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- Timestamp:
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Nov 9, 2010, 8:14:39 PM (15 years ago)
- Author:
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jazz
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9 | 9 | * [http://www.informationweek.com/news/galleries/hardware/utility_ondemand/showArticle.jhtml?articleID=225702931&pgno=11&isPrev= Slideshow: Amazon's Case For Enterprise Cloud Computing] |
10 | 10 | * [[Image(http://i.cmpnet.com/informationweek/galleries/automated/463/11-Server-Cost_full.JPG)]] |
| 11 | * 電力與冷卻所產生的成本約佔 34% (電力 13%,配電與冷卻 21%),僅次於採購硬體的成本 54%。 |
11 | 12 | * [[Image(http://i.cmpnet.com/informationweek/galleries/automated/463/7-Top-Myths-II_full.JPG)]] |
| 13 | * 雲端的六大迷思 |
12 | 14 | |
13 | 15 | * [http://www.pcworld.com/businesscenter/article/209632/hopkins_to_build_data_analysis_super_machine.html Hopkins to Build Data Analysis Super Machine] - 約翰霍普金斯大學打造資料探勘專屬超級電腦,而且獲得[http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1040114 美國國科會(NSF)挹注美金兩百萬($2,087,760)]。現在著重的將不再只是 FLOPS,還要講究 IOPS。 |
14 | 16 | {{{ |
15 | | Disregarding the supercomputing community's insatiable thirst for FLOPS (floating point operations per second), |
16 | | the Baltimore-based Johns Hopkins University is configuring its new machine to achieve the maximum number of |
| 17 | Disregarding the supercomputing community's insatiable thirst for FLOPS |
| 18 | (floating point operations per second), the Baltimore-based Johns Hopkins |
| 19 | University is configuring its new machine to achieve the maximum number of |
17 | 20 | IOPS (I/O operations per second) instead. |
18 | 21 | }}} |