#cwt2016 Apache Kudu 構æˆã¨ãƒ†ãƒ¼ãƒ–ルè¨è¨ˆ
スライドä¸ã®URI - Kuduã®ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«(Cloudera Manager使用) http://www.cloudera.com/documentation/betas/kudu/latest/topics/kudu_installation.html - Impala-Kuduã®ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«(CDH5.8以å‰) http://www.cloudera.com/documentation/betas/kudu/latest/topics/kudu_impala.html#install_impala - Apache Kudu Troubleshooting http://kudu.apache.org/docs/troubleshooting.html - Apache Kudu project page http://kudu.apache.org/ - Cloudera Eng
Non-volatile Storage | the morning paper
the morning paper a random walk through Computer Science research, by Adrian Colyer Made delightfully fast by strattic Non-volatile Storage: Implications of the Datacenter’s shifting center – Nanavati et al. 2016 Strictly this is an article, not a paper, but it’s a great piece from this month’s ACM Queue magazine and very closely related to the discussion on the implications of non-volatile memory
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#dockerã®ãƒ‡ã‚£ã‚¹ã‚¯ã®ä½¿ç”¨æ–¹æ³• ##dataã¨metadata dockerã¯ãƒ‡ã‚£ã‚¹ã‚¯ã®ç®¡ç†æ–¹æ³•ã¨ã—ã¦ã€dm-thinã¨ã„ã†DeviceMapperã®æ©Ÿèƒ½ã‚’使ã„ã¾ã™ã€‚ 詳細ã¯ä»¥ä¸‹ã‚’å‚考ã«ã—ã¦ä¸‹ã•ã„。 dm-thinã®æ¦‚è¦ Docker専用ã®Linux - RHEL Atomic HostãŒç™»å ´ï¼ dm-thinã§ã¯ãƒ‡ãƒ¼ã‚¿é ˜åŸŸã¨ãƒ¡ã‚¿ãƒ‡ãƒ¼ã‚¿é ˜åŸŸãŒå¿…è¦ãªãŸã‚ã€dockerã¯/var/lib/docker/devicemapper/devicemapperã«dataã¨ã„ã†ãƒ‡ãƒã‚¤ã‚¹ãƒ•ã‚¡ã‚¤ãƒ«ã‚¤ãƒ¡ãƒ¼ã‚¸ã¨ã€metadataã¨ã„ã†ãƒ‡ãƒ¼ã‚¿ã‚’作æˆã—ã¾ã™ã€‚ fileコマンドã§ç¢ºèªã™ã‚‹ã¨dataã¯ext4 filesystemã§ã™ [root@master mnt]# ls -lh /var/lib/docker/devicemapper/devicemapper åˆè¨ˆ 8.5G -rw-------. 1 r
Googleã€1GB当ãŸã‚Š1セントãªãŒã‚‰3秒以内ã«ãƒ‡ãƒ¼ã‚¿å–å¾—ã§ãるニアラインストレージ「Cloud Storage Nearlineã€æ供開始
Googleã€1GB当ãŸã‚Š1セントãªãŒã‚‰3秒以内ã«ãƒ‡ãƒ¼ã‚¿å–å¾—ã§ãるニアラインストレージ「Cloud Storage Nearlineã€æ供開始 一般ã«ITã®ã‚·ã‚¹ãƒ†ãƒ ãŠã„ã¦ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã¯ã‚·ã‚¹ãƒ†ãƒ 全体ã®æ€§èƒ½ã‚’å·¦å³ã™ã‚‹é‡è¦ãªã‚³ãƒ³ãƒãƒ¼ãƒãƒ³ãƒˆã§ã‚ã‚‹ãŸã‚ã€é«˜æ€§èƒ½ãªSASドライブやSANストレージã€æœ€è¿‘ã§ã¯ãƒ•ãƒ©ãƒƒã‚·ãƒ¥ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ãªã©ãŒå¤šã用ã„られã¾ã™ã€‚ ã“ã†ã—ãŸæ€§èƒ½é‡è¦–ã®ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã¯ä¸€èˆ¬ã«ã‚ªãƒ³ãƒ©ã‚¤ãƒ³ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã€ã‚ã‚‹ã„ã¯ãƒ—ライマリストレージãªã©ã¨å‘¼ã°ã‚Œã¾ã™ãŒã€ã“ã‚Œã«å¯¾ã—ã¦ãƒãƒƒã‚¯ã‚¢ãƒƒãƒ—用途やã€å®¹é‡ã‚ãŸã‚Šã®ã‚³ã‚¹ãƒˆãªã©ã‚’é‡è¦–ã—ãŸã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã‚’「ニアラインストレージã€ã¨å‘¼ã³ã¾ã™ã€‚ä½Žä¾¡æ ¼ãªSATAãƒãƒ¼ãƒ‰ãƒ‡ã‚£ã‚¹ã‚¯ãªã©ã‚’用ã„ãŸã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ãªã©ãŒã“ã‚Œã«ç›¸å½“ã—ã¾ã™ã€‚ 長期ä¿å˜ã‚„アーカイブãŒä¸»ç›®çš„ã¨ãªã‚Šã€å…‰å¦ãƒ‡ã‚£ã‚¹ã‚¯ã‚„ç£æ°—テープã®ã‚ˆã†ã«èªã¿å‡ºã—時ã«ãƒ¡ãƒ‡ã‚£ã‚¢ã‚’交æ›ã—ãŸã‚Šãƒžã‚¦ãƒ³ãƒˆã™ã‚‹ã‚ˆã†ãªã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã®ã“ã¨ã‚’「オフラインストレージã€ã¨å‘¼ã³
NVMW 2025 - Program
AbstractFast growth of the computation cost associated with training and testing of deep neural networks (DNNs) inspired various acceleration techniques. Reducing topological complexity and simplifying data representation of neural networks are two approaches that popularly adopted in deep learning society: many connections in DNNs can be pruned and the precision of synaptic weights can be reduced
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サンディスクã¯2014å¹´1月23æ—¥ã€ãƒ¡ãƒ¢ãƒªãƒ¼ãƒãƒ£ãƒãƒ«ã‚’ストレージアクセスã«åˆ©ç”¨ã™ã‚‹ä½Žé…延ã®ãƒ•ãƒ©ãƒƒã‚·ãƒ¥ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã€ŒULLtraDIMMã€ï¼ˆå†™çœŸï¼‰ã«ã¤ã„ã¦ã€æ¤œè¨¼ç”¨ã®å‡ºè·ãŒå§‹ã¾ã£ã¦ã„ã‚‹ã¨ç™ºè¡¨ã—ãŸã€‚ç±³SanDiskãŒ1月20æ—¥ã«ç™ºè¡¨ã—ãŸå†…容を日本語化ã—ã¦ç™ºè¡¨ã—ãŸã‚‚ã®ã€‚ユーザーä¼æ¥ã«å¯¾ã—ã¦ã¯ã€ã‚µãƒ¼ãƒãƒ¼ãƒ™ãƒ³ãƒ€ãƒ¼ã¸ã®OEM供給を経ã¦å‡ºè·ã™ã‚‹å½¢ã«ãªã‚‹ã€‚ULLtraDIMMã‚’æ載ã™ã‚‹ã‚µãƒ¼ãƒãƒ¼ã®ä¾‹ã¨ã—ã¦ã¯ã€æ—¥æœ¬IBMãŒ2014年第1å››åŠæœŸã‹ã‚‰æ–°ä¸–代PCサーãƒãƒ¼ã€ŒX6ã€ã‚’出è·ã™ã‚‹ã“ã¨ã‚’発表済ã¿ã€‚ ULLtraDIMMã¨ã¯ã€PCサーãƒãƒ¼ã®ãƒ¡ãƒ¢ãƒªãƒ¼ã‚¹ãƒãƒƒãƒˆã«æŒ¿ã—ã¦ä½¿ãˆã‚‹DIMMåž‹ã®ãƒ•ãƒ©ãƒƒã‚·ãƒ¥ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã§ã‚る。カナダDiablo Technologiesã®MCS（Memory Channel Storage）技術を利用ã—ã¦ã„る。既å˜ã®ãƒ¡ãƒ¢ãƒªãƒ¼ã‚³ãƒ³ãƒˆãƒãƒ¼ãƒ©ãƒ¼ã‚’ãã®ã¾ã¾ä½¿ã£ã¦ã€ãƒ¡ã‚¤ãƒ³ãƒ¡ãƒ¢ãƒªãƒ¼ã®ãƒãƒ£ãƒãƒ«ï¼ˆDDR3）を介ã—ã¦
Maximizing Amazon S3 Performance (STG304) | AWS re:Invent 2013
Maximizing Amazon S3 Performance (STG304) | AWS re:Invent 2013 This advanced session targets Amazon Simple Storage Service (Amazon S3) technical users. We will discuss the impact of object naming conventions and parallelism on S3 performance, provide real-world examples and code the implements best practices for naming of objects and implementing parallelism of both PUTs and GETs, cover multi-part
AWS Storage and Database Architecture Best Practices (DAT203) | AWS re:Invent 2013
AWS Storage and Database Architecture Best Practices (DAT203) | AWS re:Invent 2013 Learn about architecture best practices for combining AWS storage and database technologies. We outline AWS storage options (Amazon EBS, Amazon EC2 Instance Storage, Amazon S3 and Amazon Glacier) along with AWS database options including Amazon ElastiCache (in-memory data store), Amazon RDS (SQL database), Amazon Dy
AWS re:Invent2013å‚åŠ ãƒ¬ãƒãƒ¼ãƒˆ #19 EC2 ブãƒãƒƒã‚¯ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸(EBS/インスタンスストア)ベストプラクティス | DevelopersIO
AWS re:Invent2013å‚åŠ ãƒ¬ãƒãƒ¼ãƒˆ #19 EC2 ブãƒãƒƒã‚¯ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸(EBS/インスタンスストア)ベストプラクティス ã©ã‚‚ã€å¤§ç€§ã§ã™ã€‚ 今回ã®re:Inventå‚åŠ ã§å€‹äººçš„ã«ã‚¢ãƒ„ã‹ã£ãŸãƒ†ãƒ¼ãƒžã®ã²ã¨ã¤ãŒã€EC2ã®ãƒ–ãƒãƒƒã‚¯ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸å‘¨ã‚Šã®ã‚»ãƒƒã‚·ãƒ§ãƒ³ã§æ¿ƒã„ã‚‚ã®ãŒèžã‘ãŸã“ã¨ã§ã™ã€‚3日目ã¨4日目ã«è¡Œã‚ã‚ŒãŸä»¥ä¸‹ã®ã‚»ãƒƒã‚·ãƒ§ãƒ³ã‹ã‚‰ã€ç¾æ™‚点ã§ã®ãƒ–ãƒãƒƒã‚¯ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã®ãƒ™ã‚¹ãƒˆãƒ—ラクティスãŒè¦‹ãˆã¦ããã†ã ã£ãŸã®ã§ã€ã‚»ãƒƒã‚·ãƒ§ãƒ³ã‹ã‚‰å¾—られãŸã“ã¨ã‚’自分ãªã‚Šã«ã¾ã¨ã‚ã¦ã¿ã¾ã—ãŸã€‚ STG402 - Advanced EBS Snapshot Management [11/14 17:30 Murano 3303] STG401 - NFS and CIFS Options for AWS [11/15 10:15 Venetian B] ã¡ãªã¿ã«ã€ãƒ—レゼンターã¯ã©ã¡ã‚‰ã‚‚AWSã§ãƒ‘ートナーSAã‚’å‹™ã‚ã‚‹Craig
AWS re:Invent2013å‚åŠ ãƒ¬ãƒãƒ¼ãƒˆ #13 AWS Storage and Database Architecture Best Practices | DevelopersIO
AWSã®ã‚¨ãƒ³ã‚¿ãƒ¼ãƒ—ライズソリューションアーã‚テクトã§ã‚ã‚‹ã€Siva Raghupathyã•ã‚“ã«ã‚ˆã‚‹ã€ŒAWS Storage and Database Architecture Best Practicesã€ã«å‚åŠ ã—ã¦ãã¾ã—ãŸã€‚ å„ストレージã€ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®å‘ãä¸å‘ãã¨ãƒ™ã‚¹ãƒˆãƒ—ラクティスを網羅的ã«ç´¹ä»‹ã™ã‚‹å†…容ã§ã—ãŸã€‚ AWSã¯ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã ã‘ã§ã‚‚沢山ã®ã‚µãƒ¼ãƒ“スãŒã‚ã‚‹ã®ã§ã€ã©ã®ã‚µãƒ¼ãƒ“スを利用ã™ã‚‹ã®ãŒä¸€ç•ªã„ã„ã®ã‹è¿·ã†ã“ã¨ãŒã‚ˆãã‚ã‚Šã¾ã™ã€‚ 以下ã¯ç™ºè¡¨å†…容ã®ç›´è¨³ã§ã™ãŒã€ãã‚Œãžã‚Œã®ã‚µãƒ¼ãƒ“スã®ç‰¹æ€§ã‚’押ã•ãˆã¦ãŠãã“ã¨ã§ã€ã‚ˆã‚Šç¢ºã‹ãªé¸å®šã‚’ã™ã‚‹ãŸã‚ã®ä¸€åŠ©ã«ãªã‚Œã°ã¨æ€ã„ã¾ã™ã€‚ 英語ãŒåˆ†ã‹ã‚‰ãªãã¦ã€è¨³ã›ã¦ã„ãªã„部分ãŒã‚ã‚Šã¾ã™ã€‚ 自信ãŒç„¡ã„ã¨ã“ã‚ã¯å…ƒã®è‹±èªžã‚’併記ã—ã¦ã„ã¾ã™ã€‚ CloudSearchãªã©ã®ä½¿ã£ãŸã“ã¨ãŒç„¡ã„サービスã¯ã»ã¨ã‚“ã©è¨³ã›ã¦ã„ã¾ã›ã‚“。ã™ã¿ã¾ã›ã‚“... ç†è§£ãŒé€²ã‚“ã ら訳ã—ã¦ã„ãã¾ã™ã€‚ RDS å‘ãå ´
Treasure Data’s Plazma: Columnar Cloud Storage | Treasure Data Blog
Treasure Data’s Plazma: Columnar Cloud Storage Tweet Treasure Data has been developed by Hadoop experts. We get Hadoop, and, in many ways, it’s part of our core. As we have built out the platform, we noticed that the storage layer needs to be multi-tenant, elastic, and easy to manage while keeping the scalability and efficiency. This led us to create Plazma, our own distributed columnar storage sy
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AWSã€EC2ã®æ–°ã‚¤ãƒ³ã‚¹ã‚¿ãƒ³ã‚¹ã€ŒHigh Storageã€ç™ºè¡¨ï¼šHadoopãªã©ã®å‡¦ç†å‘ã‘ã«48TBã®ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã‚’æä¾› ç±³Amazon Web Services (AWS）ã¯12月21æ—¥ã€å¤§é‡ã®ãƒ‡ãƒ¼ã‚¿ã¸ã®é«˜é€Ÿã‚¢ã‚¯ã‚»ã‚¹æ供を特徴ã¨ã™ã‚‹ã€ŒHigh Storageã€ã‚’発表ã—ãŸã€‚ ç±³Amazon Web Services (AWS）ã¯12月21æ—¥ã€Amazon EC2ã®æ–°ã—ã„インスタンスタイプã¨ã—ã¦ã€å¤§é‡ã®ãƒ‡ãƒ¼ã‚¿ã¸ã®é«˜é€Ÿã‚¢ã‚¯ã‚»ã‚¹æ供を特徴ã¨ã™ã‚‹ã€ŒHigh Storageã€ã‚’発表ã—ãŸã€‚ High Storageã¯ã€å¤§é‡ã®ãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã‚’シーケンシャルã«èªã¿æ›¸ãã™ã‚‹æ€§èƒ½ã®é«˜ã•ãŒæ±‚ã‚られるアプリケーションå‘ã‘ã«æœ€é©åŒ–ã—ãŸã‚¤ãƒ³ã‚¹ã‚¿ãƒ³ã‚¹ã€‚特ã«Hadoopã€ãƒ‡ãƒ¼ã‚¿ã‚¦ã‚§ã‚¢ãƒã‚¦ã‚¹ã€ãƒ‘ラレルファイルシステムを使ã£ã¦AWSクラウドã§å¤§é‡ã®ãƒ‡ãƒ¼ã‚¿ã®å‡¦ç†ã¨åˆ†æžã‚’è¡Œã†å ´åˆã«é©ã—ã¦ã„る。 ç¾æ™‚点ã§æä¾›ã—ã¦ã„ã‚‹ã®ã¯ã€ŒEight
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