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ISUCONã§Nginxã¨MySQLã‚’Docker化ã—ãŸã¨ãã®ãƒ‘フォーマンス - ゆã†ã†ãブãƒã‚°
ç¾å®Ÿçš„ãªWebサービス環境ã«ãŠã„ã¦ã€Docker化ã«ã‚ˆã‚‹ãƒ‘フォーマンス低下ãŒã©ã®ç¨‹åº¦ã®ã‚‚ã®ã‹èª¿æŸ»ã™ã‚‹ãŸã‚ã«ã€ ISUCON4 ã®äºˆé¸å•é¡Œã®ã†ã¡ã€Nginx 㨠MySQL 部分を Docker 化ã—ã¦ãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯ã‚’ã¨ã£ã¦ã¿ãŸã€‚ 典型的ãªWebサービスシステムã®3å±¤æ§‹é€ ï¼ˆProxy, App, DB）を構築ã—ã€ãƒ™ãƒ³ãƒãƒžãƒ¼ã‚«ãƒ¼ã«ã‚ˆã‚Šé«˜ãƒ¯ãƒ¼ã‚¯ãƒãƒ¼ãƒ‰ã‚’実ç¾ã§ãã‚‹ã®ã§ã€ISUCON ã®äºˆé¸å•é¡Œã¯é©å½“ãªé¡Œæã¨ã„ãˆã‚‹ã€‚ Docker ã®ãƒ‘フォーマンスã«ã¤ã„ã¦ç•™æ„ã™ã‚‹ã“ã¨ã¯å…ˆæ—¥æ›¸ã„ãŸã‚¨ãƒ³ãƒˆãƒªã«å…¨ã¦æ›¸ã„ã¦ã‚‹ã€‚ 上記ã®ã‚¨ãƒ³ãƒˆãƒªã‚’è¦ç´„ã™ã‚‹ã¨ã€Docker ã®ãƒ‘フォーマンスã«ã¤ã„ã¦é‡è¦ãªã“ã¨ã¨ã¯ storage-driver ã®é¸æŠž (AUFS or Device mapper or ...) Volume ã® ON / OFF AUFS ãªã©ã®å·®åˆ†ãƒ•ã‚¡ã‚¤ãƒ«ã‚·ã‚¹ãƒ†ãƒ ã‚’ãƒã‚¤ãƒ‘スã™ã‚‹ã‹ã—ãªã„ã‹ Host networ
Oracle Database In-Memoryã¯æœ¬å½“ã«æ¿€é€Ÿãªã®ã‹ï¼ˆå¾Œç·¨ï¼‰
EnterpriseZine（エンタープライズジン）編集部ã§ã¯ã€æƒ…å ±ã‚·ã‚¹ãƒ†ãƒ æ‹…å½“ã€ã‚»ã‚ュリティ担当ã®æ–¹ã€…å‘ã‘ã«ã€EnterpriseZine Dayã€Security Online Dayã€DataTechã¨ã„ã†ã€3ã¤ã®ã‚¤ãƒ™ãƒ³ãƒˆã‚’開催ã—ã¦ãŠã‚Šã¾ã™ã€‚ãã‚Œãžã‚Œç·¨é›†éƒ¨ç‹¬è‡ªã®åˆ‡ã‚Šå£ã§ã€æ¥ç•Œãƒˆãƒ¬ãƒ³ãƒ‰ã‚„最新事例を網羅。最新ã®å‹•å‘を知るã“ã¨ãŒã§ãã‚‹å ´ã¨ã—ã¦ã€å¥½è©•ã‚’å¾—ã¦ã„ã¾ã™ã€‚
デシリアライズ速度ã®æ¯”較 ByteBuffer vs DirectBuffer vs Unsafe vs C - Blog by Sadayuki Furuhashi
OpenJDK ã‚„ Hotspot VM ã«ã¯ sun.misc.Unsafe ã¨ã„ã†å†…部APIãŒã‚ã‚Š*1ã€ã“れを使ã†ã¨ ByteBuffer.getInt ã‚„ ByteBuffer.getLong よりも高速ã«ãƒã‚¤ãƒˆåˆ—ã‹ã‚‰æ•´æ•°å€¤ã‚’デコードã§ãã‚‹ã¨ã„ã†ã€‚ã“れを駆使ã™ã‚‹ã“ã¨ã§ã€Cã§å®Ÿè£…ã•ã‚ŒãŸæ‹¡å¼µãƒ©ã‚¤ãƒ–ラリã«åŒ¹æ•µã™ã‚‹é€Ÿåº¦ã‚’出ã›ã‚‹ã‚‰ã—ã„。 ãã‚ŒãŒæœ¬å½“ãªã‚‰ã€ãƒ‡ãƒ¼ã‚¿åœ§ç¸®ã‚„ãƒãƒƒã‚·ãƒ¥é–¢æ•°ã€ã‚·ãƒªã‚¢ãƒ©ã‚¤ã‚¶/デシリアライザãªã©ã®å®Ÿè£…を高速化ã§ãる。例ãˆã°ã€lz4 ã‚„ xxhash ã®Java実装㌠Unsafe API を使用ã—ã¦ã„ã‚‹*2：jpountz/lz4-java Prestoã‚‚ã€ä¸é–“データã®ã‚·ãƒªã‚¢ãƒ©ã‚¤ã‚º/デシリアライズã«ã¯ã™ã¹ã¦ Unsafe API を使ã£ã¦ã„ã‚‹*3。 ãã“ã§ã€å®Ÿéš›ã«ãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯ã—ã¦ã¿ãŸã€‚ ベンãƒãƒžãƒ¼ã‚¯å†…容 10MBã®ãƒ©ãƒ³ãƒ€ãƒ ãªãƒã‚¤ãƒˆåˆ—を生æˆã™ã‚‹ å…ˆé ã‹ã‚‰1ãƒã‚¤ãƒˆèªã¿å‡ºã™ ãã®1ãƒ
DMM inside
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G-WANã¯ãªãœé€Ÿã„ã®ã‹ï¼Ÿã‚’nginxã¨æ¯”ã¹ãªãŒã‚‰æ¤œè¨¼ã—ã¦ã¿ãŸ - blog.nomadscafe.jp
ツãƒãƒŽã‚³ãƒ–ãƒã‚°ã®WEBサーãƒãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯ãƒ„ール比較ã®è¨˜äº‹ã§ç´¹ä»‹ã•ã‚Œã¦ã„ãŸã€‚Webサーãƒã®G-WAN。ã“ã®è¨˜äº‹ã«ã‚ˆã‚‹ã¨å‡„ã速ã„よã†ã§ã™ã€‚ Intel Xeon E5-2640 (6コア/12スレッド 2.50GHz) ã‚’2ã¤ã¨ã„ã†ã‚µãƒ¼ãƒã§ gwan　 334944 req/s nginx　111842 req/s ã¨ã€é€Ÿã„ã¨è¨€ã‚ã‚Œã¦ã„ã‚‹nginxã®3å€ã®é€Ÿåº¦ã‚’出ã—ã¦ã„ã¾ã™ã€‚ ã“ã®ãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯çµæžœãŒã¨ã¦ã‚‚æ°—ã«ãªã£ãŸã®ã§ã€ãªãœG-WANãŒé€Ÿã„ã®ã‹ã€è‡ªåˆ†ã§ã‚‚検証ã—ã¦ã¿ã¾ã—ãŸã€‚ çµè«–ã‹ã‚‰è¨€ã†ã¨ä»¥ä¸‹ã®2ã¤ã€‚ 1) G-WANã¯ãƒ‡ãƒ•ã‚©ãƒ«ãƒˆã§ç‰©ç†CPUã«åˆã‚ã›ãŸæ•°ã®ã‚¹ãƒ¬ãƒƒãƒ‰ã‚’èµ·å‹•ã™ã‚‹ 2) HTMLファイルも一度èªã¿è¾¼ã‚“ã§ã‚ャッシュã™ã‚‹ ã¨ã„ã†äº‹ã§ã™ã€‚ 今回ã¯AWSã®cc2.8xlarge(E5-2670 8コア/16スレッド 2.60GHz *2)を使ã£ã¦ãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯ã‚’è¡Œã„ã¾ã—ãŸã€‚OSã¯Amazon L
Apacheã¨Nginxã®æ€§èƒ½æ¯”較ã§event_mpmã®æœ¬æ°—を見ãŸ
ã¯ã„ã€ã“ã‚Œã¯åƒ•ãŒã„ã¤ã‚‚良ã見るApacheã¨Nginxã®æ€§èƒ½å·®ã«è¦‹ãˆã¾ã™ã€‚大体ã€Apacheã¯Nginxã®75%程度ã®æ€§èƒ½ã«è½ã¡ç€ãã¾ã™ã€‚æ•°åãƒã‚¤ãƒˆã®é™çš„コンテンツã«å¯¾ã™ã‚‹ãƒªã‚¯ã‚¨ã‚¹ãƒˆå‡¦ç†ã¯Nginxã®å¾—æ„分野ã ã¨æ€ã£ã¦ã„ãŸã®ã§ã€å¤§ä½“ã“ã‚“ãªã‚‚ã®ã§ã™ã€‚ ãã“ã§ã€çœŸé¢ç›®ã«event_mpmã®ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ã‚’è¡Œã£ã¦ã¿ã¾ã—ãŸã€‚ã§ã€å¹¾åº¦ã¨ãªãベンãƒã‚’試ã—ãŸçµæžœå°Žã出ã—ãŸã€é™çš„コンテンツã«å¯¾ã™ã‚‹åŒæ™‚接続数100程度ã«å¯¾ã—ã¦æœ€é«˜ã®ãƒ‘フォーマンスを示ã™event_mpmã®è¨å®šã¯ä»¥ä¸‹ã®ã‚ˆã†ã«ãªã‚Šã¾ã—ãŸã€‚ [program lang=’apache’ escaped=’true’] StartServers 4 MinSpareThreads 4 MaxSpareThreads 4 ThreadsPerChild 2 MaxRequestWorkers 2 MaxConnectionsPerChild 0 [/p
Node.js vs Play vs SAStruts - hakobera's blog
å‰ç½®ã Experiences with Node.js: Porting a RESTful Service Written in Java - ZiggyTech 上記記事ã§ã¯ã€å®Ÿé¨“çš„ã«Java (Jersey + Hibernate on Tomcat) ã§å®Ÿè£…ã•ã‚ŒãŸ REST API サーãƒã‚’ Node.js ã§æ›¸ããªãŠã—ã¦ã¿ãŸã‚‰ã€å°‘ãªã„リソース（CPU/メモリ使用é‡ï¼‰ã§ã»ã¼åŒç‰ã®ãƒ‘フォーマンスãŒå‡ºã›ãŸã‚ˆï¼ˆãŸã ã—ã€O/Rマッパーを使用ã—ãªã„å ´åˆï¼‰ã€ã¨æ›¸ã„ã¦ã‚ã‚Šã¾ã™ã€‚ã“ã®ä»¶ã«é–¢ã—㦠@koichik ã•ã‚“ã¨ã‚„ã‚Šå–ã‚Šã—ã¦ã„ãŸä¸ã§ä»¥ä¸‹ã®ã‚ˆã†ãªæ„è¦‹ã‚’é ‚ã„ãŸã®ã§ã€å®Ÿéš›ã«ã‚„ã£ã¦ã¿ã¾ã—ãŸã¨ã„ã†è¨˜äº‹ã§ã™ã€‚ @hakobera メジャーã£ã¦ã“ã¨ã ã¨ï¼Œã‚ã®æ¯”較㌠Play ã§ã¯ãªã Tomcat ãªã®ã¯æ£è§£ï¼Žæ—¥æœ¬çš„ã«ã¯ Jersey ã§ã¯ãªã Struts (ã‚‚ã¡ã‚ã‚“ 1 ã®æ–¹)ãªã‚‰æ›´ã«ã‚ˆã‹ã£ãŸw 2
Linux Tips - RAMディスク（/dev/shm）ã®IO性能をãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ã«æ´»ç”¨ã™ã‚‹æ–¹æ³•
アプリケーションやプãƒã‚°ãƒ©ãƒ ã®ãƒ‘フォーマンスãŒæ€ã†ã‚ˆã†ã«ä¸ŠãŒã‚‰ãªã„å ´åˆã€ãƒãƒ¼ãƒ‰ãƒ‡ã‚£ã‚¹ã‚¯ã¸ã®ãƒ•ã‚¡ã‚¤ãƒ«IOãŒãƒ‘フォーマンスã®ãƒœãƒˆãƒ«ãƒãƒƒã‚¯ã«ãªã£ã¦ã„るケースãŒå¤šã€…ã‚ã‚Šã¾ã™ã€‚ã“ã“ã§ã¯ã€ãã®ã‚ˆã†ãªã‚±ãƒ¼ã‚¹ã«å¯¾ã—ã¦æœ‰åŠ¹ãªãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°æ–¹æ³•ã®ä¸€ã¤ã€Linuxã®RAMディスク（/dev/shm）を用ã„ãŸãƒ‘フォーマンスãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ã«ã¤ã„ã¦ç´¹ä»‹ã—ã¾ã™ã€‚ RAMディスクã¨ã¯ã€ãƒ¡ãƒ¢ãƒªã®ä¸€éƒ¨ã®é ˜åŸŸã‚’「仮想的ãªãƒãƒ¼ãƒ‰ãƒ‡ã‚£ã‚¹ã‚¯ã€ã¨ã—ã¦å‰²ã‚Šå½“ã¦ã¦åˆ©ç”¨ã™ã‚‹ã‚‚ã®ã§ã™ã€‚Linuxã«ã¯æ¨™æº–ã§tmpfs（/dev/shm）ã¨ã„ã†RAMディスクã®ä»•çµ„ã¿ãŒçµ„ã¿è¾¼ã¾ã‚Œã¦ãŠã‚Šã€ç°¡å˜ã«RAMディスクã®é ˜åŸŸã®ä½œæˆã—ã¦åˆ©ç”¨ã™ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚ RAMディスクã®IO性能ã¯ã€ã€ŒCPUãŒãƒ¡ãƒ¢ãƒªã«ã‚¢ã‚¯ã‚»ã‚¹ã™ã‚‹ã‚¹ãƒ”ードã€ã‹ã‚‰ã€Œãƒ•ã‚¡ã‚¤ãƒ«ã‚·ã‚¹ãƒ†ãƒ 制御ã®ã‚ªãƒ¼ãƒãƒ¼ãƒ˜ãƒƒãƒ‰åˆ†ã€ã‚’引ã„ãŸæ€§èƒ½ã«ãªã‚Šã¾ã™ã€‚RAMディスクを利用ã™ã‚‹ã“ã¨ã§ã€ãƒãƒ¼ãƒ‰ãƒ‡ã‚£ã‚¹ã‚¯ã§ã¯ã¨ã¦ã‚‚到é”ã§ããªã„レ
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The document contains results from various benchmark tests measuring the performance of different programming languages and implementations like Node.js, Java, Python, and others. It includes graphs showing the time taken to complete tasks like string concatenation and list operations. The benchmarks also compare just-in-time compilers and tracing JIT performance for some languages.Read less
File Copy in Java – Benchmark
Yesterday I wondered if the copyFile method in JTheque Utils was the best method or if I need to change. So I decided to do a benchmark. So I searched all the methods to copy a File in Java, even the bad ones and found the following methods : Naive Streams Copy : Open two streams, one to read, one to write and transfer the content byte by byte.Naive Readers Copy : Open two readers, one to read, on
ã€ãƒ¬ãƒãƒ¼ãƒˆã€‘Javaã§ãƒ•ã‚¡ã‚¤ãƒ«ã‚’高速ã«ã‚³ãƒ”ーã™ã‚‹æ–¹æ³• | エンタープライズ | マイコミジャーナル
Java Programming Language Javaã§ã¯ã•ã¾ã–ã¾ãªæ–¹æ³•ã§ãƒ•ã‚¡ã‚¤ãƒ«ã®ã‚³ãƒ”ーを実装ã§ãる。Javaプãƒã‚°ãƒ©ãƒžãªã‚‰èª°ã—も一度ã¯ã€ã©ã®æ–¹æ³•ãŒã‚‚ã£ã¨ã‚‚高速ã«ãƒ•ã‚¡ã‚¤ãƒ«ã‚³ãƒ”ーを実ç¾ã§ãã‚‹ã‹è€ƒãˆãŸã“ã¨ãŒã‚ã‚‹ã ã‚ã†ã€‚プãƒã‚°ãƒ©ãƒžã«ã¨ã£ã¦å®Ÿè¡Œé€Ÿåº¦ã¯ã„ã¤ã§ã‚‚最大ã®é–¢å¿ƒäº‹ã®ã²ã¨ã¤ã 。 File Copy in Java - Benchmark - Javalobbyã«ã€ã“ã†ã—ãŸç–‘å•ã«å¯¾ã™ã‚‹ã²ã¨ã¤ã®çµæžœã¨ã—ã¦èˆˆå‘³æ·±ã„記事ãŒæŽ²è¼‰ã•ã‚Œã¦ã„る。Baptiste Wichtæ°ãŒæŠ•ç¨¿ã—ãŸè¨˜äº‹ã§ã€ã‚³ãƒ”ー実装を10ã®ç¨®é¡žã«åˆ†é¡žã—ã€ãã‚Œãžã‚Œã©ã†ã„ã£ãŸé•ã„ãŒç¾ã‚Œã‚‹ã‹ã‚’紹介ã—ã¦ã„る。コピー方法ã¯æ¬¡ã®ã¨ãŠã‚Šã€‚ èªã¿è¾¼ã¿ã¨æ›¸ã出ã—ã®Streamã‚’é–‹ã„ã¦ã€byteã”ã¨ã«ãƒ•ã‚¡ã‚¤ãƒ«ã®ã‚³ãƒ”ーを実施。 èªã¿è¾¼ã¿ã¨æ›¸ã出ã—ã®Readerã‚’é–‹ã„ã¦ã€charã”ã¨ã«ãƒ•ã‚¡ã‚¤ãƒ«ã®ã‚³ãƒ”ーを実施。 èªã¿è¾¼ã¿ã¨æ›¸ã出ã—ã®BufferdStrea
Home · brianfrankcooper/YCSB Wiki · GitHub
Dismiss Join GitHub today GitHub is home to over 28 million developers working together to host and review code, manage projects, and build software together. Sign up Yahoo! Cloud Serving Benchmark (YCSB) News YCSB 0.14.0 (release note) is now available for download. Give it a try! https://github.com/brianfrankcooper/YCSB/releases/download/0.14.0/ycsb-0.14.0.tar.gz Links ycsb-users@yahoogroups.com
InnoDB vs MyISAM vs Falcon benchmarks - part 1
All of Percona’s open-source software products, in one place, to download as much or as little as you need.
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