SlideShare a Scribd company logo
LAN, WAN, MAN
LAN(Local Area Network)
• It is privately-owned network within single building or
campus of up to a few kilometres in size.
• They are widely used to connect computers and workstations
in company offices and factories to share resources and
exchange information.
• LANs are easy to design and troubleshoot.
• In LAN, all the machines are connected to a single cable.
• Different types of topologies such as Bus, Ring, Star and Tree
are used.
• Earlier the data rates for LAN range from 4 to 16 MBPS.
• Now, speeds are normally 100 or 1000 MBPS.
• They exist in limited geographical area.
• Connectivity and resources, especially the transmission media,
usually are managed by the company which is running the
LAN.
WAN(Wide Area Network)
• WAN, spans a large area, often a country or continent.
• It contains a large collection of machines intended for running
user programs. These machines are knows as Hosts.
• These hosts are connected by a communication subnet.
• In most WAN, the subnet consists of two distinct components:
transmission lines and switching elements.
• The communication between different users of WAN is
established using leased telephone lines or satellite links and
similar channels.
MAN(Metropolitan Area network)
• MAN covers a city. The best known example of MAN is the
cable television network available in many cities.
• A MAN is basically a larger version of a LAN and normally
uses similar technology.
• It covers a large geographical area and may serve as an
ISP(Internet Service Provider).
• It is costly and may or may not be owned by single
organization.
Thank You

More Related Content

What's hot

difference between hub, bridge, switch and router
difference between hub, bridge, switch and routerdifference between hub, bridge, switch and router
difference between hub, bridge, switch and router
Akmal Cikmat
 
Introduction to computer networks
Introduction to computer networksIntroduction to computer networks
Introduction to computer networks
Haider Ali Malik
 
Drive test using tems investation 16.1
Drive test using tems investation 16.1Drive test using tems investation 16.1
Drive test using tems investation 16.1
Md Joynal Abaden
 
High speed lan
High speed lanHigh speed lan
High speed lan
ramya marichamy
 
Modem
ModemModem
Drive Test Using Tems Investation 16
Drive Test Using Tems Investation 16Drive Test Using Tems Investation 16
Drive Test Using Tems Investation 16
Md Joynal Abaden
 
Type of computer network
Type of computer networkType of computer network
Type of computer network
TapashRoy16
 
Computer networking anjalisingh1
Computer networking anjalisingh1Computer networking anjalisingh1
Computer networking anjalisingh1
perfectoanjali22
 
Types of-networks
Types of-networksTypes of-networks
Types of-networks
StudsPlanet.com
 
Data communication
Data communicationData communication
Data communication
Abdul Rehman
 
Multiplexing in mobile computing
Multiplexing in mobile computingMultiplexing in mobile computing
Multiplexing in mobile computing
ZituSahu
 
Computer networking
Computer networkingComputer networking
Computer networking
Abdul Rehman
 
Lecture #5 Data Communication and Network
Lecture #5 Data Communication and NetworkLecture #5 Data Communication and Network
Lecture #5 Data Communication and Network
vasanthimuniasamy
 
Wireless LAN technologies
Wireless LAN technologiesWireless LAN technologies
Wireless LAN technologies
balasubramani p
 
Introduction to computer network
Introduction to computer networkIntroduction to computer network
Introduction to computer network
Online
 
Wide Area Network (WAN)
Wide Area Network (WAN)Wide Area Network (WAN)
Wide Area Network (WAN)
Claisse Martinez
 
Radio network optimization flow 20090429-a-4.0
Radio network optimization flow 20090429-a-4.0Radio network optimization flow 20090429-a-4.0
Radio network optimization flow 20090429-a-4.0
Mashaal322
 
Network
NetworkNetwork
Network
Asad Ali
 
Umts system architecture
Umts system architectureUmts system architecture
Umts system architecture
Midhun S
 
Drive Test
Drive TestDrive Test
Drive Test
Tempus Telcosys
 

What's hot (20)

difference between hub, bridge, switch and router
difference between hub, bridge, switch and routerdifference between hub, bridge, switch and router
difference between hub, bridge, switch and router
 
Introduction to computer networks
Introduction to computer networksIntroduction to computer networks
Introduction to computer networks
 
Drive test using tems investation 16.1
Drive test using tems investation 16.1Drive test using tems investation 16.1
Drive test using tems investation 16.1
 
High speed lan
High speed lanHigh speed lan
High speed lan
 
Modem
ModemModem
Modem
 
Drive Test Using Tems Investation 16
Drive Test Using Tems Investation 16Drive Test Using Tems Investation 16
Drive Test Using Tems Investation 16
 
Type of computer network
Type of computer networkType of computer network
Type of computer network
 
Computer networking anjalisingh1
Computer networking anjalisingh1Computer networking anjalisingh1
Computer networking anjalisingh1
 
Types of-networks
Types of-networksTypes of-networks
Types of-networks
 
Data communication
Data communicationData communication
Data communication
 
Multiplexing in mobile computing
Multiplexing in mobile computingMultiplexing in mobile computing
Multiplexing in mobile computing
 
Computer networking
Computer networkingComputer networking
Computer networking
 
Lecture #5 Data Communication and Network
Lecture #5 Data Communication and NetworkLecture #5 Data Communication and Network
Lecture #5 Data Communication and Network
 
Wireless LAN technologies
Wireless LAN technologiesWireless LAN technologies
Wireless LAN technologies
 
Introduction to computer network
Introduction to computer networkIntroduction to computer network
Introduction to computer network
 
Wide Area Network (WAN)
Wide Area Network (WAN)Wide Area Network (WAN)
Wide Area Network (WAN)
 
Radio network optimization flow 20090429-a-4.0
Radio network optimization flow 20090429-a-4.0Radio network optimization flow 20090429-a-4.0
Radio network optimization flow 20090429-a-4.0
 
Network
NetworkNetwork
Network
 
Umts system architecture
Umts system architectureUmts system architecture
Umts system architecture
 
Drive Test
Drive TestDrive Test
Drive Test
 

Similar to LAN, WAN, MAN

Lan, wan, man mcwc
Lan, wan, man mcwcLan, wan, man mcwc
Lan, wan, man mcwc
ShaishavShah8
 
Ashique latif
Ashique latifAshique latif
Types of-networks
Types of-networksTypes of-networks
Types of-networks
niraj singh
 
Types of-networks(1)
Types of-networks(1)Types of-networks(1)
Types of-networks(1)
Claynold Stegee
 
Types of computer network
Types of computer networkTypes of computer network
Types of computer network
Amit Shaw
 
Computer network
Computer networkComputer network
Computer network
Tawseef Rather
 
Typesofcomputer 130403035730-phpapp02
Typesofcomputer 130403035730-phpapp02Typesofcomputer 130403035730-phpapp02
Typesofcomputer 130403035730-phpapp02
kkhan745
 
Chapter lan man wan the different aa
Chapter lan man wan the different aaChapter lan man wan the different aa
Chapter lan man wan the different aa
Dhani Ahmad
 
Computer Network Types.pptx
Computer Network Types.pptxComputer Network Types.pptx
Computer Network Types.pptx
ADITIRAMTEKE1
 
A presentation on types of network
A presentation on types of networkA presentation on types of network
A presentation on types of network
SUSHANT RATHOR
 
Computer networks
Computer networksComputer networks
Computer networks
Himadri khali
 
COMPUTER NETWORKs.pptx
COMPUTER NETWORKs.pptxCOMPUTER NETWORKs.pptx
COMPUTER NETWORKs.pptx
Arya902227
 
Dc lec-04 (categories of network)
Dc lec-04 (categories of network)Dc lec-04 (categories of network)
Dc lec-04 (categories of network)
diaryinc
 
TYPES OF NETWORKS
TYPES OF NETWORKSTYPES OF NETWORKS
TYPES OF NETWORKS
sangeeta saini
 
Computer Network
Computer NetworkComputer Network
Computer Network
JahnaviBhagat
 
LAN's And MAN's
LAN's And MAN'sLAN's And MAN's
LAN's And MAN's
Barkha Gupta
 
Computer Network Types.pptx
Computer Network Types.pptxComputer Network Types.pptx
Computer Network Types.pptx
AshokRachapalli1
 
Computer networks
Computer networksComputer networks
Computer networks
MD Khan
 
Communication Technology- The Internet Networking
Communication Technology- The Internet NetworkingCommunication Technology- The Internet Networking
Communication Technology- The Internet Networking
Faindra Jabbar
 
Types of cn, protocols and standards
Types of cn, protocols and standardsTypes of cn, protocols and standards
Types of cn, protocols and standards
bhavanatmithun
 

Similar to LAN, WAN, MAN (20)

Lan, wan, man mcwc
Lan, wan, man mcwcLan, wan, man mcwc
Lan, wan, man mcwc
 
Ashique latif
Ashique latifAshique latif
Ashique latif
 
Types of-networks
Types of-networksTypes of-networks
Types of-networks
 
Types of-networks(1)
Types of-networks(1)Types of-networks(1)
Types of-networks(1)
 
Types of computer network
Types of computer networkTypes of computer network
Types of computer network
 
Computer network
Computer networkComputer network
Computer network
 
Typesofcomputer 130403035730-phpapp02
Typesofcomputer 130403035730-phpapp02Typesofcomputer 130403035730-phpapp02
Typesofcomputer 130403035730-phpapp02
 
Chapter lan man wan the different aa
Chapter lan man wan the different aaChapter lan man wan the different aa
Chapter lan man wan the different aa
 
Computer Network Types.pptx
Computer Network Types.pptxComputer Network Types.pptx
Computer Network Types.pptx
 
A presentation on types of network
A presentation on types of networkA presentation on types of network
A presentation on types of network
 
Computer networks
Computer networksComputer networks
Computer networks
 
COMPUTER NETWORKs.pptx
COMPUTER NETWORKs.pptxCOMPUTER NETWORKs.pptx
COMPUTER NETWORKs.pptx
 
Dc lec-04 (categories of network)
Dc lec-04 (categories of network)Dc lec-04 (categories of network)
Dc lec-04 (categories of network)
 
TYPES OF NETWORKS
TYPES OF NETWORKSTYPES OF NETWORKS
TYPES OF NETWORKS
 
Computer Network
Computer NetworkComputer Network
Computer Network
 
LAN's And MAN's
LAN's And MAN'sLAN's And MAN's
LAN's And MAN's
 
Computer Network Types.pptx
Computer Network Types.pptxComputer Network Types.pptx
Computer Network Types.pptx
 
Computer networks
Computer networksComputer networks
Computer networks
 
Communication Technology- The Internet Networking
Communication Technology- The Internet NetworkingCommunication Technology- The Internet Networking
Communication Technology- The Internet Networking
 
Types of cn, protocols and standards
Types of cn, protocols and standardsTypes of cn, protocols and standards
Types of cn, protocols and standards
 

More from ShaishavShah8

Diffie hellman key algorithm
Diffie hellman key algorithmDiffie hellman key algorithm
Diffie hellman key algorithm
ShaishavShah8
 
Constructor oopj
Constructor oopjConstructor oopj
Constructor oopj
ShaishavShah8
 
Clipping computer graphics
Clipping  computer graphicsClipping  computer graphics
Clipping computer graphics
ShaishavShah8
 
Classification of debuggers sp
Classification of debuggers spClassification of debuggers sp
Classification of debuggers sp
ShaishavShah8
 
Parallel and perspective projection in 3 d cg
Parallel and perspective projection in 3 d cgParallel and perspective projection in 3 d cg
Parallel and perspective projection in 3 d cg
ShaishavShah8
 
Asymptotic notations ada
Asymptotic notations adaAsymptotic notations ada
Asymptotic notations ada
ShaishavShah8
 
Arrays in java oopj
Arrays in java oopjArrays in java oopj
Arrays in java oopj
ShaishavShah8
 
Classical cyphers python programming
Classical cyphers python programmingClassical cyphers python programming
Classical cyphers python programming
ShaishavShah8
 
Logics for non monotonic reasoning-ai
Logics for non monotonic reasoning-aiLogics for non monotonic reasoning-ai
Logics for non monotonic reasoning-ai
ShaishavShah8
 
Rdd transformations bda
Rdd transformations bdaRdd transformations bda
Rdd transformations bda
ShaishavShah8
 
Introduction to data warehouse dmbi
Introduction to data warehouse dmbiIntroduction to data warehouse dmbi
Introduction to data warehouse dmbi
ShaishavShah8
 
Introduction to xml, uses of xml wt
Introduction to xml, uses of xml wtIntroduction to xml, uses of xml wt
Introduction to xml, uses of xml wt
ShaishavShah8
 
Agile process se
Agile process seAgile process se
Agile process se
ShaishavShah8
 
Applications of huffman coding dcdr
Applications of huffman coding dcdrApplications of huffman coding dcdr
Applications of huffman coding dcdr
ShaishavShah8
 
Cookie management using jsp a java
Cookie management using jsp  a javaCookie management using jsp  a java
Cookie management using jsp a java
ShaishavShah8
 
Login control .net
Login control .netLogin control .net
Login control .net
ShaishavShah8
 
Rdd transformations
Rdd transformationsRdd transformations
Rdd transformations
ShaishavShah8
 
Introduction to data warehouse
Introduction to data warehouseIntroduction to data warehouse
Introduction to data warehouse
ShaishavShah8
 

More from ShaishavShah8 (18)

Diffie hellman key algorithm
Diffie hellman key algorithmDiffie hellman key algorithm
Diffie hellman key algorithm
 
Constructor oopj
Constructor oopjConstructor oopj
Constructor oopj
 
Clipping computer graphics
Clipping  computer graphicsClipping  computer graphics
Clipping computer graphics
 
Classification of debuggers sp
Classification of debuggers spClassification of debuggers sp
Classification of debuggers sp
 
Parallel and perspective projection in 3 d cg
Parallel and perspective projection in 3 d cgParallel and perspective projection in 3 d cg
Parallel and perspective projection in 3 d cg
 
Asymptotic notations ada
Asymptotic notations adaAsymptotic notations ada
Asymptotic notations ada
 
Arrays in java oopj
Arrays in java oopjArrays in java oopj
Arrays in java oopj
 
Classical cyphers python programming
Classical cyphers python programmingClassical cyphers python programming
Classical cyphers python programming
 
Logics for non monotonic reasoning-ai
Logics for non monotonic reasoning-aiLogics for non monotonic reasoning-ai
Logics for non monotonic reasoning-ai
 
Rdd transformations bda
Rdd transformations bdaRdd transformations bda
Rdd transformations bda
 
Introduction to data warehouse dmbi
Introduction to data warehouse dmbiIntroduction to data warehouse dmbi
Introduction to data warehouse dmbi
 
Introduction to xml, uses of xml wt
Introduction to xml, uses of xml wtIntroduction to xml, uses of xml wt
Introduction to xml, uses of xml wt
 
Agile process se
Agile process seAgile process se
Agile process se
 
Applications of huffman coding dcdr
Applications of huffman coding dcdrApplications of huffman coding dcdr
Applications of huffman coding dcdr
 
Cookie management using jsp a java
Cookie management using jsp  a javaCookie management using jsp  a java
Cookie management using jsp a java
 
Login control .net
Login control .netLogin control .net
Login control .net
 
Rdd transformations
Rdd transformationsRdd transformations
Rdd transformations
 
Introduction to data warehouse
Introduction to data warehouseIntroduction to data warehouse
Introduction to data warehouse
 

Recently uploaded

Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
Aftab Hussain
 
Artificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopmentArtificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopment
Octavian Nadolu
 
How to use Firebase Data Connect For Flutter
How to use Firebase Data Connect For FlutterHow to use Firebase Data Connect For Flutter
How to use Firebase Data Connect For Flutter
Daiki Mogmet Ito
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
Quotidiano Piemontese
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Neo4j
 
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdfUni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems S.M.S.A.
 
Infrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI modelsInfrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI models
Zilliz
 
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceAI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
IndexBug
 
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
Zilliz
 
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Neo4j
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
DianaGray10
 
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neo4j
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
SOFTTECHHUB
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Safe Software
 
GenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizationsGenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizations
kumardaparthi1024
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
Uni Systems S.M.S.A.
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
名前 です男
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
Alpen-Adria-Universität
 
20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
Matthew Sinclair
 
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
Neo4j
 

Recently uploaded (20)

Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
 
Artificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopmentArtificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopment
 
How to use Firebase Data Connect For Flutter
How to use Firebase Data Connect For FlutterHow to use Firebase Data Connect For Flutter
How to use Firebase Data Connect For Flutter
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
 
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdfUni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdf
 
Infrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI modelsInfrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI models
 
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceAI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
 
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
 
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
 
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
 
GenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizationsGenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizations
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
 
20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
 
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
 

LAN, WAN, MAN

  • 2. LAN(Local Area Network) • It is privately-owned network within single building or campus of up to a few kilometres in size. • They are widely used to connect computers and workstations in company offices and factories to share resources and exchange information. • LANs are easy to design and troubleshoot. • In LAN, all the machines are connected to a single cable. • Different types of topologies such as Bus, Ring, Star and Tree are used.
  • 3. • Earlier the data rates for LAN range from 4 to 16 MBPS. • Now, speeds are normally 100 or 1000 MBPS. • They exist in limited geographical area. • Connectivity and resources, especially the transmission media, usually are managed by the company which is running the LAN.
  • 4. WAN(Wide Area Network) • WAN, spans a large area, often a country or continent. • It contains a large collection of machines intended for running user programs. These machines are knows as Hosts. • These hosts are connected by a communication subnet. • In most WAN, the subnet consists of two distinct components: transmission lines and switching elements.
  • 5. • The communication between different users of WAN is established using leased telephone lines or satellite links and similar channels.
  • 6. MAN(Metropolitan Area network) • MAN covers a city. The best known example of MAN is the cable television network available in many cities. • A MAN is basically a larger version of a LAN and normally uses similar technology. • It covers a large geographical area and may serve as an ISP(Internet Service Provider). • It is costly and may or may not be owned by single organization.
  • 7.