grid computing presentation

7/18/2019 grid computing presentation

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Seminar Presented By

Sehar Sultan

M.Sc (CS)

4th Semester

UAF

7/8/15



Grid Comutin!



Overview

1

• W h a t i s g r i d c o m p u t i n g ?

"

• A r e a s o f g r i d c o m p u t i n g

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• W h y g r i d c o m p u t i n g ?

4

• G r i d A r c h i t e c t u r e

5 • W h o u s e t h e g r i d c o m p u t i n g ?

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• P r o s a n d c o n s o f G r i d C o m p u t i n g



Introduction

• Grid computing is a processor architecture

that combines the computer resources from

multiple locations (various domains) to reach amain Objective

• !he Objective is to share a computing po"er

and data storage capacity over the internet



What is Grid Computing?

#Allo"s sharing and coordinated use of diverse

resources in dynamic$ distributed #virtual

organi%ations&



What is Grid?

% Distributed' Grid computing is distributed

form of net"oring that focus on

communications among devices



What is Grid?

Dynamic: Efficiently utilizewasted cycles, forming

woring cycles!



A !rid uses the resources o& man'

searate comuters connected ' a

netor* (usuall' the +nternet) to sol,elar!e-scale comutation rolems.

Such arran!ements ermit handlin! o&

data that ould otherise reuire theoer o& eensi,e suercomuters or

ould ha,e een imossile to anal'0e.



conventional supercomputers

Suercomuter



"he World Grid areas

• #usiness $reas

•Go%ernment &rganization

• 'inancial &rganization

• "eachers and educators (E learning)

•*ocial scientists



Some Highly-Visible Grids

• A chemist ma' utili0e hundreds o&

rocessors to screen thousands o&

comounds er hour.

• eams o& en!ineers orldide ool

resources to anal'0e tera'tes o&

structural data.

• Meteorolo!ists see* to ,isuali0e and

anal'0e data o& climate ith enormouscomutational demands.

• he 2ASA +n&ormation 3oer Grid (+3G).



Why Grid computing



Why Grid Computing?

• +esource sharing: Global sharing is the essence of grid

computing!

• *ecure access:

"o ensure secure access, grid de%elopers and users need to

manage three important things:

$ccess policy What is shared? Who is allo"ed to share?

When can sharing occur?

$uthentication o" do you identify a user or resource?

$uthorization o" do you determine "hether a certain

operation is consistent "ith the rules?



Why Grid Computing(cont!!)

• +esource use: Efficient, balanced use of computing

resources

• "he death of distance: Distance should mae no

difference

• &pen standards: *tandardi%ation also encourages industry

to invest in developing commercial grid ser%ices and

infrastructure!



Grid Architecture



-ayers!!



Grid $rchitecture

+undamental components of a grid,s Architecture'

• "he .ardware:

A grid depends on underlying hard"are lie computers and

net"ors

• "he /iddleware:

-iddle"are is the .glue. that maes grid computing possible-iddle"are is conceptually .in the middle. of operating

systems soft"are (lie Windo"s or /inu0) and applications

soft"are (lie a "eather forecasting programme)



Woring of -ayers

• 0etwor -ayer: !he lo"est layer is the networ $ "hich connects grid

resources

• +esource -ayer: Above the net"or layer lies the resource layer'

actual grid resources$ such as computers$ storage systems$ electronic data

catalogues$ sensors and telescopes that are connected to the net"or

• !he middleware layer connect front end "ith bac end

• $pplication: !he highest layer of the structure is the application layer$

"hich includes applications in science$ engineering$ business$ finance

and more$ as "ell as portals and development toolits to support the

applications !his is the layer that grid users .see. and interact "ith



Some Grid Applications



istriuted suercomutin!



ifference between

istributive!"arallel!Cluster ! Cloud and

Grid Computing



istributive Computing

1istributive

Computing can be

defined as the use of a

distributed system tosolve a single large

problem by breaing it

do"n into several tass

"here each tas is

computed in the

individual computers

of the distributed

system



"arallel

Computing2n Parallel Computing$all the different

.processor. have the

access to a shared

memory1arallelism is

generally concerned

"ith accomplishing a

particular computation

as fast as possible$

e0ploiting multiple

processors



Cluster

ComputingA computer cluster is agroup of loosely

coupled computers

that "or together

closely so that in manyrespects it can be

vie"ed as though it

"ere a single

computer

Clusters are

commonly connected

through fast local area

net"ors



Cloud Computing

Cloud computing is

the use of computing

resources (hard"are

and soft"are) that aredelivered as a service

over a net"or



"ros and cons of gridcomputing



$d%antages

• Can solve larger$ more comple0 problems in a

shorter time

• Grid computing can create a more robust andresilient 2! infrastructure better able to respond to

minor or major disasters

• +le0ible$ *ecure$ Coordinated resource sharing

• Give "orld"ide access to a net"or of distributed

resources



Disad%antages

• 3eed for interoperability "hen different

groups "ant to share resources

• 4ut ho" do 2 develop robust$ secure$ longlived$ "ell performing applications for

dynamic$ heterogeneous Grids?



CO#C$%S&O#



Grid computing introduces a ne" concept to 2!

infrastructures because it supports distributed computing over

a net"or of heterogeneous resources and is enabled by open

standards

Grid computing "ors to optimi%e underutili%ed resources$

decrease capital e0penditures$ and reduce the total cost of

o"nership

grid computing presentation

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