grid computing

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1. Real World Case IBM,Wachov

2. Grid Computing vs Supercom

3. Question Case Study3. Question Case Study

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2. Grid Computing Vs Supercom


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Researchers at the Cancer Institute of New Jersey

have digitized CAT scans, MRIs, and other images using a

high-performance system and computational time on the

World Community Grid, also known as the world’s largest

public computing grid

cerous tissues and cellscerous tissues and cells

earchers have been using the grid to convert hundreds

housands of images of cancerous tissues and cells

digital images

lunteerslunteers

The World Community Grid (WCG) acts as a virtual supercomputer that

thousands of volunteers donating

The next phase of the project is to build a database that

will hold hundreds of thousands, if not millions, of these images

Doctors should be able to use the database to

personalize treatments for cancer patients based onpersonalize treatments for cancer patients based on

how other patients with similar protein expression signatures and cancers

reacted to various treatments




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d Computingd Computing

percomputerpercomputer

Financial services firm Wachovia Corp. has freed some of its

Java-based applications from dedicated

servers and is allowing these transaction applications to draw

i f CPU l computing power from a 10,000-CPU resource pool on servers

spread across cities in the United States and in London.

Wachovia is tapping into computing power that’s availableWachovia is tapping into computing power that s available

on other systems to perform work. That capability

allows companies to avoid dedicated hardware costs and

make better use of underutilized hardware.

PayPal takes Red Hat Enterprise Linux and strips out all features unnecess

to its business, and then adds proprietary

extensions around security. Another virtue of the

grid is that PayPal’s 800 engineers can all get a copy of that customized

system on their development desktops,

run tests on their raw software as they work, and develop to PayPal’s need

faster because they’re working in the target environment faster because they re working in the target environment.

That’s harder to do when the core of

the data center consists of large boxes or mainframes

me other areas that would be well suited to use griing, earthquake simulation, weather forecasting, exer space and school systems that utilize virtual claer space, and school systems that utilize virtual clacomputing is resource sharing to maximize the po

vities. All of these activities require a considerably vide detailed, real-time information (output).

d computing include protein xploring for alien life forms in

assrooms The main idea behindassrooms. The main idea behind ower and abilities of virtual large amount of power (input) to

found at: http://www.technolo

Human Proteome Folding Project – a recent

collaboration between IBM, United Devices, the

Institute for Systems Biology and the University of

Washington – is picking up where the Human

Genome Project left off.

Understanding the form and function of these proteins,

which are at the core of many diseases and the natural

target for many treatment drugs, will ultimately put

h th t h l t d t di h researchers that much closer to understanding why

certain diseases happen and how to treat and cure

them.

ogyreview.com/news/403679/the-protein-grid/

ing@home uses Markov state models, like the one diagrammed odel the possible shapes and folding pathways a protein can takep p g p y p

denses from its initial randomly coiled state (left) into its native 3Dcture (right)

VolunteersVolunteers

running the computations necessary to create such a

catalog could take literally a million years on a state-of-

the-art PC – 50 years if you used a substantially more

powerful commercial 1,000-node cluster computer.

But by ‘borrowing’ unused computing cycles from But by borrowing unused computing cycles from

volunteers who download a program to their PCs – a

la SETI@Home – researchers believe they can get at least

a rough sketch of more than 100,000 proteins before the

end of this year.

here, e as it

D

antage :antage :

Joint upaya yang dilakukan oleh IBInstitut Kanker New Jersey untuk ma volunteer‐based network ( WCG dokter untuk berbagi praktik terbagambar digital kasus , dan terhubudengan profesional yang berpengadengan profesional yang berpengalainnya dengan sistem kolaborasi yfantastis .

M ki d k k b k b kMeskipun dokter kebanyakan beketempat yang berbeda , mereka semmencari tujuan bersama penyembpasien kanker . The “black swan pevent”untuk dokter adalah kematiseorang pasien mana diagnosis atapengobatan yang salah

Disadvantage :Disadvantage :

Seperti halnya upaya kolaborasi , WCG memiliki tantangan yang mencakupkeandalan informasi bersamakeandalan informasi bersama , kapasitas memori , sinkronisasi digital imaging,kesulitan menggabungkan file yang berbeda asal, ke sebuah jaringan

/tunggal /Citrix .




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http://newSupercom

ws.softpedia.com/news/Rent-Your-Own-mputer-for-2-77-per-Hour-82166.shtml

OneInteThe

r Own Supercomputer for $2.77 per Hour

Theprimas wmoSupcomon IntIntits 1be correnat fa wadvadvcosbuisup

http://nSuper

e company that offers this rental service is eractive Supercomputing.ey have a Star P On Demand service that isey have a Star-P On-Demand service that is marily targeted at small and mid-size businesses well as scientific researchers who need access to re powerful computing. Interactive p p gpercomputing offers a scaled access to the grid mputing resources for a variable fee (depending speed required and frequency of access).eractive Supercomputing allows access to any oferactive Supercomputing allows access to any of 168 processor cores on Intel quad chips that can rented on an hourly basis for $2.77 per processor

re per hour. The entire computing grid can be ted for $465 per hour. This may seem expensive

first but for a small to midsize company looking for way to boost productivity and gain that competitive vantage it is worth it This approach is much morevantage, it is worth it. This approach is much more st effective for a small to mid-size company than lding, maintaining, and operating its own

percomputer.

news.softpedia.com/news/Rent-Your-Own-rcomputer-for-2-77-per-Hour-82166.shtml

erbandinganerbandingan IBM , ORACLE,SUN Grid Computing TechnologyIBM , ORACLE,SUN Grid Computing Technology

FeatureFeature IBMIBM

trategic focus Menjual IBM product Menjual

Grid Dapat mengelola seluruh MengatuManagement lingkungan grid dari lapisan in

perangkat keras manajemsampai dengan aplikasil ilapisan

Data Advocates “the logical AdvocateManagement federation of disparate database

databases and data controlsdatabases and data controlstypes”

Middleware/OS Kemitraan dengan jaringan Strategic middleware dan sistem operasi kemitraapenyedia sistem op

ervicesLayanan Berbagai macam desain, Fokus peDeployment, dan deploymjasa manajemen untuk databaselingkungan yang heterogen

OracleOracle SunSun

ORACLE business solutions Menjual java platformdan solaris operating system

r penyimpanan, database, Mengelola lingkungan gridnfrastruktur, dan aplikasi information technology services men melalui Patners dan create the Java programming language,

dan the Network File System (NFS)

es common, single, centralized e used for locking and other

dengan red hat alliance dan Unix system operasi vendorn dengan beberapa Unixperasi vendor

nawaran layanan untuk Fokus penawaran layanan untukent dan optimalisasi Oracle deployment dan optimalisasi java platforme dan Aplikasi database dan Aplikasi solaris

The Surprising Technology EconomUnderstanding the Impact of Your SDr. Howard A. Rubin CEO and Founder, Rubin WorldwideProfessor Emeritus City University oMIT CISR AssociateMIT CISR Associate Gartner Senior Advisor [email protected]

Source : http://www‐03.ibm.com/systems/es/resourc

mics of Mainframe vs. Distributed Servers: Strategy in Real Business Terms

e of New York

m

ces/ZSL03135USEN.pdf

Source : http://www‐03.ibm.com/systems/es/resourcces/ZSL03135USEN.pdf

grid computing

Technology

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p y protein

gridcomputingvs supercomputer

computing power f

folding p p p g pathways

protein ing

virtual supercomputer