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è»¢è·ã—ã¦7å¹´ãŒéŽãŽãŸã¨ã„ã†ã®ã‚’èªã‚“ã§æ°—ã¥ã„ãŸã‚“ã ã‘ã©ã€ãã‚ãã‚å…¥ç¤¾å¾Œ9å¹´ãŒçµŒéŽã—ãŸã‚‰ã—ã„ã€‚åƒ•ã¯çµæ§‹é•·ã„æœŸé–“ã‚’ã“ã“ã§éŽã”ã—ãŸã“ã¨ã«ãªã‚‹ã‚“ã ãªã¨æ€ã£ãŸã€‚ã¡ã‚‡ã£ã¨ä»¥å‰ã®ã“ã¨ã‚’æŒ¯ã‚Šè¿”ã£ã¦ã¿ã‚ˆã†ã¨æ€ã†ã€‚è¨€ã†ã¾ã§ã‚‚ãªã„ã‘ã©ã“ã‚Œã¯åƒ•ã®æ›¸ã‘ã‚‹ç¯„å›²ã§ã®å€‹äººçš„ãªæ„Ÿæƒ³ã¨ä½“é¨“è«‡ã§ã‚ã£ã¦ä¼šç¤¾ã®è¦‹è§£ç‰ã‚’è¡¨ã—ã¦ã„ã‚‹ã‚‚ã®ã§ã¯ãªã„ã€‚ ãã£ã‹ã‘ ã‚ã‚Šã¨é‡è¦ã§ãªã„ Borgãƒãƒ¼ãƒ (ã®å‘¨è¾º) ã„ã¤ã®ã¾ã«ã‚„ã‚‰Borgã¨ã„ã†åå‰ã‚’æ™®é€šã«è¨€ã£ã¦è‰¯ããªã£ã¦ã„ã‚‹ã€‚å¬‰ã—ã„ã€‚ã¾ã‚å½“æ™‚ã‚‚ã¶ã£ã¡ã‚ƒã‘ã€ç§˜å¯†ã ã‹ã‚‰å‡ºã—ã¦ãªã„ã£ã¦ã„ã†ã‚ˆã‚Šã¯ã€å˜ã«èª°ã‚‚ã‚¢ã‚«ãƒ‡ãƒŸã‚¢çš„ãªã‚ãƒ£ãƒªã‚¢ã«èˆˆå‘³ãŒç„¡ã„ã‹ã‚‰å‡ºã—ã¦ãªã‹ã£ãŸã‚“ã ã¨æ€ã†(ç§è¦‹)ã€‚ ã•ã¦ã€å½“æ™‚Borgã¨ã„ã†ã‹ã‚¯ãƒ©ã‚¹ã‚¿ãƒžãƒãƒ¼ã‚¸ãƒ¡ãƒ³ãƒˆã®ã‚ãŸã‚Šã§ã¯ã€ã‚³ãƒ³ãƒ”ãƒ¥ãƒ¼ã‚¿ã®ãƒªã‚½ãƒ¼ã‚¹ã¦é©å½“ã«ãŸãã•ã‚“ä½¿ã£ã¦ã‚‹ã‘ã©ã€ã“ã‚Œç¯€ç´„ã—ãŸã‚‰ã™ã£ã’ãƒ¼æ”¯å‡ºæ¸›ã£ãŸã‚Šã—ãªã„ï¼Ÿã¿ãŸã„ãªã®ãŒãƒ›ãƒƒãƒˆã§ã€ãªã‚“ã‹ã¨ã‚Šã‚ãˆãšè‰²ã€…ãªäººã€…ãŒè‰²ã‚“ãªã“ã¨ã‚’ã‚„ã£ã¦ã„ãŸã€‚ã„
oza_x86 2016/03/11
Google

Borg
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ã‚°ãƒ¼ã‚°ãƒ«ã€ã€ŒOpen Compute Projectã€ã«å‚åŠ --48Vé›»æºã®ãƒ©ãƒƒã‚¯ä»•æ§˜ã‚’å¯„è´ˆã¸
å°åˆ·ã™ã‚‹ ãƒ¡ãƒ¼ãƒ«ã§é€ã‚‹ ãƒ†ã‚ã‚¹ãƒˆ HTML é›»åæ›¸ç± PDF ãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰ ãƒ†ã‚ã‚¹ãƒˆ é›»åæ›¸ç± PDF ã‚¯ãƒªãƒƒãƒ—ã—ãŸè¨˜äº‹ã‚’Myãƒšãƒ¼ã‚¸ã‹ã‚‰èªã‚€ã“ã¨ãŒã§ãã¾ã™ Googleã¯ç±³å›½æ™‚é–“3æœˆ9æ—¥ã€ã€ŒOpen Compute Projectï¼ˆOCPï¼‰ã€ã«å‚åŠ ã—ãŸã¨ç™ºè¡¨ã—ãŸã€‚ã¾ãŸåŒç¤¾ã¯ã€è‡ªç¤¾ãƒ‡ãƒ¼ã‚¿ã‚»ãƒ³ã‚¿ãƒ¼ã‚¤ãƒ³ãƒ•ãƒ©ã§ä½¿ç”¨ã—ã¦ã„ã‚‹æ–°ãŸãªãƒ©ãƒƒã‚¯ã®ä»•æ§˜ã‚’æä¾›ã™ã‚‹è¨ˆç”»ã ã€‚ Googleã®å‚åŠ ã«ã‚ˆã£ã¦ã€ãƒã‚¤ãƒ‘ãƒ¼ã‚¹ã‚±ãƒ¼ãƒ«ã‚¯ãƒ©ã‚¦ãƒ‰ã‚’æ‰‹ãŒã‘ã‚‹ã»ã¨ã‚“ã©ã®ä¼æ¥ãŒOCPã«åã‚’é€£ããŸã“ã¨ã«ãªã‚‹ã€‚OCPã¯Facebookã®æå”±ã«ã‚ˆã£ã¦ç”Ÿã¾ã‚ŒãŸãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã ã€‚ Googleã¯ã€48Vçµ¦é›»ã®ãƒ©ãƒƒã‚¯ã‚’å¯„è´ˆã™ã‚‹ã“ã¨ã§ã€è‡ªç¤¾ãƒ‡ãƒ¼ã‚¿ã‚»ãƒ³ã‚¿ãƒ¼å†…ã§OCPã®æŠ€è¡“ã‚’åˆ©ç”¨ã§ãã‚‹ã‚ˆã†ã«ãªã‚‹ã¨è¿°ã¹ã¦ã„ã‚‹ã€‚ åŒæ—¥ã€ã‚«ãƒªãƒ•ã‚©ãƒ«ãƒ‹ã‚¢å·žã‚µãƒ³ãƒŽã‚¼ã§ã¯ã€ŒOCP U.S. Summit 2016ã€ãŒé–‹å¹•ã—ãŸã€‚ Googleã¯åŒç¤¾ãƒ–ãƒã‚°ã§ã€2006å¹´ã®12Vã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒ
oza_x86 2016/03/10
OCP

Google
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è»¢è·ã—ã¦7å¹´ãŒéŽãŽãŸ
ã“ã‚Œã‚’ä¸€éƒ¨ã§ã‚·ã‚§ã‚¢ã—ãŸã®ã¯2014å¹´ãªã®ã§çµæ§‹å‰ã§ã™ãŒã€ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã®ã‚ãƒ£ãƒªã‚¢ãƒ‘ã‚¹ã‚’è€ƒãˆã‚‹ã«ã‚ãŸã£ã¦å‚è€ƒã«ãªã‚‹ã‹ã¨æ€ã£ã¦å…¬é–‹ã—ã¾ã™ã€‚ã‚ãã¾ã§å€‹äººçš„ãªä½“é¨“è«‡ã§ä¼šç¤¾ã®è¦‹è§£ãªã©ã¨ã¯é–¢ä¿‚ãªã„ã¨ã„ã†ã“ã¨ã«æ³¨æ„ã—ã¦ãã ã•ã„ã€‚ -------- å…¥ç¤¾æ—¥è¨˜å¿µã®ç„¡æ–™ãƒžãƒƒã‚µãƒ¼ã‚¸ã‚¯ãƒ¼ãƒãƒ³ã®ãƒ¡ãƒ¼ãƒ«ã‚’å—ã‘å–ã£ã¦æ°—ã¥ã„ãŸã‚“ã ã‘ã©ã€ã“ãªã„ã ã§å…¥ç¤¾å¾Œ7å¹´ãŒçµŒéŽã—ãŸã‚‰ã—ã„ã€‚åƒ•ã¯çµæ§‹é•·ã„æœŸé–“ã‚’ã“ã“ã§éŽã”ã—ãŸã“ã¨ã«ãªã‚‹ã‚“ã ãªã¨æ€ã£ãŸã€‚ã¡ã‚‡ã£ã¨ä»¥å‰ã®ã“ã¨ã‚’æŒ¯ã‚Šè¿”ã£ã¦ã¿ã‚ˆã†ã¨æ€ã†ã€‚è¨€ã†ã¾ã§ã‚‚ãªã„ã‘ã©ã“ã‚Œã¯åƒ•ã®æ›¸ã‘ã‚‹ç¯„å›²ã§ã®å€‹äººçš„ãªæ„Ÿæƒ³ã¨ä½“é¨“è«‡ã§ã‚ã£ã¦ä¼šç¤¾ã®è¦‹è§£ç‰ã‚’è¡¨ã—ã¦ã„ã‚‹ã‚‚ã®ã§ã¯ãªã„ã€‚ ãã£ã‹ã‘ ãã‚‚ãã‚‚æœ€åˆã¯2007å¹´ã«Google Japanã®ãƒªã‚¯ãƒ«ãƒ¼ã‚¿ãƒ¼ã‹ã‚‰ãƒ¡ãƒ¼ãƒ«ã‚’ã‚‚ã‚‰ã£ãŸã®ãŒãã£ã‹ã‘ã ã£ãŸã€‚Google Japanã®çŸ¥ã‚Šåˆã„ã‹ã‚‰ç´¹ä»‹ã§èª˜ã„ãŒãã¦ã€ã€ŒãŠã€ã“ã‚Œã¯å¼•ãæŠœãã£ã¦ã“ã¨ã‹ãªï¼Ÿã€ã¨æ€ã£ã¦ã‚ˆã‚ã“ã‚“ã§è©±ã‚’èžãã«è¡Œã£ãŸã®ã ã£ãŸ
oza_x86 2016/03/09
Google
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Borg, Omega, and Kubernetes - ACM Queue
March 2, 2016 Volume 14, issue 1 PDF Borg, Omega, and Kubernetes Lessons learned from three container-management systems over a decade Brendan Burns, Brian Grant, David Oppenheimer, Eric Brewer, and John Wilkes, Google Inc. Though widespread interest in software containers is a relatively recent phenomenon, at Google we have been managing Linux containers at scale for more than ten years and built
oza_x86 2016/03/04
YARN

Borg

Google
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Apple Sets Its Sights on Virtual Reality (Published 2016)
Timothy D. Cook, the chief executive of Apple, which recently acquired an augmented reality start-up.Credit...Richard Drew/Associated Press Facebook, Google and Microsoft have all delved into virtual and augmented reality techno logy. Now Apple is dipping a toe into the space too. Apple recently acquired an augmented reality start-up called Flyby Media and hired Doug Bowman, who ran the Center for
oza_x86 2016/01/31
Apple

Facebook

Google

VR
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Googleã¨UDACITYã€ã€ŒTensorFlowã€ã§å¦ã¶ãƒ‡ã‚£ãƒ¼ãƒ—ãƒ©ãƒ¼ãƒ‹ãƒ³ã‚°è¬›åº§ã‚’é–‹è¨
ç±³Googleã¯1æœˆ21æ—¥ï¼ˆç¾åœ°æ™‚é–“ï¼‰ã€ç„¡æ–™ã‚ªãƒ³ãƒ©ã‚¤ãƒ³å¦ç¿’ãƒ—ãƒã‚°ãƒ©ãƒ ï¼ˆMOOCï¼‰UDACITYã¨å”åŠ›ã—ã€ãƒ‡ã‚£ãƒ¼ãƒ—ãƒ©ãƒ¼ãƒ‹ãƒ³ã‚°ã‚’å¦ã¹ã‚‹ç„¡æ–™ã‚³ãƒ¼ã‚¹ã€ŒDeep Learningï¼šTaking machine learning to the next levelã€ã‚’é–‹è¨ã—ãŸã¨ç™ºè¡¨ã—ãŸã€‚ ã“ã®çŸæœŸé–“ã®é›†ä¸ã‚³ãƒ¼ã‚¹ï¼ˆç´„3ã‚«æœˆï¼‰ã¯ã€ãƒ‹ãƒ¥ãƒ¼ãƒ©ãƒ«ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã‚„Long short term memory networkï¼ˆLSTMï¼‰ãªã©ã€ãƒ‡ã‚£ãƒ¼ãƒ—ãƒ©ãƒ¼ãƒ‹ãƒ³ã‚°ã®åŸºæœ¬ã‚’å¦ã¹ã‚‹ã€‚å¦ç¿’ã«ã¯GoogleãŒæ˜¨å¹´11æœˆã«ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹åŒ–ã—ãŸæ©Ÿæ¢°å¦ç¿’ã‚·ã‚¹ãƒ†ãƒ ã€ŒTensorFlowã€ã‚’ä½¿ã†ã€‚ ã“ã®ã‚³ãƒ¼ã‚¹ã‚’å±¥ä¿®ã™ã‚‹ã¨ã€æ©Ÿæ¢°å¦ç¿’ã®ãƒŠãƒŽå¦ä½ã‚’å–å¾—ã§ãã‚‹ä¸Šç´šã‚³ãƒ¼ã‚¹ã€ŒMachine Learning Engineer Nanodegreeã€ï¼ˆæœˆé¡199ãƒ‰ãƒ«ã‹ã‚‰ï¼‰ã‚’å—è¬›ã§ãã‚‹ã€‚ Googleã¯ã€Œã“ã®ã‚³ãƒ¼ã‚¹ã®ç›®æ¨™ã¯ã€æ©Ÿæ¢°å¦ç¿’ã«é«˜ã„é–¢å¿ƒã®ã‚ã‚‹äººã€…ã«
oza_x86 2016/01/22
Google
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Cloud Vision APIã®å‡„ã•ã‚’ä¼ãˆã‚‹ã¹ãRasPi botã¨ãƒ“ãƒ‡ã‚ªã‚’ä½œã£ãŸè©±
ï¼ˆã“ã®è¨˜äº‹ã¯Google Cloud Platform Advent Calendar 2015ã®12æœˆ3æ—¥åˆ†ã®è¨˜äº‹ã§ã™ï¼‰ Cloud Vision APIã¨ç§ Googleã«å…¥ã£ã¦ã‹ã‚‰ã¾ã‚‚ãªã5å¹´ã€Google Cloud Platformã®ãƒ‡ãƒ™ãƒãƒƒãƒ‘ãƒ¼ã‚¢ãƒ‰ãƒœã‚±ã‚¤ãƒˆï¼ˆã‚¨ãƒãƒ³ã‚¸ã‚§ãƒªã‚¹ãƒˆã¿ãŸã„ãªå½¹å‰²ï¼‰ã®ä»•äº‹ã«å°±ã„ã¦ã‹ã‚‰1å¹´ãŒçµŒã¡ã¾ã—ãŸã€‚ä»•äº‹ã®åŠåˆ†ã¯ã‚¢ã‚¸ã‚¢åœ°åŸŸå‘ã‘ã®é–‹ç™ºè€…ã‚³ãƒŸãƒ¥ãƒ‹ãƒ†ã‚£æ”¯æ´ã§ã€æ®‹ã‚ŠåŠåˆ†ã¯GCPã®æ–°è£½å“ãƒãƒ¼ãƒ³ãƒã®æ”¯æ´ã‚’ã‚°ãƒãƒ¼ãƒãƒ«å‘ã‘ã«è¡Œã£ã¦ã„ã¾ã™ã€‚ ç‰¹ã«ã“ã“åŠå¹´ã¯ã€TensorFlowã‚’ã¯ã˜ã‚ã€GCPã®æ©Ÿæ¢°å¦ç¿’ç³»ãƒ—ãƒãƒ€ã‚¯ãƒˆã®ãƒãƒ¼ãƒ³ãƒæ”¯æ´ã«ãƒ•ã‚©ãƒ¼ã‚«ã‚¹ã—ã¦ã„ã¾ã™ã€‚TensorFlowã¯ãã®åºç« ã§ã€å…¬é–‹å‰ã‹ã‚‰Alphaã‚«ã‚¹ã‚¿ãƒžãƒ¼å‘ã‘ã®ã‚¹ãƒ©ã‚¤ãƒ‰ã‚’ä½œã£ãŸã‚Šèª¬æ˜Žã‚„ãƒ‡ãƒ¢ã—ãŸã‚Šã—ã¦ã„ã¾ã—ãŸã€‚ ãã†ã—ãŸGCPã®æ–°ã—ã„æ©Ÿæ¢°å¦ç¿’ç³»ã‚µãƒ¼ãƒ“ã‚¹ã®ã²ã¨ã¤ãŒã€Cloud Vision APIã§ã™ã€‚ã“ã‚Œã¯Googl
oza_x86 2015/12/03
"RESTã§ç”»åƒãƒ‡ãƒ¼ã‚¿ã‚’ã‚¯ãƒ©ã‚¦ãƒ‰ã«é€ã‚‹ã¨ã€åˆ†æžçµæžœã®JSONã‚’1ç§’ç¨‹åº¦ã§è¿”ã—ã¦ãã‚Œã¾ã™ã€‚TensorFlowã®ã‚ˆã†ã«æ©Ÿæ¢°å¦ç¿’ã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã‚’è¨˜è¿°ã—ãŸã‚Šãƒ¢ãƒ‡ãƒ«ã®å¦ç¿’ã‚’è¡Œã†å¿…è¦ã¯ãªã„"

Google
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Site Reliability Engineering
Read it now on the Oâ€™Reilly learning platform with a 10-day free trial. Oâ€™Reilly members get unlimited access to books, live events, courses curated by job role, and more from Oâ€™Reilly and nearly 200 top publishers. The overwhelming majority of a software system's lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primar
oza_x86 2015/11/30
Google
ãƒªãƒ³ã‚¯
Googleâ€™s Deep Learning Machine Learns to Synthesize Real World Images
Googleâ€™s Deep Learning Machine Learns to Synthesize Real World Images Give Googleâ€™s DeepStereo algorithm two images of a scene and it will synthesize a third image from a different point of view. Google Street View offers panoramic views of more or less any city street in much of the developed world, as well as views along countless footpaths, inside shopping malls, and around museums and art gall
oza_x86 2015/09/08
Google

ML
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Omega, and what it means for Kubernetes: a Q&A about cluster scheduling â€“ Kismatic
Malte Schwarzkopf AÂ Q&A with Malte Schwarzkopf,Â co-author of the Omega paper. tl;dr: Malte explains how the primary goal of Google Omegaâ€™s shared-state design was flexibility in software engineering, rather than scalability. He explains that shared-state scheduling enables useful policies, such as priority preemption and interference-aware scheduling. Prior two-level scheduler designs (e.g. in YAR
oza_x86 2015/06/30
Google
ãƒªãƒ³ã‚¯
The Container Revolution: DevOps 2.0 (with images, tweets) Â· martin_hamilton Â· Storify
oza_x86 2015/05/18
Borg

YARN

Google
ãƒªãƒ³ã‚¯
How Google Works
Today we all live and work in the Internet Century, where techno logy is roiling the business landscape, and the pace of change is only accelerating. In their new book How Google Works, Google Executive Chairman and ex-CEO Eric Schmidt and former SVP of Products Jonathan Rosenberg share the lessons they learned over the course of a decade running Google. Covering topics including corporate culture,
oza_x86 2014/10/17
Google
ãƒªãƒ³ã‚¯
google-refine - Project Hosting on Google Code
Code Archive Skip to content Google About Google Privacy Terms
oza_x86 2014/10/17
â€œGoogle Refine is a power tool for working with messy data, cleaning it up, transforming it from one format into another, extending it with web services, and linking it to databases like Freebase.â€

Google
ãƒªãƒ³ã‚¯
Is HDFS way behind GFS? If yes, how so?
Answer: A decade is a long time in the techno logy world, and there's really no way that a system designed around a 2003 paper (for a system built in 2001) would not be behind. I left Google in 2008 and have since been using Hadoop, and I'd expect HDFS to still be behind on a few dimensions. 1. ...
oza_x86 2014/09/29
HDFS: Is HDFS way behind GFS? If yes, how so?"I left Google in 2008 and have since been using Hadoop, and I'd expect HDFS to still be behind on a few dimensions."

Google

GFS

Hadoop
ãƒªãƒ³ã‚¯
Live Upgrading Thousands of Servers from an Ancient Red Hat Distribution to 10 Year Newer Debian Based One | USENIX
Live Upgrading Thousands of Servers from an Ancient Red Hat Distribution to 10 Year Newer Debian Based One Google maintains many servers and employs a file level sync method with applications running in a different partition than the base Linux distribution that boots the machine and interacts with hardware. This experience report first gives insights on how the distribution is setup, and then tac
oza_x86 2014/08/21
LISA

Google
ãƒªãƒ³ã‚¯
Mesa: Geo-Replicated, Near Real-Time, Scalable Data Warehousing
Philosophy We strive to create an environment conducive to many different types of research across many different time scales and levels of risk. Learn more about our Philosophy Learn more
oza_x86 2014/07/29
Google
ãƒªãƒ³ã‚¯
Containers At Scale // At Google, the Google Cloud Platform and Beyond
How Google uses containers internally and how you can apply those lessons on the Google Cloud Platform and beyond
oza_x86 2014/05/27
Google

container

docker

Linux
ãƒªãƒ³ã‚¯
GitHub - google/lmctfy: lmctfy is the open source version of Googleâ€™s container stack, which provides Linux application containers.
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oza_x86 2014/02/21
lmctfy (pronounced lem-kut-fee) is the open source version of Googleâ€™s container stack, which provides Linux application containers.

Google

Container

lmctfy

lxc
ãƒªãƒ³ã‚¯
Googleã®Javaã‚³ãƒ¼ãƒ‡ã‚£ãƒ³ã‚°è¦ç´„
Spring Bootã«ã‚ˆã‚‹APIãƒãƒƒã‚¯ã‚¨ãƒ³ãƒ‰æ§‹ç¯‰å®Ÿè·µã‚¬ã‚¤ãƒ‰ ç¬¬2ç‰ˆ ä½•åƒäººã‚‚ã®é–‹ç™ºè€…ãŒã€InfoQã®ãƒŸãƒ‹ãƒ–ãƒƒã‚¯ã€ŒPractical Guide to Building an API Back End with Spring Bootã€ã‹ã‚‰ã€Spring Bootã‚’ä½¿ã£ãŸREST APIæ§‹ç¯‰ã®åŸºç¤Žã‚’å¦ã‚“ã ã€‚ã“ã®æœ¬ã§ã¯ã€å‡ºç‰ˆæ™‚ã«æ–°ã—ããƒªãƒªãƒ¼ã‚¹ã•ã‚ŒãŸãƒãƒ¼ã‚¸ãƒ§ãƒ³ã§ã‚ã‚‹ Spring Boot 2 ã‚’ä½¿ç”¨ã—ã¦ã„ã‚‹ã€‚ã—ã‹ã—ã€Spring Boot3ãŒæœ€è¿‘ãƒªãƒªãƒ¼ã‚¹ã•ã‚Œã€é‡è¦ãªå¤‰...
oza_x86 2014/02/21
Java

Google
ãƒªãƒ³ã‚¯
Omega: ï¬‚exible, scalable schedulers for large compute clusters
Omega: ï¬‚exible, scala ble schedulers for large compute clusters Malte Schwarzkopf â€ âˆ— Andy Konwinskiâ€¡ âˆ— Michael Abd-El-MalekÂ§ John WilkesÂ§ â€ University of Cambridge Computer Laboratory â€¡ University of California, Berkeley Â§ Google, Inc. â€ [email protected] â€¡ [email protected] Â§ {mabdelmalek,johnwilkes}@google.com Abstract Increasing scale and the need for rapid response to changing requirements
oza_x86 2013/12/05
YARN

Omega

Google
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