Within a network, packet switching break streams of data into smaller blocks of data. Each of these small blocks are then sent independently over a shared network.
Packet switching is different from circuit switching, which provides the basis for traditional telephone networks. Some of you may remember ordering a pizza from a landline phone in your house before cellular technology dominated everyday communications.
Header compression and multiplexing in LISPJose Saldana
When small payloads are transmitted through a packet-switched network, the resulting overhead may result significant. This is stressed in the case of LISP, where a number of headers are prepended to a packet, as new headers have to be added to each packet.
This presentation proposes to send together a number of small packets, which are in the buffer of a ITR, having the same ETR as destination, into a single packet. Therefore, they will share a single LISP header, and therefore bandwidth savings can be obtained, and a reduction in the overall number of packets sent to the network can be achieved.
Transmission Control Protocol (TCP) is a fundamental protocol of the Internet Protocol Suite. TCP complements the Internet Protocol (IP), therefore it is common to refer to the internet protocol suit as TCP/IP. TCP is used for error detection, detection of packet loss or out of order delivery of data. TCP requests retransmission, rearranges data and helps with network congestion.
Several congestion control algorithms have been developed, over the last years, to improve TCP's performance over various technologies and network conditions.
The purpose of this assignment is to present TCP, network congestion, congestion algorithms and simulate different algorithms in different network conditions to measure their performance. For this assignment's needs, OPNET IT Guru Academic Edition software was used to accomplish the reproduction of projects that have been already published and gave the wanted results.
The low efficiency caused by the high amount of small packets present in the network can be alleviated by means of packet aggregation.
There are some situations in which multiplexing a number of small packets into a bigger one is desirable. For example, a number of small packets can be sent together between a pair of machines if they share a common network path. Thus, the traffic profile can be shifted from small to larger packets, reducing the network overhead and the number of packets per second to be managed by intermediaterouters.
This presentation describes Simplemux, a protocol able to encapsulate a number of packets belonging to different protocols into a single packet. It includes the "Protocol" field on each multiplexing header, thus allowing the inclusion of a number of packets belonging to different protocols (multiplexed packets) on a packet of another protocol (tunneling protocol).
In order to reduce the overhead, the size of the multiplexing headers is kept very low (it may be a single byte when multiplexing small packets).
Sampling Theorem, Quantization Noise and its types, PCM, Channel Capacity, Ny...Waqas Afzal
Sampling Theorem
Quantization
Noise and its types
Encoding-PCM
Power of Signal
Signal to noise Ratio
Channel Capacity
Nyquist Bandwidth
Shannon Capacity Formula
Multirate Digital Signal Processing-Up/Down Sampling
Applications
Computer networks have experienced an explosive growth over the past few years and with
that growth have come severe congestion problems. For example, it is now common to see
internet gateways drop 10% of the incoming packets because of local buffer overflows.
Our investigation of some of these problems has shown that much of the cause lies in
transport protocol implementations (
not
in the protocols themselves): The ‘obvious’ ways
to implement a window-based transport protocol can result in exactly the wrong behavior
in response to network congestion. We give examples of ‘wrong’ behavior and describe
some simple algorithms that can be used to make right things happen. The algorithms are
rooted in the idea of achieving network stability by forcing the transport connection to obey
a ‘packet conservation’ principle. We show how the algorithms derive from this principle
and what effect they have on traffic over congested networks.
In October of ’86, the Internet had the first of what became a series of ‘congestion col-
lapses’. During this period, the data throughput from LBL to UC Berkeley (sites separated
by 400 yards and two IMP hops) dropped from 32 Kbps to 40 bps. We were fascinated by
this sudden factor-of-thousand drop in bandwidth and embarked on an investigation of why
things had gotten so bad. In particular, we wondered if the 4.3
BSD
(Berkeley U
NIX
)
TCP
was mis-behaving or if it could be tuned to work better under abysmal network conditions.
The answer to both of these questions was “yes”.
Within a network, packet switching break streams of data into smaller blocks of data. Each of these small blocks are then sent independently over a shared network.
Packet switching is different from circuit switching, which provides the basis for traditional telephone networks. Some of you may remember ordering a pizza from a landline phone in your house before cellular technology dominated everyday communications.
Header compression and multiplexing in LISPJose Saldana
When small payloads are transmitted through a packet-switched network, the resulting overhead may result significant. This is stressed in the case of LISP, where a number of headers are prepended to a packet, as new headers have to be added to each packet.
This presentation proposes to send together a number of small packets, which are in the buffer of a ITR, having the same ETR as destination, into a single packet. Therefore, they will share a single LISP header, and therefore bandwidth savings can be obtained, and a reduction in the overall number of packets sent to the network can be achieved.
Transmission Control Protocol (TCP) is a fundamental protocol of the Internet Protocol Suite. TCP complements the Internet Protocol (IP), therefore it is common to refer to the internet protocol suit as TCP/IP. TCP is used for error detection, detection of packet loss or out of order delivery of data. TCP requests retransmission, rearranges data and helps with network congestion.
Several congestion control algorithms have been developed, over the last years, to improve TCP's performance over various technologies and network conditions.
The purpose of this assignment is to present TCP, network congestion, congestion algorithms and simulate different algorithms in different network conditions to measure their performance. For this assignment's needs, OPNET IT Guru Academic Edition software was used to accomplish the reproduction of projects that have been already published and gave the wanted results.
The low efficiency caused by the high amount of small packets present in the network can be alleviated by means of packet aggregation.
There are some situations in which multiplexing a number of small packets into a bigger one is desirable. For example, a number of small packets can be sent together between a pair of machines if they share a common network path. Thus, the traffic profile can be shifted from small to larger packets, reducing the network overhead and the number of packets per second to be managed by intermediaterouters.
This presentation describes Simplemux, a protocol able to encapsulate a number of packets belonging to different protocols into a single packet. It includes the "Protocol" field on each multiplexing header, thus allowing the inclusion of a number of packets belonging to different protocols (multiplexed packets) on a packet of another protocol (tunneling protocol).
In order to reduce the overhead, the size of the multiplexing headers is kept very low (it may be a single byte when multiplexing small packets).
Sampling Theorem, Quantization Noise and its types, PCM, Channel Capacity, Ny...Waqas Afzal
Sampling Theorem
Quantization
Noise and its types
Encoding-PCM
Power of Signal
Signal to noise Ratio
Channel Capacity
Nyquist Bandwidth
Shannon Capacity Formula
Multirate Digital Signal Processing-Up/Down Sampling
Applications
Computer networks have experienced an explosive growth over the past few years and with
that growth have come severe congestion problems. For example, it is now common to see
internet gateways drop 10% of the incoming packets because of local buffer overflows.
Our investigation of some of these problems has shown that much of the cause lies in
transport protocol implementations (
not
in the protocols themselves): The ‘obvious’ ways
to implement a window-based transport protocol can result in exactly the wrong behavior
in response to network congestion. We give examples of ‘wrong’ behavior and describe
some simple algorithms that can be used to make right things happen. The algorithms are
rooted in the idea of achieving network stability by forcing the transport connection to obey
a ‘packet conservation’ principle. We show how the algorithms derive from this principle
and what effect they have on traffic over congested networks.
In October of ’86, the Internet had the first of what became a series of ‘congestion col-
lapses’. During this period, the data throughput from LBL to UC Berkeley (sites separated
by 400 yards and two IMP hops) dropped from 32 Kbps to 40 bps. We were fascinated by
this sudden factor-of-thousand drop in bandwidth and embarked on an investigation of why
things had gotten so bad. In particular, we wondered if the 4.3
BSD
(Berkeley U
NIX
)
TCP
was mis-behaving or if it could be tuned to work better under abysmal network conditions.
The answer to both of these questions was “yes”.
A complete power point presentation to know how Public Switching Telephone Network works. Useful for those in the working field or for the ones who want to know more or submitting any project report..
chapter four circuit switching communicationGeletaAman
chapter four circuit switching network End-to-end dedicated circuits between clients
Client can be a person or equipment (router or switch)
Circuit can take different forms
Dedicated path for the transfer of electrical current
Dedicated time slots for transfer of voice samples
Dedicated frames for transfer of Nx51.84 Mbps signals
Dedicated wavelengths for transfer of optical signals
Circuit switching networks require:
Multiplexing & switching of circuits
Signaling & control for establishing circuits
These are the subjects covered in this chapter
Optical fiber link carries several wavelengths
From few (4-8) to many (64-160) wavelengths per fiber
Imagine prism combining different colors into single beam
Each wavelength carries a high-speed stream
Each wavelength can carry different format signal
e.g., 1 Gbps, 2.5 Gbps, or 10 Gbps
Synchronous Optical NETwork
North American TDM physical layer standard for optical fiber communications
8000 frames/sec. (Tframe = 125 sec)
compatible with North American digital hierarchy
SDH (Synchronous Digital Hierarchy) elsewhere
Needs to carry E1 and E3 signals
Compatible with SONET at higher speeds
Greatly simplifies multiplexing in network backbone
OA&M support to facilitate network management
Protection & restoration
Defines electrical & optical signal interfaces
Electrical
Multiplexing, Regeneration performed in electrical domain
STS – Synchronous Transport Signals defined
Very short range (e.g., within a switch)
Optical
Transmission carried out in optical domain
Optical transmitter & receiver
OC – Optical Carrier
chapter four circuit switching network End-to-end dedicated circuits between clients
Client can be a person or equipment (router or switch)
Circuit can take different forms
Dedicated path for the transfer of electrical current
Dedicated time slots for transfer of voice samples
Dedicated frames for transfer of Nx51.84 Mbps signals
Dedicated wavelengths for transfer of optical signals
Circuit switching networks require:
Multiplexing & switching of circuits
Signaling & control for establishing circuits
These are the subjects covered in this chapter
Optical fiber link carries several wavelengths
From few (4-8) to many (64-160) wavelengths per fiber
Imagine prism combining different colors into single beam
Each wavelength carries a high-speed stream
Each wavelength can carry different format signal
e.g., 1 Gbps, 2.5 Gbps, or 10 Gbps
Synchronous Optical NETwork
North American TDM physical layer standard for optical fiber communications
8000 frames/sec. (Tframe = 125 sec)
compatible with North American digital hierarchy
SDH (Synchronous Digital Hierarchy) elsewhere
Needs to carry E1 and E3 signals
Compatible with SONET at higher speeds
Greatly simplifies multiplexing in network backbone
OA&M support to facilitate network management
Protection & restoration
Defines electrical & optical signal interfaces
Electrical
Multiplexing, Regeneration performed in electrical domain
STS – Synchronous Transport Sign
Detail information about Sindhudurg Fort
The National Highway-17 passes through Sindhudurg, One has to take small safety boats to go to this old fort from the Malvan through a narrow navigable channel between two smaller islands of Dhontara and Padmagad. It takes about 15 minutes to reach the Sindhudurg Fort jetty. Nearest railheads are Kudal and Sawantawdi, which are at a distance of over 25 kilometers and 35 kilometers respectively.
here introduction to computer aided design like types of projection. views ,orthographic views then types of lines,and general information regarding drafting standard and various symbols about GD & T content and basic information of threads.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
Delivering Micro-Credentials in Technical and Vocational Education and TrainingAG2 Design
Explore how micro-credentials are transforming Technical and Vocational Education and Training (TVET) with this comprehensive slide deck. Discover what micro-credentials are, their importance in TVET, the advantages they offer, and the insights from industry experts. Additionally, learn about the top software applications available for creating and managing micro-credentials. This presentation also includes valuable resources and a discussion on the future of these specialised certifications.
For more detailed information on delivering micro-credentials in TVET, visit this https://tvettrainer.com/delivering-micro-credentials-in-tvet/
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
2. Network Performance Metrics
Bandwidth
Amount of data transmitted per unit of time; per link, or end-to-end
Units 1KB = 210 bytes, 1Mbps = 106 bits per sec
How many KB/sec is a 1Mbps line? How many MB/sec?
Throughput
Data rate delivered by the a link, connection or network
Per link or end-to-end, same units as Bandwidth
2
3. Latency or Delay
Time for sending data from host A to B (in sec, msec, or μsec)
Per link or end-to-end
Usually consists of
Tt: Transmission delay
Tp: Propagation delay
Tq: Queuing delay
Round Trip Time (RTT) : time to send a message from A to B and
back
Important for flow control mechanisms
3
4. Delay Calculation
Tt : Transmission Delay: file size/bandwidth
Tp : Propagation Delay: time needed for signal to travel the medium,
Distance / speed of medium
Tq: Queuing Delay: time waiting in router’s buffer
A B
C
R
d1 d2
4
5. Example: Problem 1.6 from Book
Transfer 1,5 MB file, assuming RTT of 80 ms, a packet size of 1-KB
and an initial “handshake” of 2xRTT
Bandwidth is 10 Mbps and data packets can be sent continuously
5
RTT
. . .
Tt
Tp
RTT = 80 ms
Tt = 1024x8 bits/107 bits/s = 0.8192 ms
Tp = 40 ms
# of packets = 1536 (1.5 x 1024)
D = 2xRTT + 1536xTt + Tp
= 160 + 1258.29 + 40 ms
= 1.458 s
request
reply
confirm
Ack
A B
t
6. Example: Problem 1.6 from Book
Transfer 1,5 MB file, assuming RTT of 80 ms, a packet size of 1-KB
and an initial “handshake” of 2xRTT
After sending each packet must wait one RTT
6
RTT
. . .
Tt
RTT = 80 ms
Tt = 1024x8 bits/107 bits/s = 0.8192 ms
Tp = 40 ms
# of packets = 1536 (1.5 x 1024)
D = 2xRTT + 1535x(Tt +RTT)+ Tt+Tp
= 160 + 124,057 + 0.8192 + 40 ms
= 124.258 s
request
reply
confirm
Ack
A B
t
RTT
7. Example: Problem 1.6 from Book
Transfer 1,5 MB file, assuming RTT of 80 ms, a packet size of 1-KB
and an initial “handshake” of 2xRTT
Only 20 packets can be send per RTT, but infinitely fast
7
RTT
. . .
RTT = 80 ms
Tt = 0 ms
Tp = 40 ms
# of packets = 1536 (1.5 x 1024)
D = 2xRTT + 76xRTT + Tp
= 160 + 6080 + 40 ms
= 6.28 s
request
reply
confirm
Ack
A B
t
RTT
8. Example: Problem 1.6 from Book
Transfer 1,5 MB file, assuming RTT of 80 ms, a packet size of 1-KB
and an initial “handshake” of 2xRTT
1st RTT one packet, 2 RTT two packets … Infinite transmission rate
8
RTT
. . .
RTT = 80 ms
Tt = 0 ms
Tp = 40 ms
# of packets = 1536 (1.5 x 1024)
# of waits (1+2+…2n = 2n+1 -1)
211 -1 =2047 packets, n = 10
D = 2xRTT + 10xRTT + Tp
= 160 + 800 + 40 ms
= 1 s
request
reply
confirm
Ack
A B
t
RTT
9. Latency vs. Bandwidth
Importance depends on application
1 byte file, 1ms/1Mbps vs. 100ms/100Mbps
1 ms + 8μs = 1.008ms,
100ms + 0.08μs =100 ms.
1GB file, 1ms/1Mbps vs. 100ms/100Mbps
1ms + 10243 x 8 /106 = 2.38h + 1ms,
100ms + 85 s
9
10. Bandwidth x Delay Product
The amount of data (bits or bytes) “in the pipe”
Example: 100Mbps x 10ms = 1 Mbit
The amount of data sent before first bit arrives
Usually use RTT as delay: amount of data before a reply from a
receiver arrives to the sender
10
11. High-Speed Networks
Link Type Bandwidth Distance RTT Delay x BW
Dial-up 56 kbps 10 km 87 μs 5 bits
Wireless LAN 54 Mbps 50 m 0.33 μs 18 bits
Satellite link 45 Mbps 35,000 km 230 ms 10 Mb
Cross-country
fiber
10 Gbps 4,000 km 40 ms 400 Mb
11
Infinite bandwidth
Propagation delay dominates
Throughput = Transfer size/Transfer time
Transfer time = RTT + Transfer size/Bandwidth
1MB file across 1Gbps line with 100ms RTT, Throughput is 74.1 Mbps
12. Computing Application Bandwidth
12
FTP can utilize entire BW available
Video-on-demand may specify upper limit (only what’s needed)
Example: res: 352x240 pixels, 24-bit color, 30 fps
Each frame is (352 x 240 x 24)/8 =247.5 KB
Total required BW = 352 x 240 x 24 x 30 = 60.8 Mbps
13. Network Jitter
Variability in the delay between packets
Video-on-demand application: If jitter is known, application can decide
how much buffering is needed
Example: jitter is 50ms per frame and 10s video at 30fps must be
transmitted.
If Y frames buffered, video can play uninterrupted for Y x 1/30s.
The last frame will arrive 50 x (10 x 30 – Y) ms after video start, worst
case
Y/30 = 50 x (300 – Y) Y = 180 frames
13
14. Example: Problem 1.19 from Book
1 – Gbps Ethernet with a s-a-f switch in the path and a packet size of
5,000 bits. Tp = 10 μs, switch transmits immediately after reception
14
1st bit: time 0
A S
t
B
Last bit: 5μs
Tp
Last bit rec: 15μs
Last bit sent: 20μs
Last bit rec: 30μs
15. Example: Problem 1.19 from Book
1 – Gbps Ethernet with a s-a-f switch in the path and a packet size of
5,000 bits. Tp = 10 μs, 3 switches in between A and B
4 links equal to 4 Tp delay
4 transmissions equal to 4 Tt delay
Total: 4Tp + 4Tt = 60 μs
Three switches, each transmits after 128 bits are received
Total: 4Tp + Tt + 3x128/109 = 40μs + 5μs + 0.384μs = 45.384μs
15