EdgeRank
Alert! Anyone who says they can measure your EdgeRank score is lying to you. It is completely impossible because no general EdgeRank score exists. Note: I'm often asked to explain EdgeRank, so I wrote up this short guide. - Jeff Table of Contents What is EdgeRank? Why should I care? How does EdgeRank work? How do I check my EdgeRank score? How can I optimize my Facebook Page for EdgeRank? What is
How Reddit ranking algorithms work
This is a follow up post to How Hacker News ranking algorithm works. This time around I will examine how Reddit’s story and comment rankings work. The first part of this post will focus on how are Reddit stories ranked? The second part of this post will focus on comment ranking, which does not use the same ranking as stories (unlike Hacker News). Reddit’s comment ranking algorithm is quite interes
How Hacker News ranking algorithm works
In this post I’ll try to explain how the Hacker News ranking algorithm works and how you can reuse it in your own applications. It’s a very simple ranking algorithm and works surprising well when you want to highlight hot or new stuff. Digging into news.arc codeHacker News is implemented in Arc, a Lisp dialect coded by Paul Graham. Hacker News is open source and the code can be found at arclanguag
MapReduce Patterns, Algorithms, and Use Cases
In this article I digested a number of MapReduce patterns and algorithms to give a systematic view of the different techniques that can be found on the web or scientific articles. Several practical case studies are also provided. All descriptions and code snippets use the standard Hadoop’s MapReduce model with Mappers, Reduces, Combiners, Partitioners, and sorting. This framework is depicted in th
Raft
2. 自己紹介 ï¬ ä¹…ä¿ç”°å±•è¡Œ (@nobu_k) ï¬ Preferred Infrastructure America, Inc. å–ç· å½¹ ï¬ æœ¬æ—¥ã® NG ワード「ã„ã¤ã‚¢ãƒ¡ãƒªã‚«è¡Œãã®ï¼Ÿã€ ï¬ MessagePack for C,C++ メンテナ ï¬ åˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ ã€ DB ã€æ¤œç´¢ã‚¨ãƒ³ã‚¸ãƒ³ ï¬ æœ€è¿‘ golang ã«å¤¢ä¸ 2 3. 今日ã®è©±ï¼š Raft ï¬ Raft ã¨ã¯ ï¬ è¤‡è£½ã•ã‚ŒãŸãƒã‚°ã‚’管ç†ã™ã‚‹ãŸã‚ã®ã‚³ãƒ³ã‚»ãƒ³ã‚µã‚¹ ( åˆæ„ ) アルゴリズ ãƒ ï¬ Raft ã¯ã‚ã‹ã‚Šã‚„ã™ã•ã‚’é‡è¦–ã—ã¦ä½œã‚‰ã‚ŒãŸ ï¬ æ—¢å˜ã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã¯é›£ã—ã™ãŽã¦æ£ã—ã実装ã™ã‚‹ã®ãŒå›°é›£ ï¬ ã‚‚ã—ãã¯ã€é›£ã—ã„部分を簡å˜ã«ã—よã†ã¨ã—ã¦å®‰å…¨ã§ã¯ãªããªã£ãŸã‚Š ï¬ ã“ã®å…ˆç”Ÿãã®ã“ã‚‹ã«ã¯åˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ ã®ç†è§£ãŒå¿…é ˆ ï¬ ã‚³ãƒ³ã‚»ãƒ³ã‚µã‚¹ã¯å®‰å…¨ãªåˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ を構築ã™ã‚‹ä¸Šã§å¿…é ˆã®ãƒˆãƒ”ック ï¬ ãƒ„ãƒ¼ãƒ«ã¨ã—ã¦ä½¿ã†ã«ã—ã¦ã‚‚ã€ä¸èº«ã‚„特性ã¯ç†è§£ã—ã¦ãŠãã¹ã
大è¦æ¨¡ãªãƒ‡ãƒ¼ã‚¿ã‚’ãã‚Œãªã‚Šã«åŠ¹çŽ‡è‰¯ã計数ã§ãã‚‹ Algorithm::LossyCount を書ã„ãŸ
è¦æ—¨ Algorithm::LossyCount ã¨ã„ã†ãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ã‚’書ãã¾ã—ãŸã€‚ã“れを使ã†ã¨ãã“ãã“メモリ効率良ã大è¦æ¨¡ãªãƒ‡ãƒ¼ã‚¿ã®è¨ˆæ•°ãŒã§ãã¾ã™ã€‚アクセスランã‚ング集計ã¨ã‹ã«ä½¿ãˆã‚‹ã‚“ã˜ã‚ƒãªã„ã§ã—ょã†ã‹ã€‚ Github MetaCPAN å‹•æ©Ÿ 例ãˆã°ãƒ–ãƒã‚°ãƒ›ã‚¹ãƒ†ã‚£ãƒ³ã‚°ã‚µãƒ¼ãƒ“ス㧠HTTP サーãƒã®ã‚¢ã‚¯ã‚»ã‚¹ãƒã‚°ã‚’集計ã—ã¦äººæ°—ã®ã‚るブãƒã‚°è¨˜äº‹ãƒ©ãƒ³ã‚ングを出ã—ãŸã„ã¨ã—ã¾ã™ã€‚ Perl ã§ãƒ‡ãƒ¼ã‚¿ã®å‡ºç¾é »åº¦ã‚’計数ã™ã‚‹ã®ã¯ãƒãƒƒã‚·ãƒ¥ã‚’使ã†ã®ãŒé‰„æ¿ãªã®ã§ã€é©å½“ã«æ›¸ãã¨ã ã„ãŸã„ã“ã‚“ãªæ„Ÿã˜ã®ã‚³ãƒ¼ãƒ‰ã«ãªã‚‹ã¨æ€ã„ã¾ã™: #!/usr/bin/env perl use v5.18; my %access_counts; while (<>) { chomp; my $access_log = parse_access_log($_); next if is_article_request($access_log);
exponential backoffã®ãƒ¡ãƒ¢
exponential backoffã¨ã¯? データé€ä¿¡å‡¦ç†ãŒå¤±æ•—ã—ã¦å†é€ä¿¡ã™ã‚‹ã¨ãã«ã€å¤±æ•—回数ãŒå¢—ãˆã‚‹ã«é€£ã‚Œã¦å†é€ä¿¡ã™ã‚‹ã¾ã§ã®å¾…ã¡æ™‚間を指数関数的ã«å¢—ã‚„ã™ä»•çµ„ã¿ã‚’ exponential backoff ã¨ã„ã†ã€‚ 有åãªä¾‹ã¨ã—ã¦ã¯ Carrier sense multiple access with collision detection (CSMA/CD) ã‚„Â Carrier sense multiple access with collision avoidance(CSMA/CA) ã¨ã„ã£ãŸé€šä¿¡æ–¹å¼ã§ã€å¤±æ•—回数 N ã«å¯¾ã—ã¦ã€[0, 2^N-1] ã‹ã‚‰ãƒ©ãƒ³ãƒ€ãƒ ãªæ•°ã‚’é¸ã³ã€ãã® slot time 分ã ã‘å¾…ã£ã¦å†é€ä¿¡ã™ã‚‹ã‚ˆã†ã«ãªã£ã¦ã„る。 ランダムã«é¸ã‚“ã§ã„ã‚‹ã®ã¯ã€è¤‡æ•°ã®é€šä¿¡ãŒåŒã˜ã‚¿ã‚¤ãƒŸãƒ³ã‚°ã§å¤±æ•—ã—ãŸæ™‚ã«ã€ã¾ãŸåŒã˜ã‚¿ã‚¤ãƒŸãƒ³ã‚°ã§å†é€ã•ã‚Œãªã„よã†ã«ã™ã‚‹ãŸã‚。 ã¾ãŸã€å¤±æ•—回数ãŒä¸€å®šå€¤ã‚’超ãˆ
SmartNewsを支ãˆã‚‹æ©Ÿæ¢°å¦ç¿’
ニュースアプリSmartNews(https://www.smartnews.be/)ã®èƒŒæ™¯ã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã«ã¤ã„ã¦TokyoWebMining30th(http://tokyowebmining30.eventbrite.com/)ã§è©±ã•ã›ã¦ã„ãŸã ã„ãŸéš›ã®è³‡æ–™ã§ã™ã€‚ •SmartNews iphone版: https://itunes.apple.com/jp/app/id579581125 •SmartNews Android版 https://play.google.com/store/apps/details?id=jp.gocro.smartnews.android •SmartNews開発者ブãƒã‚° http://developer.smartnews.be/blog/Read less
ツイートID生æˆã¨ãƒ„イッターリアルタイム検索システムã®è©±
8. ツイートID生æˆã‚·ã‚¹ãƒ†ãƒ Snowflakeã¨ã¯ lï¬ ãƒ¦ãƒ‹ãƒ¼ã‚¯ãªIDを生æˆã™ã‚‹ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã‚µãƒ¼ãƒ“ス lï¬ ãƒ„ã‚¤ãƒƒã‚¿ãƒ¼ã®ãƒ„イートID(ステータスID)ã®å‰²ã‚Šå½“ã¦ã«ä½¿ã‚ã‚Œã¦ã„ã‚‹ lï¬ ãƒ„ã‚¤ãƒƒã‚¿ãƒ¼ç¤¾ãŒOSSã§å…¬é–‹ä¸ (*) lï¬ ç‰¹å¾´ lï¬ 64 bitã®IDã‚’ç”Ÿæˆ lï¬ ã–ã£ãã‚Šæ™‚åˆ»é † lï¬ é€Ÿã„ lï¬ 10000 ID/秒 ã®ã‚¹ãƒ”ードã§IDを生æˆã§ãã‚‹(1プãƒã‚»ã‚¹ã‚ãŸã‚Š) lï¬ ãƒ¬ã‚¹ãƒãƒ³ã‚¹ 2 ms (+ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã®ãƒ¬ã‚¤ãƒ†ãƒ³ã‚·) lï¬ ã‚¹ã‚±ãƒ¼ãƒ«ã™ã‚‹ lï¬ è¤‡æ•°ã®ãƒžã‚·ãƒ³ãƒ»ãƒ—ãƒã‚»ã‚¹ã§å”調動作ã—ãªã„ lï¬ ä¸¦ã¹ãŸã ã‘スケールã™ã‚‹(ã¯ãš) (*) https://github.com/twitter/snowflake 8 9. SnowflakeãŒé–‹ç™ºã•ã‚Œã‚‹ã¾ã§ lï¬ ãƒ„ã‚¤ãƒ¼ãƒˆã®æµé€Ÿå¢—åŠ ã¨ãƒ„イッターã®ã‚·ã‚¹ãƒ†ãƒ 移行 lï¬ 5億ツイート/æ—¥(ç´„6000ツイート/秒) (*1) lï¬ 2012å¹´1
循環å‚ç…§ã—ã¦ã‚‹ãƒªã‚¹ãƒˆã‚’検知ã™ã‚‹ã€‚ - rokujyouhitoma's blog
本コンテンツã®ä¸€éƒ¨ã¯ã€æ¥å‹™æ™‚間内ã«èª¿ã¹ãŸå†…容をå«ã‚“ã§ãŠã‚Šã€æ ªå¼ä¼šç¤¾ãƒ‡ã‚£ãƒ¼ãƒ»ã‚¨ãƒŒãƒ»ã‚¨ãƒ¼ã®æä¾›ã§ãŠé€ã‚Šã—ã¦ãŠã‚Šã¾ã™ã€‚ フãƒã‚¤ãƒ‰ã®å¾ªç’°æ¤œå‡ºæ³• フãƒã‚¤ãƒ‰ã®å¾ªç’°æ¤œå‡ºæ³•ãŒå¿…è¦ã«ãªã£ãŸãŸã‚JSã§å®Ÿè£…。 詳細ã¯wikipediaã¨ã‹è¦‹ã‚‹ã‚ˆã‚ã—。 /* Floyd's cycle-finding algorithm http://www.pierreq.kylos.pl/public/cycledetection.pdf */ function floyd(top) { var tortoise = top; var hare = top; while(true) { if(!hare.slice(1) || hare.length === 0) { return false; } hare = hare.slice(1); if(!hare.slice(1) || hare.length === 0) {
Distributed Algorithms in NoSQL Databases
Scalability is one of the main drivers of the NoSQL movement. As such, it encompasses distributed system coordination, failover, resource management and many other capabilities. It sounds like a big umbrella, and it is. Although it can hardly be said that NoSQL movement brought fundamentally new techniques into distributed data processing, it triggered an avalanche of practical studies and real-li
Paxos
NTT Tech Conference 2022 ã§ã®ã€ŒDockerã‹ã‚‰containerdã¸ã®ç§»è¡Œã€ã®ç™ºè¡¨è³‡æ–™ã§ã™ https://ntt-techconf.connpass.com/event/241061/ 訂æ£ï¼š P2. . 誤: ``` Ship docker run -it --rm alpine Run docker push ghcr.io/ktock/myalpine:latest ``` æ£: ``` Ship docker push ghcr.io/ktock/myalpine:latest Run docker run -it --rm alpine ```
システム・エンジニアã®åŸºç¤ŽçŸ¥è˜
é™å²¡ç†å·¥ç§‘大å¦æƒ…å ±å¦éƒ¨ã‚³ãƒ³ãƒ”ュータシステムå¦ç§‘è…æ²¼ç ”ç©¶å®¤ã®ãƒšãƒ¼ã‚¸ã§ã™ï¼Žä¸»ã¨ã—ã¦ï¼Œãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°è¨€èªžï¼ˆ HTML，C/C++, Java, JavaScript, PHP, HTML，VB，C# ），åŠã³ï¼Œã‚·ã‚¹ãƒ†ãƒ エンジニアã¨ã—ã¦ã®åŸºç¤ŽçŸ¥è˜ï¼ˆæ•°å¦ï¼Œã‚ªãƒšãƒ¬ãƒ¼ã‚·ãƒ§ãƒ³ã‚ºãƒ»ãƒªã‚µãƒ¼ãƒã‚„システム工å¦é–¢é€£ã®æ‰‹æ³•ï¼‰ã‚’扱ã£ã¦ã„ã¾ã™ï¼Ž
アルゴリズムã®å‹‰å¼·ã®ã—ã‹ãŸ - ãã—ã ã®Hatena
ã“ã®è¨˜äº‹ã§ã€ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã®å‹‰å¼·ã¯ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã‚«ã‚¿ãƒã‚°ã‚’覚ãˆã‚‹ã“ã¨ã˜ã‚ƒãªã„よã¨ã„ã†ã“ã¨ã‚’書ãã¾ã—ãŸã€‚ プãƒã‚°ãƒ©ãƒ ã®ç†è«–ã¨ã¯ãªã«ã‹ アルゴリズムã®å‹‰å¼·ã¨ã„ã†ã®ã¯ã€ã‚¹ãƒãƒ¼ãƒ„ã§è¨€ãˆã°è…•ç«‹ã¦ä¼ã›ã‚„èµ°ã‚Šè¾¼ã¿ã¿ãŸã„ãªåŸºç¤Žä½“力を養ã†ã‚ˆã†ãªã‚‚ã®ã§ã€ã€Œã‚½ãƒ¼ãƒˆãªã‚“ã‹å®Ÿéš›ã«è‡ªåˆ†ã§æ›¸ãã“ã¨ãªã„ã ã‚ã†ã€ã¨ã‹ã„ã†ã®ã¯ã€Œã‚µãƒƒã‚«ãƒ¼ã¯è…•ã¤ã‹ã‚ãªã„ã®ã«è…•ç«‹ã¦ã„らãªã„ã ã‚ã†ã€ã¨ã‹ã€Œé‡Žçƒã§1kmã‚‚èµ°ã‚‹ã“ã¨ãªã‚“ã‹ãªã„ã®ã«é•·è·é›¢ã®èµ°ã‚Šè¾¼ã¿ã„らãªã„ã ã‚ã†ã€ã¨ã‹è¨€ã†ã‚ˆã†ãªã‚‚ã®ã§ã™ã€‚ Twitterã§ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã®å‹‰å¼·ã¨ã¯ãªã«ã‹ã¨å°‹ãられã¦ã€ã€Œã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã®åŸºæœ¬çš„ãªãƒ‘ターンを知ã£ã¦ã€ãれらã®æ€§è³ªã®åˆ†æžã®ã—ã‹ãŸã‚’ã—ã£ã¦ã€ã„ã‚ã„ã‚ãªã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã§ã©ã®ã‚ˆã†ã«å¿œç”¨ã•ã‚Œã¦ã„ã‚‹ã‹çŸ¥ã£ã¦ã€è‡ªåˆ†ãŒçµ„むアルゴリズムã®æ€§è³ªã‚’判æ–ã§ãるよã†ã«ãªã‚‹ã“ã¨ã ã¨æ€ã„ã¾ã™ã€‚ ã€ã¨ç”ãˆãŸã®ã§ã™ãŒã€ã˜ã‚ƒã‚実際ã©ã†ã„ã†æœ¬ã§å‹‰å¼·ã™ã‚Œã°ã„ã„ã‹ã€ã¼ãã®çŸ¥ã£ã¦ã‚‹æœ¬ã‹ã‚‰ã¾ã¨ã‚ã¦ã¿ã¾ã—ãŸã€‚
1時間ã§ã‚ã‹ã‚‰ã›ãŸã‚³ãƒ³ã‚·ã‚¹ãƒ†ãƒ³ãƒˆãƒãƒƒã‚·ãƒ¥ã§ä»®æƒ³ãƒŽãƒ¼ãƒ‰ãŒå¿…è¦ãªç†ç”± - 西尾泰和ã®ã¯ã¦ãªãƒ€ã‚¤ã‚¢ãƒªãƒ¼
ConsistentHashing - コンシステント・ãƒãƒƒã‚·ãƒ¥æ³• ã¨ã‚ã‚‹ãƒãƒ£ãƒƒãƒˆã§èžã‹ã‚Œã¦å›³ã¾ã§æ›¸ã„ã¦è§£èª¬ã—ãŸã®ã§ã‚‚ã£ãŸã„ãªã„ã‹ã‚‰ã‚¨ãƒ³ãƒˆãƒªãƒ¼åŒ–。ã¡ãªã¿ã«ãƒãƒ£ãƒƒãƒˆãŒ1時間弱ã ã£ãŸã®ã§ã“ã†ã„ã†ã‚¿ã‚¤ãƒˆãƒ«ã«ã—ãŸã€‚ ã§ã€BãŒæ¶ˆãˆã‚‹ã¨Bã®è²¬ä»»ç¯„囲ãŒå…¨éƒ¨Dã«æŠ¼ã—付ã‘られã¦DãŒã‹ã‚ã„ãã†ã§ã—ょ。 Dã®ä»•äº‹ãŒå¢—ãˆã‚‹ã§ã—ょ。Cã¨ã‹æš‡ãã†ã˜ã‚ƒã‚“ï¼ã‚µãƒ¼ãƒã‚’複数用æ„ã—ã¦ã„るメリットãŒè–„ã‚Œã¦ã‚‹ã€‚ã¿ã‚“ãªãŒåŒã˜ãらã„åƒãã®ãŒæœ›ã¾ã—ã„。 ã§ã€BãŒ1個ã®ç‚¹ã§è¡¨ç¾ã•ã‚Œã¦ã„ã‚‹ã‹ã‚‰ã€ŒBã®æ‰‹å‰ã€ã‚‚Dã®1個ã ã‘ã§ã€ãã®ã›ã„ã§å…¨éƒ¨DãŒå¼•ãå—ã‘ã‚‹ã¯ã‚ã«ãªã£ãŸã€‚ã¤ã¾ã‚Šã€ä»•äº‹ãŒç´°ã‹ã分割ã•ã‚Œã¦ãªãã¦1個ã®å¡Šã ã‹ã‚‰å¼•ã継ã人も1人ã ã‘ã§å¼•ã継ã„ã 人涙目。ã‚らã‹ã˜ã‚仕事を100分割ã—ã¨ã‘ã°ã¿ã‚“ãªã§åˆ†æ‹…ã—ã¦è‚©ä»£ã‚ã‚Šã§ãã¦å¹¸ã›ã よã。 ã ã‹ã‚‰ã‚µãƒ¼ãƒãŒ5個ã ã‘ã©ç‚¹ã¯5個ã˜ã‚ƒãªãã¦500個打ã¨ã†ã€‚ãã‚ŒãŒä»®æƒ³ãƒŽãƒ¼ãƒ‰ã€‚ 実装ã¯ã©ã†ã™ã‚‹ã®ï¼Ÿã¨ã„ã†è³ªå•ã«å¯¾ã—ã¦
ジャンル別ゲームã®ä½œã‚Šæ–¹ã¨ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã¾ã¨ã‚ - ãƒãƒƒãƒˆã‚µãƒ¼ãƒ“ã‚¹ç ”ç©¶å®¤
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Not Exactly! Approximate Algorithms for Big Data
『アルゴリズムãŒä¸–界を支é…ã™ã‚‹ã€ã‚’èªã‚“ã · takus's blog
https://tamaraberg.com/papers/generation_nips2011.pdf
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