SlideShare une entreprise Scribd logo
1  sur  18
PLACEMENT TRAINING
CUM
INTERNSHIP PROGRAM
By -:
Divanker Saxena
1900290310054
Secn A , ECE
INTRODUCTION
We were given just the brief introduction of every topic of the placement required
skills.
4 basic subject were taken up for :
DBMS
1 PROGRAMMING LANGUAGE ( Python )
DSA ( data structures and Algorithms )
QALR ( Qualitative Aptitude And Reasoning )
In presentation ,
one needs to select any technical subject from any branch of engineering ….
And present it .
So here ,
I would be disscusing a topic from DCN
(data communication networks) in this session .
It is a departmental elective for electronics and communication branch of engineering .
ISO/OSI MODEL
Known as OPEN SYSTEM NETWORKS Model
By International Standard Organization
DATA COMMUNICATION STANDARDS
• These are defined to ensure Orderly exchange of data and are of two types as
below -:
• CLOSED SYSTEMS
(confediancially Manufactured and controlled by one company only )
Eg : Apple Macintosh
• OPEN SYSTEMS
(company provides compatible software to everyone )
Eg: IBM Computers
OPEN SYSTEMS
• Layered network structure is used here
• They are of three types –
ISO/OSI ( 7 layered network )
TCP/IP ( 5/4 layered network )
CISCO ( 3 layered network )
ISO/OSI MODEL
Known as OPEN SYSTEM NETWORKS Model
By International Standard Organization
INTRODUCTION
• OSI Model is not a protocol
• It uses 7 layers
• 4 layers are used for Data communication and are linked directly
• Whereas other 3 layers i.e
Physical layer ; network Layer and data link layer does not communicate/linked
directly .
: 7 LAYERS OF OSI
N/W
source Destination
Peer to peer Data communication
Peer to peer Data communication
Peer to peer Data communication
Peer to peer Data communication
D
o
w
n
w
a
r
d
f
l
o
w
U
p
w
a
r
d
f
l
o
w
: Data flows in
downwards order at
SOURCE and upwards
order at DESTINATION
PHYSICAL LAYER :
• Lowest layer in OSI .
• Tx of unstructured bits by using Line Coding , Bit Rate & Bit Synchronization.
• Responsiblities :
1. Types of Tx :
1. baseband 2. Passband
1. Tx Modes :
1. Simplex 2. Duplex
1. Decides Types of Connection
2. Pin Assingments
3. Timings
4. Max & Min Voltages
5. Physical Electrical Mechanical
6. Data unit : unstructured Bits
7. Device :- HUB / Repeaters
8. HUB :
1. active(Repeaters) 2. Passive (connectors)
DATA LINK LAYER :
It is responsible for error free communication and node to node delivery
 It provides
1. Final framing
2. Synchhronization
3. Flow of data
4. Error detection& correction
5. Physical Adressing
 Functions
1. Line Control
2. Flow Control
3. Error Control
Data Unit : Frame
NETWORK LAYER
• Provides the details that enable data to be routed between devices
• Responsiblities :
1. IP Adressing of Source &Destination
2. Routiong
• Data Unit :- Packet
• Device :
1. Adaptable Router
2. Non - Adaptable Router
TRANSPORT LAYER
1. End to end integrity of Data
2. Responsiblities :
 Messsage routing
 Segmenting
 Error recovery
 Mutiplexing
 Highest layer of data communication
3. two types of services :
• Connection oriented
• Connection less
Provides data tracking & connection of low control .
SESSION LAYER
1) Responsiible for network avaiblity and job management
2) Second highest layer of Data Communication
3) Jobs file transfer, network log on & off, &user Authenticatiojn
4) Responsiblities :
Dail Log Control
Synchronizzation
PRESENTATION LAYER
1) Syntax conversion to present the Data
2) Third Highest layer of data communication
3) Format the data .
4) Key Responsiblities :
 Translation
 Encryption
 Compression
APPLICATION LAYER
1) Highest layer in OSI
2) 4th Highest layer of data communication
3) Access the network to OSI
4) Provides distributed information services and controls the activities
5) Two types of service elements :
 CASE (common Applicationn service elements )
 SASE ( Special Application service Elements )
: END OF
“ OSI MODEL ”

Contenu connexe

Similaire à OSI MODEL ppt. - Copy.pptx

Similaire à OSI MODEL ppt. - Copy.pptx (20)

MMI - OSI.ppt
MMI - OSI.pptMMI - OSI.ppt
MMI - OSI.ppt
 
OSI.pptx
OSI.pptxOSI.pptx
OSI.pptx
 
osi.ppt
osi.pptosi.ppt
osi.ppt
 
osi.ppt
osi.pptosi.ppt
osi.ppt
 
osi.ppt
osi.pptosi.ppt
osi.ppt
 
osi.ppt
osi.pptosi.ppt
osi.ppt
 
osi.ppt power point ppt computer network
osi.ppt power point ppt computer networkosi.ppt power point ppt computer network
osi.ppt power point ppt computer network
 
osi.ppt
osi.pptosi.ppt
osi.ppt
 
osi.ppt
osi.pptosi.ppt
osi.ppt
 
OSI transmission model_7layers for communication .ppt
OSI  transmission model_7layers  for communication .pptOSI  transmission model_7layers  for communication .ppt
OSI transmission model_7layers for communication .ppt
 
osi.ppt
osi.pptosi.ppt
osi.ppt
 
Cisco ccna certification knowledge to pass the exam
Cisco ccna certification knowledge to pass the examCisco ccna certification knowledge to pass the exam
Cisco ccna certification knowledge to pass the exam
 
Osi model
Osi modelOsi model
Osi model
 
Osi model 7 Layers
Osi model 7 LayersOsi model 7 Layers
Osi model 7 Layers
 
Dc2 t1
Dc2 t1Dc2 t1
Dc2 t1
 
06 - OSI Model.ppt
06 - OSI Model.ppt06 - OSI Model.ppt
06 - OSI Model.ppt
 
06 - OSI Model.ppt
06 - OSI Model.ppt06 - OSI Model.ppt
06 - OSI Model.ppt
 
BAPANKAR15800121011 SOFT.pptx
BAPANKAR15800121011 SOFT.pptxBAPANKAR15800121011 SOFT.pptx
BAPANKAR15800121011 SOFT.pptx
 
MVA slides lesson 2
MVA slides lesson 2MVA slides lesson 2
MVA slides lesson 2
 
Osi model
Osi modelOsi model
Osi model
 

Dernier

MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsNanddeep Nachan
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfOverkill Security
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native ApplicationsWSO2
 
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot ModelNavi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot ModelDeepika Singh
 
A Beginners Guide to Building a RAG App Using Open Source Milvus
A Beginners Guide to Building a RAG App Using Open Source MilvusA Beginners Guide to Building a RAG App Using Open Source Milvus
A Beginners Guide to Building a RAG App Using Open Source MilvusZilliz
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CVKhem
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...apidays
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyKhushali Kathiriya
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)wesley chun
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...DianaGray10
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProduct Anonymous
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024The Digital Insurer
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoffsammart93
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Zilliz
 

Dernier (20)

MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdf
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot ModelNavi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
A Beginners Guide to Building a RAG App Using Open Source Milvus
A Beginners Guide to Building a RAG App Using Open Source MilvusA Beginners Guide to Building a RAG App Using Open Source Milvus
A Beginners Guide to Building a RAG App Using Open Source Milvus
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
 

OSI MODEL ppt. - Copy.pptx

  • 1. PLACEMENT TRAINING CUM INTERNSHIP PROGRAM By -: Divanker Saxena 1900290310054 Secn A , ECE
  • 2. INTRODUCTION We were given just the brief introduction of every topic of the placement required skills. 4 basic subject were taken up for : DBMS 1 PROGRAMMING LANGUAGE ( Python ) DSA ( data structures and Algorithms ) QALR ( Qualitative Aptitude And Reasoning )
  • 3. In presentation , one needs to select any technical subject from any branch of engineering …. And present it . So here , I would be disscusing a topic from DCN (data communication networks) in this session . It is a departmental elective for electronics and communication branch of engineering .
  • 4. ISO/OSI MODEL Known as OPEN SYSTEM NETWORKS Model By International Standard Organization
  • 5. DATA COMMUNICATION STANDARDS • These are defined to ensure Orderly exchange of data and are of two types as below -: • CLOSED SYSTEMS (confediancially Manufactured and controlled by one company only ) Eg : Apple Macintosh • OPEN SYSTEMS (company provides compatible software to everyone ) Eg: IBM Computers
  • 6. OPEN SYSTEMS • Layered network structure is used here • They are of three types – ISO/OSI ( 7 layered network ) TCP/IP ( 5/4 layered network ) CISCO ( 3 layered network )
  • 7. ISO/OSI MODEL Known as OPEN SYSTEM NETWORKS Model By International Standard Organization
  • 8. INTRODUCTION • OSI Model is not a protocol • It uses 7 layers • 4 layers are used for Data communication and are linked directly • Whereas other 3 layers i.e Physical layer ; network Layer and data link layer does not communicate/linked directly .
  • 9. : 7 LAYERS OF OSI
  • 10. N/W source Destination Peer to peer Data communication Peer to peer Data communication Peer to peer Data communication Peer to peer Data communication D o w n w a r d f l o w U p w a r d f l o w : Data flows in downwards order at SOURCE and upwards order at DESTINATION
  • 11. PHYSICAL LAYER : • Lowest layer in OSI . • Tx of unstructured bits by using Line Coding , Bit Rate & Bit Synchronization. • Responsiblities : 1. Types of Tx : 1. baseband 2. Passband 1. Tx Modes : 1. Simplex 2. Duplex 1. Decides Types of Connection 2. Pin Assingments 3. Timings 4. Max & Min Voltages 5. Physical Electrical Mechanical 6. Data unit : unstructured Bits 7. Device :- HUB / Repeaters 8. HUB : 1. active(Repeaters) 2. Passive (connectors)
  • 12. DATA LINK LAYER : It is responsible for error free communication and node to node delivery  It provides 1. Final framing 2. Synchhronization 3. Flow of data 4. Error detection& correction 5. Physical Adressing  Functions 1. Line Control 2. Flow Control 3. Error Control Data Unit : Frame
  • 13. NETWORK LAYER • Provides the details that enable data to be routed between devices • Responsiblities : 1. IP Adressing of Source &Destination 2. Routiong • Data Unit :- Packet • Device : 1. Adaptable Router 2. Non - Adaptable Router
  • 14. TRANSPORT LAYER 1. End to end integrity of Data 2. Responsiblities :  Messsage routing  Segmenting  Error recovery  Mutiplexing  Highest layer of data communication 3. two types of services : • Connection oriented • Connection less Provides data tracking & connection of low control .
  • 15. SESSION LAYER 1) Responsiible for network avaiblity and job management 2) Second highest layer of Data Communication 3) Jobs file transfer, network log on & off, &user Authenticatiojn 4) Responsiblities : Dail Log Control Synchronizzation
  • 16. PRESENTATION LAYER 1) Syntax conversion to present the Data 2) Third Highest layer of data communication 3) Format the data . 4) Key Responsiblities :  Translation  Encryption  Compression
  • 17. APPLICATION LAYER 1) Highest layer in OSI 2) 4th Highest layer of data communication 3) Access the network to OSI 4) Provides distributed information services and controls the activities 5) Two types of service elements :  CASE (common Applicationn service elements )  SASE ( Special Application service Elements )
  • 18. : END OF “ OSI MODEL ”

Notes de l'éditeur

  1. So lets disscuss here first