強会ã®ãŸã‚ã«è¨³ã—ã¾ã—ãŸã®ã§ã€å…¬é–‹ã—ã¾ã™ã€‚ 原著者ã«ã“ã‚Œã‹ã‚‰é€£çµ¡ã™ã‚‹ã®ã§ã€ã‚„ã‚ã¦ã€ã¨è¨€ã†è©±ã§ã‚ã‚Œã°å‰Šé™¤ã™ã‚‹ã‹ã‚‚ã—ã‚Œã¾ã›ã‚“。 ※執ç†ä¸ã®æ›¸ç±ç‰ˆã‚’基ã«ã—ã¦ã„ã‚‹ã®ã§Web上ã®ç« ç«‹ã¦ã¨å°‘ã—é•ã†ã‚ˆã†ã§ã™ã€‚ CouchDB: The Definitive Guide http://books.couchdb.org/relax/ Eventual Consistency http://books.couchdb.org/relax/intro/eventual-consistency == Chapter 2. Eventual Consistency == å‰ç« ã§ã¯ CouchDB ã®æŸ”軟性ãŒã€æˆ‘々ã®ã‚¢ãƒ—リケーションã«æ‹¡å¼µã¨å¤‰åŒ–ã‚’å¯èƒ½ã«ã™ã‚‹ã£ã¦ã“ã¨ã‚’ã¿ã¦ããŸã€‚ã“ã®ç« ã§ã¯ã€CouchDBã®åŽŸæ–™ã‹ã‚‰å‹•ä½œã‚’概観ã—ã€æˆ‘々ã®ã‚·ã‚¹ãƒ†ãƒ を自然ã¨ã‚¹ã‚±ãƒ¼ãƒ©ãƒ–ルãªåˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ ã«ã™ã‚‹äº‹ã«å½¹ç«‹ã¤ã€Œã‚·ãƒ³ãƒ—ルã•ã€
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