سحاب (cloud) , علم (science)
عکس استخراج شده از فایلpptx با موضوع: سحاب (cloud) , علم (science)

اسلاید پاورپوینت: سحاب (cloud) ، علم (science) و کل (total)…

 

عناوین اصلی استخراج شده از این فایل پاورپوینت

عناوین اصلی استخراج شده از این فایل پاورپوینت

● Abstract
● Topics Covered
● Some Trends
● Some Data sizes
● Clouds Offer From different points of view
● Jobs v. Countries
● McKinsey Institute on Big Data Jobs
● Some Sizes in 2010
● Some Sizes Cloud v HPC
● ۲ Aspects of Cloud Computing:
Infrastructure and Runtimes
● Infrastructure, Platforms, Software as a Service
● Science Computing Environments
● Clouds HPC and Grids
● What Applications work in Clouds
● ۲۷ Venus-C Azure Applications
● Parallelism over Users and Usages
● Internet of Things and the Cloud
● Sensors (Things) as a Service
● Classic Parallel Computing
● ۴ Forms of MapReduce
● Commercial “Web 2.0” Cloud Applications
● Data Analytics Futures?
● Clouds as Support for Data Repositories?
● Architecture of Data Repositories?
● Traditional File System?
● Data Parallel File System?
● What is Data Analytics and
Data Science?
● Data Analytics/Science
● Computational Science
● Data Science General Remarks I
● Data Science General Remarks II
● Informatics at Indiana University
● Original Informatics Faculty at IU
● Largely Applied Computer Science
● Largely Core Computer Science
● Informatics Job Titles
● Undergraduate Cognates
● Data Science at Indiana University
● Massive Open Online Courses (MOOC)
● I400 X-Informatics (MOOC)
● FutureGrid key Concepts I
● FutureGrid key Concepts II
● FutureGrid Grid supports Cloud Grid HPC Computing Testbed as a Service (aaS)
● Compute Hardware
● FutureGrid Partners
● Recent Projects
● ۴ Use Types for FutureGrid TestbedaaS
● Research Computing as a Service
● Expanding Resources in FutureGrid
● Conclusions

نوع زبان : انگلیسی حجم : ۷٫۳۴ مگا بایت
نوع فایل : اسلاید پاورپوینت تعداد اسلایدها: ۷۰ صفحه
زمان استخراج مطلب : ۲۰۱۸/۱۱/۰۲ ۰۸:۵۲:۴۸ پسوند فایل : pptx

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در صورتی که محتوای فایل ارائه شده با عنوان مطلب سازگار نبود یا مطلب مذکور خلاف قوانین کشور بود لطفا در بخش دیدگاه (در پایین صفحه) به ما اطلاع دهید. جهت جستجوی پاورپوینت های بیشتر بر روی اینجا کلیک کنید.

این مطلب در تاریخ ۲۰۱۸/۱۱/۰۲ ۰۸:۵۲:۴۸ به صورت خودکار استخراج شده است. در صورت اعلام عدم رضایت تهیه کننده ی آن، طبق قوانین سایت از روی وب گاه حذف خواهد شد. همچنین این مطلب برگرفته از وب سایت زیر است و مسئولیت انتشار آن با منبع اصلی است.

http://dsc.soic.indiana.edu/presentations/Minnesota-Oct19-2012.pptx

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بخشی از محتوای متن استخراج شده از این فایل ppt

big data in research and education symposium on big data science and engineering metropolitan state university minneapolis st. paul minnesota october ۱۹ ۲ ۱۲ geoffrey fox gcf@indiana.edu informatics computing and physics indiana university bloomington https portal.futuregrid.org ۱ abstract we discuss the sources of data from biology and medical science to particle physics and astronomy to the internet with implications for discovery and challenges for analysis. we describe typical data analysis computer architectures from high performance computing to the cloud. on education we look at interdisciplinary programs from computational science to flavors of informatics. the possibility of data science as an academic discipline is looked at in detail as is the program in informatics at indiana university. ۲ https portal.futuregrid.org ۲ topics covered broad overview data deluge to clouds clouds grids and hpc cloud applications analytics and parallel computing on clouds and hpc data analytics architectures data science and data analytics informatics at indiana university futuregrid computing testbed as a service conclusions ۳ https portal.futuregrid.org broad overview data deluge to clouds ۴ https portal.futuregrid.org some trends the data deluge is clear trend from commercial amazon e commerce community facebook search and scientific applications light weight clients from smartphones tablets to sensors multicore reawakening parallel computing exascale initiatives will continue drive to high end with a simulation orientation clouds with cheaper greener easier to use it for some applications new jobs associated with new curricula clouds as a distributed system classic cs courses data analytics important theme in academia and industry network web science ۵ https portal.futuregrid.org ۵ some data sizes ~۴ ۱ ۹ web pages at ~۳ kilobytes each ۱ petabytes youtube ۴۸ hours video uploaded per minute in ۲ months in ۲ ۱ uploaded more than total nbc abc cbs ~۲.۵ petabytes per year uploaded lhc ۱۵ petabytes per year radiology ۶۹ petabytes per year square kilometer array telescope will be ۱ terabits second earth observation becoming ~۴ petabytes per year earthquake science – few terabytes total today polargrid – ۱ ’s terabytes year exascale simulation data dumps – terabytes second ۶ https portal.futuregrid.org ۶ why need cost effective computing full personal genomics ۳ petabytes per day https portal.futuregrid.org ۷ clouds offer from different points of view features from nist on demand service elastic broad network access resource pooling flexible resource allocation measured service economies of scale in performance and electrical power green it powerful new software models platform as a service is not an alternative to infrastructure as a service – it is instead an incredible valued added amazon is as much paas as azure ۸ https portal.futuregrid.org jobs v. countries ۹ https portal.futuregrid.org mckinsey institute on big data jobs there will be a shortage of talent necessary for organizations to take advantage of big data. by ۲ ۱۸ the united states alone could face a shortage of ۱۴ to ۱۹ people with deep analytical skills as well as ۱.۵ million managers and analysts with the know how to use the analysis of big data to make effective decisions. ۱ https portal.futuregrid.org some sizes in ۲ ۱ http www.mediafire.com file zzqna۳۴۲۸۲frr۲f koomeydatacenterelectuse۲ ۱۱finalversion.pdf ۳ million servers worldwide google had ۹ servers ۳ total world wide google total power ~۲ megawatts ۱ of total power used in data centers google more efficient than average – clouds are green ~ . ۱ of total power used on anything world wide maybe total clouds are ۲ total world server count a growing fraction ۱۱ https portal.futuregrid.org some sizes cloud v hpc top supercomputer sequoia blue gene q at llnl ۱۶.۳۲ petaflop s on the linpack benchmark using ۹۸ ۳ ۴ cpu compute chips with ۱.۶ million processor cores and ۱.۶ petabyte of memory in ۹۶ racks covering an area of about ۳ square feet ۷.۹ megawatts power largest cloud computing data centers ۱ servers at ~۲ watts per cpu chip up to ۳ megawatts power so largest supercomputer is around ۱ ۲ performance of total cloud computing systems with google ~۲ total ۱۲ https portal.futuregrid.org clouds grids and hpc ۱۳ https portal.futuregrid.org ۲ aspects of cloud computing infrastructure and runtimes cloud infrastructure outsourcing of servers computing data file space utility computing etc.. cloud runtimes or platform tools to do data parallel and other computations. valid on clouds and traditional clusters apache hadoop google mapreduce microsoft dryad bigtable chubby and others mapreduce designed for information retrieval but is excellent for a wide range of science data analysis applications can also do much traditional parallel computing for data mining if extended to support iterative operations data parallel file system as in hdfs and bigtable https portal.futuregrid.org ۱۴ infrastructure platforms software as a service software services are building blocks of applications the middleware or computing environment nimbus eucalyptus openstack opennebula cloudstack ۱۵ https portal.futuregrid.org ۱۵ science computing environments large scale supercomputers – multicore nodes linked by high performance low latency network increasingly with gpu enhancement suitable for highly parallel simulations high throughput systems such as european grid initiative egi or open science grid osg typically aimed at pleasingly parallel jobs can use cycle stealing classic example is lhc data analysis grids federate resources as in egi osg or enable convenient access to multiple backend systems including supercomputers portals make access convenient and workflow integrates multiple processes into a single job specialized visualization shared memory parallelization etc. machines ۱۶ https portal.futuregrid.org clouds hpc and grids synchronization communication performance grids clouds classic hpc systems clouds naturally execute effectively grid workloads but are less clear for closely coupled hpc applications classic hpc machines as mpi engines offer highest possible performance on closely coupled problems likely to remain in spite of amazon cluster offering service oriented architectures portals and workflow appear to work similarly in both grids and clouds may be for immediate future science supported by a mixture of clouds – some practical differences between private and public clouds – size and software high throughput systems moving to clouds as convenient grids for distributed data and access supercomputers mpi engines going to exascale https portal.futuregrid.org ۱۷ cloud applications ۱۸ https portal.futuregrid.org what applications work in clouds pleasingly moving to modestly parallel applications of all sorts with roughly independent data or spawning independent simulations long tail of science and integration of distributed sensors commercial and science data analytics that can use mapreduce some of such apps or its iterative variants most other data analytics apps which science applications …

کلمات کلیدی پرکاربرد در این اسلاید پاورپوینت: سحاب (cloud), علم (science), کل (total), استعمال (application),

این فایل پاورپوینت شامل ۷۰  اسلاید و به زبان انگلیسی و حجم آن ۷٫۳۴ مگا بایت است. نوع قالب فایل pptx بوده که با این لینک قابل دانلود است. این مطلب برگرفته از سایت زیر است و مسئولیت انتشار آن با منبع اصلی می باشد که در تاریخ ۲۰۱۸/۱۱/۰۲ ۰۸:۵۲:۴۸ استخراج شده است.

http://dsc.soic.indiana.edu/presentations/Minnesota-Oct19-2012.pptx

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