Flow models

1. Unit– III

2. FLOW MODELS
 A data flow model may also be known as a Data Flow Diagram
(DFD)/dataflowchart(DFC)/ Data FlowModeling(DFM).
 A graphical representation / Diagrammatic representation of the
flow.
 Isusedexchangeofinformationwithina system.
 Howdatamovesthroughaninformationsystem(connecteddevice).
 The process involved in transferring data from input to file storage
andreportsgeneration.
 Example: Takes business processes and activities and uses them to
createa clearillustrationofhowdataflowsthrougha system.

3. FLOW MODELS
 Groups of flows/communication that exhibit specific
source and destination.
 peer-to-peer
 client-server
 hierarchical client-serverand
 distributed computing.

4. peer-to-peer
 FIRST FLOWMODEL.
 P2P:To allowcertain filesand folderstobesharedwith
everyone or withselectedusers.
 It is a distributed application architecture that partitions
tasksor workloadsbetweenpeers.
 which include facilitating communications, Sharing
hardwareand alsodata&information.
 Theflowsin a peer-to-peerflowmodelareequivalent.
 Eitheralloftheflows/Noneofflowsiscritical.

5. peer-to-peerflow model

6. An exampleof peer to peer flows in theearly internet

7. peer-to-peer flow model
 Early internetapplication like FTP, TELNET.
 Each device in thenetwork has source and destination.
 Advantages:
 File sharing applications and
 Remote application anywhere device can communication
directly.
 Peer – to – peer gives equal access to each other.

8. peer-to-peerflow model
 Example :
 File sharing and remote applications
 FTP
 Multimedia(audio, video)
 Tele - Services Applications such as
 TELE-SERVICES
 TELE-CONFERENCING
 TELE-LEARNING

9. peer-to-peer flows in Tele -Learning environment
Example:
Numberofusers(students) Receiving andTransmitting.(ONLINECUSTOMERSUPPORT)

10. Client–ServerFlow Model
 SECOND FLOWMODEL.
 Two-Tier architecture.
 Client:sends requests to servers.(Request)
 Server: waits for incoming requests. (Response)
 Client – server model (many-to-one relationship between
clientandserver)
 flowsareasymmetric.
 ADV: To transmit information to multiple clients
concurrently.

11. Client – Server Flow Model
 Itisgenerallyapplicablemodel.
 Ithas adistributedapplicationstructure(onetomany) .
 Itsupportsbothdirectionality(bi-directional).
 flowsarebi-directionalitybetweentheclientand server.
 That partitions tasks or workloads between the providers
of a resource or service, called servers, and service
requesters,calledclients.

12. Client – Server Flow Model

13. Client–ServerFlow Model
 Example :
 ERP applications(Enterprise resource planning)
 SAP Applications.
 WEB Applications.
 E-Commerce Applications such as
 ELECTRONICFUNDS TRANSFER,
 SUPPLYCHAIN MANAGEMENT,
 INTERNETMARKETING,
 ONLINETRANSACTIONPROCESSING,
 ELECTRONICDATA INTERCHANGE(EDI),
 INVENTORYMANAGEMENTSYSTEMS.

14. an example ofclient server flows
Example : video server

15. video server
 VIDEOSERVER:
 One type of the server.
 It store video to be edited.
 Client requests to that server for video to edit,
 server passes video to client,
 it sent back up to the server upon completion.

16. Hierarchical Client Server
 THIRD FLOWMODEL.
 Three– TierArchitecture.
 It has the characteristics of a client–server flow model but
alsohas multiplelayers or tiersbetweentheservers.
 Hierarchical client : when multiple applications work
togetherand shareinformationtoaccomplishatask.
 multiple client–server applications are managed by a
higher-levelapplication(Globalmanager).

17. A Hierarchical Client Server Flow Model

18. Hierarchical Client Server Flow Model
 Ex: updatea commondatabaseor share databetween
applications.
 GlobalServer /Regionalserver/ Controller/DBmanager.
 multiple access across multiple devices.
 Two flows between the servers(application/web/DB).

19. Hierarchical Client Server Flow Model
APPLICAIONS:
Visualof scientific simulations
○ Eliminating modeling.
○ Fluid flow analysis.
○ Structural analysis.
 climatesimulation& modeling problem:
 Consistingofmultipleparts.
○ Atmosphere.
○ Earth.
○ Ocean.

20. components of a climate modeling problem

21. components of a climate modeling problem
 Each part of simulation developed on a separate
computingdeviceanddifferentlocations.
 Boundariesbetweenatmosphereeach
 Ocean, earth data must be passed between the
computing/visualizationserversforeachother.

22. Components of a climate modeling problem

23. Distributed Computing
 FOURTH FLOW MODEL
 Definition: A distributed system is a software system in which
components located on networked computers communicate
and coordinate their actionsby passing messages.
 The most specialized flow models.
 A distributed-computing flow model can have the inverse of
the characteristics of the client– server flow model, or a hybrid
of peer-to-peer andclient–server flow models.

24. Distributed Computing
 Flows may be primarily between a (resource
manager/task manager/server) and its computing
device.
 Messagepassing mechanism:
 RPCmechanism.
 Messagequeuingmechanism.

25. A distributed computing flow model

26. Flows for a parallel computing
 Parallel processing system behaves like the distributed
computingflowmodel.
 Where each task is subdivided based on the degree of
parallelism application and the topology of the problem,
amongseveralcomputingdevices.
 These devices work concurrently on the problem,
Exchanginginformationwithneighbor devices.
 Ex: the task manager sets up the computing devices and
startsthetaskwith aninitialization.

27. Flows for a parallel computing

28. Thank You