Overview of computing paradigm

It Includes:
Recent trends in Computing : Grid Computing, Cluster Computing;Distributed Computing;Utility Computing;Cloud Computing

1. Cloud
Computing
Shree Manibhai Virani and
Smt. Navalben Virani Science
College, Rajkot
(Autonomous)
Affiliated to Saurashtra
University, Rajkot
Module:1.1
Overview of Computing Paradigm
Ms.RipalRanpara
Assistant Professor,
Department of Computer Science & Information Technology
Shree M.N.ViraniScience College Rajkot
Shree Manibhai Virani and
Smt. Navalben Virani Science
College, Rajkot
(Autonomous)
Affiliated to Saurashtra
University, Rajkot
Ripal Ranpara

2. What is Computing
•Theprocessofutilizingcomputertechnologytocompleteatask.
Computingmayinvolvecomputerhardwareand/orsoftware,butmust
involvesomeformofacomputersystem.
•Computingincludes
•designing,
•developingand
•buildinghardwareandsoftwaresystems;
•processing,
•structuring,andmanagingvariouskindsofinformation;
•doingscientificresearchonandwithcomputers;
•entertainmentmedia.
•Theprocessofutilizingcomputertechnologytocompleteatask.
Computingmayinvolvecomputerhardwareand/orsoftware,butmust
involvesomeformofacomputersystem.
•Computingincludes
•designing,
•developingand
•buildinghardwareandsoftwaresystems;
•processing,
•structuring,andmanagingvariouskindsofinformation;
•doingscientificresearchonandwithcomputers;
•entertainmentmedia.
Ripal Ranpara

3. Grid computing
•Gridcomputinginvolvesconnectinggeographicallyremote
computersintoasinglenetworktocreateavirtual
supercomputerbycombiningthecomputationalpowerofall
computersongrid.
•Gridcomputinginvolvesconnectinggeographicallyremote
computersintoasinglenetworktocreateavirtual
supercomputerbycombiningthecomputationalpowerofall
computersongrid.
Ripal Ranpara

4. •"theGrid"linkstogethercomputingresources(PCs,
workstations,servers,storageelements)andprovidesthe
mechanismneededtoaccessthem.
•ByimplementingourproposedIntranetGriditisveryeasyto
downloadmultiplefilesveryfast
•Noneedtoworryaboutthesecurityasweareauthenticating
eachandeverysteptakingplaceinourGrid
•Inparticularusertoaccessthedatabase.Further
implementationscouldbecarriedoutinthenearestfuture
Grid computing
•"theGrid"linkstogethercomputingresources(PCs,
workstations,servers,storageelements)andprovidesthe
mechanismneededtoaccessthem.
•ByimplementingourproposedIntranetGriditisveryeasyto
downloadmultiplefilesveryfast
•Noneedtoworryaboutthesecurityasweareauthenticating
eachandeverysteptakingplaceinourGrid
•Inparticularusertoaccessthedatabase.Further
implementationscouldbecarriedoutinthenearestfuture
Ripal Ranpara

5. WHY GRID COMPUTING?
40%Mainframes are idle
90%Unix servers are idle
95%PC servers are idle
0-15%Mainframes are idle in peak-hour
70%PC servers are idle in peak-hour
40%Mainframes are idle
90%Unix servers are idle
95%PC servers are idle
0-15%Mainframes are idle in peak-hour
70%PC servers are idle in peak-hour
Ripal Ranpara

6. •Clustercomputingisaformofcomputinginwhichagroupof
computersarelinkedtogethersotheycanactlikeasingleentity.
•Itisthetechniqueoflinkingtwoormorecomputersintoa
network(Usuallythroughalocalareanetwork)inordertotake
advantageoftheparallelprocessingpowerofthosecomputers.
Cluster Computing
•Clustercomputingisaformofcomputinginwhichagroupof
computersarelinkedtogethersotheycanactlikeasingleentity.
•Itisthetechniqueoflinkingtwoormorecomputersintoa
network(Usuallythroughalocalareanetwork)inordertotake
advantageoftheparallelprocessingpowerofthosecomputers.
Ripal Ranpara

7. Cluster Application
•Google Search Engine
•Earthquake Simulation Software
•Image Rendering
•Weather Forecasting
Application Benefits
•High processing power
•Cost Efficient
•High Availability
•Fault Tolerance
•Google Search Engine
•Earthquake Simulation Software
•Image Rendering
•Weather Forecasting
•High processing power
•Cost Efficient
•High Availability
•Fault Tolerance
Ripal Ranpara

8. Ripal Ranpara

9. Distributed Computing
•It’sthesolutiontotheproblem
whereyourRAMistoosmalland
yourdataaretoobigand/ortoo
CPU-intensivetobeprocessedona
singlemachine.
•Itsplitabigtaskintosmallertasks
andexecutethemonmultiple
machines
•It’sthesolutiontotheproblem
whereyourRAMistoosmalland
yourdataaretoobigand/ortoo
CPU-intensivetobeprocessedona
singlemachine.
•Itsplitabigtaskintosmallertasks
andexecutethemonmultiple
machines
Ripal Ranpara

10. Advantages Of Distributed
Computing System
•InherentlyDistributedapplications:
severalapplicationsareinherentlydistributedinnatureandrequiredistributed
computingsystemfortheirrealization
•InformationSharingamongDistributedUsers:
Inadistributedcomputingsystem,informationgeneratedbyoneoftheuserscanbe
easilyandefficientlysharedbytheusersworkingatothernodesofthesystem.The
useofdistributedcomputingsystemsbyagroupofuserstoworkcooperativelyis
knownascomputer-supportedcooperativeworking(CSCW),orgroupware.
•ResourceSharing:
Informationisnottheonlythingthatcanbesharedinadistributedcomputing
system.Sharingofsoftwareresourcessuchassoftwarelibrariesanddatabasesas
wellashardwareresourcessuchasprinters,harddisks,andplotterscanalsobe
doneinaveryeffectivewayamongallthecomputersandtheusersofasingle
distributedcomputingsystem.
•InherentlyDistributedapplications:
severalapplicationsareinherentlydistributedinnatureandrequiredistributed
computingsystemfortheirrealization
•InformationSharingamongDistributedUsers:
Inadistributedcomputingsystem,informationgeneratedbyoneoftheuserscanbe
easilyandefficientlysharedbytheusersworkingatothernodesofthesystem.The
useofdistributedcomputingsystemsbyagroupofuserstoworkcooperativelyis
knownascomputer-supportedcooperativeworking(CSCW),orgroupware.
•ResourceSharing:
Informationisnottheonlythingthatcanbesharedinadistributedcomputing
system.Sharingofsoftwareresourcessuchassoftwarelibrariesanddatabasesas
wellashardwareresourcessuchasprinters,harddisks,andplotterscanalsobe
doneinaveryeffectivewayamongallthecomputersandtheusersofasingle
distributedcomputingsystem.
Ripal Ranpara

11. Utility Computing
•Utilitycomputingisaserviceprovisioningmodelinwhichaservice
providermakescomputingresourcesandinfrastructuremanagement
availabletothecustomerasneeded,andchargesthemforspecificusage
ratherthanaflatrate.
•Likeothertypesofon-demandcomputing(suchasgridcomputing),the
utilitymodelseekstomaximizetheefficientuseofresourcesand/or
minimizeassociatedcosts.
•Utilitycomputingisaserviceprovisioningmodelinwhichaservice
providermakescomputingresourcesandinfrastructuremanagement
availabletothecustomerasneeded,andchargesthemforspecificusage
ratherthanaflatrate.
•Likeothertypesofon-demandcomputing(suchasgridcomputing),the
utilitymodelseekstomaximizetheefficientuseofresourcesand/or
minimizeassociatedcosts.
Ripal Ranpara

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14. Evaluation of Cloud Computing
Ripal Ranpara

15. Evolution of Cloud Computing
•Network-based
subscriptions to
applications
•Anytime, anywhere
access to virtualized
IT resources
delivered
dynamically as a
service.
Software as a Service
Utility Computing
Cloud Computing
Grid Computing
•Solving large
problems with
parallel computing
•Network-based
subscriptions to
applications
•Offering computing
resources as a
metered service
•Anytime, anywhere
access to virtualized
IT resources
delivered
dynamically as a
service.
Grid Computing
Ripal Ranpara

16. Business Drivers for Cloud
Businessgrowth
•Businessgrowthisoneofthetopbenefitsorganisationsrealiseasaresultofcloudadoption,
with52%ofenterprisesreportingincreasedgrowthsincegoingcloud(2015CloudEnterprise
Report).
2. Efficiency
•Efficiencyisanextremelycommonclouddriver,with71%oforganisationsworldwide
rankingitatopareatheyhopetoapprovethroughcloudtechnology(2015CloudEnterprise
Report).
3.Experience
•Nextamongthebusinessdriversisimprovingthequalityofthecustomerexperience,which
45%ofenterprisesworldwiderankasatopclouddriver(althoughthatnumberjumpsto61%
lookingatonlyorganisationsintheUKandAustralia).
4. Assurance
•Finally, there is assurance, which is the idea that data will be more secure in the cloud and the
user will attain better uptime because its solutions are maintained by providers that have built
their businesses around these competencies.
Businessgrowth
•Businessgrowthisoneofthetopbenefitsorganisationsrealiseasaresultofcloudadoption,
with52%ofenterprisesreportingincreasedgrowthsincegoingcloud(2015CloudEnterprise
Report).
2. Efficiency
•Efficiencyisanextremelycommonclouddriver,with71%oforganisationsworldwide
rankingitatopareatheyhopetoapprovethroughcloudtechnology(2015CloudEnterprise
Report).
3.Experience
•Nextamongthebusinessdriversisimprovingthequalityofthecustomerexperience,which
45%ofenterprisesworldwiderankasatopclouddriver(althoughthatnumberjumpsto61%
lookingatonlyorganisationsintheUKandAustralia).
4. Assurance
•Finally, there is assurance, which is the idea that data will be more secure in the cloud and the
user will attain better uptime because its solutions are maintained by providers that have built
their businesses around these competencies.
Ripal Ranpara

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