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次世代ウェブカンファレンス #nextwebconf ã«å‚åŠ ã§ãã¾ã›ã‚“ã§ã—ãŸã®ã§ãŠè©«ã³ã—ã¾ã™ - kuenishi's blog
去る10月18æ—¥ã«è¡Œã‚ã‚ŒãŸæ¬¡ä¸–代ウェブカンファレンスã¯ã€ã‚ãŸã—もサーãƒãƒ¼ã‚¢ãƒ¼ã‚テクãƒãƒ£ãƒ¼ã¨ã„ã†ã‚»ãƒƒã‚·ãƒ§ãƒ³ã«ã‚¹ãƒ”ーカーã¨ã—ã¦å‘¼ã°ã‚Œã¦ã„ãŸã€‚ã‚ãŸã—も話ã™æ°—満々ã ã£ãŸãŒã€å½“æ—¥ã®æœã«ãªã£ã¦æ¬¡ç”·ãŒç™ºç†±ã—ã¦ã—ã¾ã„家åºã®äºˆå®šã‚’変更ã—ã¦å¦»ã¯æ¬¡ç”·ã€ã‚ãŸã—ã¯é•·ç”·ã‚’連れã¦å½¼ã®äºˆå®šã‚’ã“ãªã™ã“ã¨ã«ã—ãŸã€‚ã®ã§æ³£ãæ³£ã当日æœã«å‚åŠ ã‚’æ–ã£ãŸã€‚当日ã¯ç››æ³ã ã£ãŸã‚ˆã†ã§ä½•ã‚ˆã‚Šã§ã‚る。 当日ã¯ã‚¹ã‚¿ãƒƒãƒ•ãŒå……実ã—ã¦ã„ã¦ã€ã‚¹ãƒˆãƒªãƒ¼ãƒŸãƒ³ã‚°ã‚„録画も行ã‚ã‚ŒãŸã€‚ã‚ãŸã—ãŒå‡ºã‚‹ã¯ãšã ã£ãŸ server_arch セッションã®å‹•ç”»ã‚‚公開ã•ã‚Œã¦ã„る。ã“ã“ã§ã¯ã€å½“日言ãŠã†ã¨æ€ã£ã¦ã„ãŸã“ã¨ã¨ã€ã“ã®å‹•ç”»ã‚’見ã¦è¨€ã„ãŸã„ã“ã¨ã‚’ã“ã“ã«æ›¸ã„ã¦å½“æ—¥å‚åŠ ã§ããªã‹ã£ãŸè©«ã³ã¨ã—ãŸã„。ã™ã¾ã‚“ã‹ã£ãŸã€‚ ウェブ is 何 / 次世代 is 何 CERN発祥ã®HTTP/HTMLã§æƒ…å ±ä¼é”ã™ã‚‹ä»•çµ„ã¿ï¼ˆæ˜”WWWã¨ã‹è¨€ã‚ã‚Œã¦ã„ãŸã‚‚ã®ï¼‰ãŒæ™®åŠã—ãã£ã¦ã€ã‚ã‚‰ã‚†ã‚‹æƒ…å ±ãŒã‚¤ãƒ³ã‚¿ãƒ¼ãƒãƒƒãƒˆã‚’介ã—ã¦
(ARC401) Cloud First: New Architecture for New Infrastructure
(ARC401) Cloud First: New Architecture for New Infrastructure What do companies with internal platforms have to change to succeed in the cloud? The five pillars at the heart of IT solutions in the cloud are automation, fault tolerance, horizontal scalability, security, and cost-effectiveness. This talk discusses tools that facilitate the development and automate the deployment of secure, highly av
YAPC Asia 2015「Google Cloud Platformã®è¬Žãƒ†ã‚¯ãƒŽãƒã‚¸ãƒ¼ã‚’掘り下ã’ã‚‹ã€ã®ã¾ã¨ã‚ - Qiita
Deleted articles cannot be recovered. Draft of this article would be also deleted. Are you sure you want to delete this article? YAPC::Asia Tokyo 2015ã€ãƒã‚´ã®ã¨ãŠã‚Šã«ç†±ã„イベントã§ã—ãŸ...今年ã§æœ€å¾Œãªã®ã¯ã»ã‚“ã¨ã«æƒœã—ã„ã§ã™ã€‚最åˆã«ã—ã¦æœ€å¾Œã®å‚åŠ ã¨ãªã£ãŸç§ã¯ã€ã€ŒGoogle Cloud Platformã®è¬Žãƒ†ã‚¯ãƒŽãƒã‚¸ãƒ¼ã‚’掘り下ã’ã‚‹ã€ã¨ã„ã†ã‚¿ã‚¤ãƒˆãƒ«ã§ãƒˆãƒ¼ã‚¯ã‚’ã•ã›ã¦ã„ãŸã ãã¾ã—ãŸã€‚ [スライドã¯ã“ã“] (https://speakerdeck.com/googlecloudjapan/deep-dive-into-google-cloud-technology)ã«ä¸Šã’ã¦ã‚ã‚Šã¾ã™ãŒã€ã“ã‚Œã ã‘見ã¦ã‚‚æ„味ä¸æ˜Žã¨æ€ã‚れるã®ã§ã€è©±ã—ãŸå†…容ã®è¦ç´„ã‚’ã¾ã¨ã‚ブãƒ
クラウドコンピューティングã®å°†æ¥å‹•å‘ (pdf)
Ichiro Satoh クラウドコンピューティングã®å°†æ¥å‹•å‘ ä½è—¤ä¸€éƒŽ å›½ç«‹æƒ…å ±å¦ç ”究所 E-mail: [email protected] Twitter: ichiro_satoh Ichiro Satoh 自己紹介：ä½è—¤ä¸€éƒŽ   å›½ç«‹æƒ…å ±å¦ç ”究所・アーã‚テクãƒãƒ£ç§‘å¦ç ”究系・教授   国立大å¦æ³•äººç·åˆç ”究大å¦é™¢å¤§å¦ãƒ»è¤‡åˆç§‘å¦ç ”ç©¶ç§‘ãƒ»æƒ…å ±å¦å°‚攻・教授   専門：   分散システム  ITを利用ã—ãŸç¤¾ä¼šæ”¯æ´ï¼ˆåšç‰©é¤¨æ”¯æ´ã€æŽ’出é‡å–引他） ç•¥æ´ â€¯ 1991年 慶應義塾大å¦ç†å·¥å¦éƒ¨ï¼ˆé›»æ°—å·¥å¦ç§‘ï¼‰å’ â€¯ 1996年 åŒå¤§å¦å¾ŒæœŸåšå£«èª²ç¨‹ï¼ˆè¨ˆç®—機科å¦å°‚æ”»ã€åšå£«ï¼ˆå·¥å¦ï¼‰ï¼‰ 備考   Rank Xerox å®¢å“¡ç ”ç©¶å“¡   科å¦æŠ€è¡“振興事æ¥å›£ã•ããŒã‘ç ”ç©¶21ã€Œæƒ…å ±ã¨çŸ¥ã€ç ”究委員   å¹³æˆï¼‘８年度科å¦æŠ€è¡“分野 文部科å¦å¤§è‡£è¡¨å½°â€ƒè‹¥æ‰‹ç§‘å¦è€…賞 å›½ç«‹æƒ…å ±
GitHub - nathanmarz/elephantdb: Distributed database specialized in exporting key/value data from Hadoop
ElephantDB 0.5.1 (cascalog 2.x) ElephantDB 0.4.5 (cascalog 1.x) About ElephantDB is a database that specializes in exporting key/value data from Hadoop. ElephantDB is composed of two components. The first is a library that is used in MapReduce jobs for creating an indexed key/value dataset that is stored on a distributed filesystem. The second component is a daemon that can download a subset of a
Custom Software Development Company - PHPFog.com
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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
Rackspace Cloud Computing & Hosting | NoSQL Ecosystem
By Jonathan Ellis, Systems Architect Unprecedented data volumes are driving businesses to look at alternatives to the traditional relational database technology that has served us well for over thirty years. Collectively, these alternatives have become known as “NoSQL databases.†The fundamental problem is that relational databases cannot handle many modern workloads. There are three specific pr
1å°æ§‹æˆã®Hadoopã‚’30分ã§è©¦ã—ã¦ã¿ã‚‹(CentOS + Cloudera)
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(ARC346) Scaling To 25 Billion Daily Requests Within 3 Months On AWS
data recovery
COS 493, Spring 2002: Schedule and Readings
Good night, Posterous
astrumfutura.com
Cloudera Desktop | Cloudera
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