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Congestion in data networks by Waqas
Congestionin Data Networks
Congestionin Data Networks
Waqas !!!!
In WSN congestion occurs when traffic load exceeds the capacity available at any point in a network. Congestion acts an important role in degrading the performance of the network or failure of the network. So it is essential to detect and control the congestion in the entire WSN. Thus one can improve the performance of the network. Different factors are involved in the congestion; the main factor is buffer over flow, packet loss, lowers network throughput and energy wastage. To address this challenge this is essential for a distributed algorithm that mitigate congestion and allocate appropriate source rate to a sink node for wireless sensor network. This paper gives some ideas how to control and manage the congestion in a wireless sensor network.
Congestion Control in Wireless Sensor Networks- An overview of Current Trends
Congestion Control in Wireless Sensor Networks- An overview of Current Trends
Editor IJCATR
Facing burst traffic, TCP congestion control algorithms severely decrease window size neglecting the fact that such burst traffics are temporal. In the increase phase sending window experiences a linear rise which may lead to waste in hefty proportion of available bandwidth. If congestion control mechanisms be able to estimate future state of network traffic they can cope with different circumstances and efficiently use bandwidth. Since data traffic which is running on networks is mostly self-similar, algorithms can take advantage of self-similarity property and repetitive traffic patterns to have accurate estimations and predictions in large time scales. In this research a two-stage controller is presented. In fact the first part is a RED congestion controller which acts in short time scales (200 milliseconds) and the second is a Kalman filter estimator which do RTT and window size estimations in large time scales (every two seconds). If the RED mechanism decides to increase the window size, the magnitude of this increase is controlled by Kalman filter. To be more precise, if the Kalman filter indicates a non-congested situation in the next large time scale, a magnitude factor is calculated and given to RED algorithm to strengthen the amount of increase.
KALMAN FILTER BASED CONGESTION CONTROLLER
KALMAN FILTER BASED CONGESTION CONTROLLER
ijdpsjournal
https://irjet.net/archives/V4/i6/IRJET-V4I6787.pdf
IRJET-A Survey on congestion control with TCP network
IRJET-A Survey on congestion control with TCP network
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A low complexity congestion control and scheduling algorithm for multihop wireless networks with order-optimal per-flow delay
A low complexity congestion control and scheduling algorithm for multihop wir...
A low complexity congestion control and scheduling algorithm for multihop wir...
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Admission control in Internet
Admission control
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Vishal Waghmare
Sensor network consists of a large number of small nods, strongly interacting with the physical environment, takes environmental data through sensors, and reacts after processing on information. Wireless network technologies are widely used in most applications. As wireless sensor networks have many activities in the field of information transmission, network congestion cannot be thus avoided. So it seems necessary that some new methods can control congestion and use existing resources for providing better traffic demands. Congestion increases packet loss and retransmission of removed packets and also wastes of energy. In this paper, a novel method is presented for congestion control in wireless sensor networks using genetic algorithm. The results of simulation show that the proposed method, in comparison with the algorithm LEACH, can significantly improve congestion control at high speeds.
Congestion Control in Wireless Sensor Networks Using Genetic Algorithm
Congestion Control in Wireless Sensor Networks Using Genetic Algorithm
Editor IJCATR
http://www.iosrjournals.org/iosr-jce/pages/v12i3.html
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Analysis of Rate Based Congestion Control Algorithms in Wireless Technologies
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Congestion in data networks by Waqas
Congestionin Data Networks
Congestionin Data Networks
Waqas !!!!
In WSN congestion occurs when traffic load exceeds the capacity available at any point in a network. Congestion acts an important role in degrading the performance of the network or failure of the network. So it is essential to detect and control the congestion in the entire WSN. Thus one can improve the performance of the network. Different factors are involved in the congestion; the main factor is buffer over flow, packet loss, lowers network throughput and energy wastage. To address this challenge this is essential for a distributed algorithm that mitigate congestion and allocate appropriate source rate to a sink node for wireless sensor network. This paper gives some ideas how to control and manage the congestion in a wireless sensor network.
Congestion Control in Wireless Sensor Networks- An overview of Current Trends
Congestion Control in Wireless Sensor Networks- An overview of Current Trends
Editor IJCATR
Facing burst traffic, TCP congestion control algorithms severely decrease window size neglecting the fact that such burst traffics are temporal. In the increase phase sending window experiences a linear rise which may lead to waste in hefty proportion of available bandwidth. If congestion control mechanisms be able to estimate future state of network traffic they can cope with different circumstances and efficiently use bandwidth. Since data traffic which is running on networks is mostly self-similar, algorithms can take advantage of self-similarity property and repetitive traffic patterns to have accurate estimations and predictions in large time scales. In this research a two-stage controller is presented. In fact the first part is a RED congestion controller which acts in short time scales (200 milliseconds) and the second is a Kalman filter estimator which do RTT and window size estimations in large time scales (every two seconds). If the RED mechanism decides to increase the window size, the magnitude of this increase is controlled by Kalman filter. To be more precise, if the Kalman filter indicates a non-congested situation in the next large time scale, a magnitude factor is calculated and given to RED algorithm to strengthen the amount of increase.
KALMAN FILTER BASED CONGESTION CONTROLLER
KALMAN FILTER BASED CONGESTION CONTROLLER
ijdpsjournal
https://irjet.net/archives/V4/i6/IRJET-V4I6787.pdf
IRJET-A Survey on congestion control with TCP network
IRJET-A Survey on congestion control with TCP network
IRJET Journal
A low complexity congestion control and scheduling algorithm for multihop wireless networks with order-optimal per-flow delay
A low complexity congestion control and scheduling algorithm for multihop wir...
A low complexity congestion control and scheduling algorithm for multihop wir...
JPINFOTECH JAYAPRAKASH
Admission control in Internet
Admission control
Admission control
Vishal Waghmare
Sensor network consists of a large number of small nods, strongly interacting with the physical environment, takes environmental data through sensors, and reacts after processing on information. Wireless network technologies are widely used in most applications. As wireless sensor networks have many activities in the field of information transmission, network congestion cannot be thus avoided. So it seems necessary that some new methods can control congestion and use existing resources for providing better traffic demands. Congestion increases packet loss and retransmission of removed packets and also wastes of energy. In this paper, a novel method is presented for congestion control in wireless sensor networks using genetic algorithm. The results of simulation show that the proposed method, in comparison with the algorithm LEACH, can significantly improve congestion control at high speeds.
Congestion Control in Wireless Sensor Networks Using Genetic Algorithm
Congestion Control in Wireless Sensor Networks Using Genetic Algorithm
Editor IJCATR
http://www.iosrjournals.org/iosr-jce/pages/v12i3.html
Analysis of Rate Based Congestion Control Algorithms in Wireless Technologies
Analysis of Rate Based Congestion Control Algorithms in Wireless Technologies
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A survey on congestion control mechanisms
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A THROUGHPUT ANALYSIS OF TCP IN ADHOC NETWORKS
A THROUGHPUT ANALYSIS OF TCP IN ADHOC NETWORKS
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Small presentation I did during my Computer networks subject. Subtopics are as in name. This is the first slide I am uploading so don't be harsh.
Traffic profiles, congestion and network performance
Traffic profiles, congestion and network performance
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Topic Packet switching
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INTRO TO NETWORK LAYER
Ch 18 intro to network layer - section 3
Ch 18 intro to network layer - section 3
Hossam El-Deen Osama
Peer-to-peer and mobile networks gained significant attention of both research community and industry. Applying the peer-to-peer paradigm in mobile networks lead to several problems regarding the bandwidth demand of peer-to-peer networks. Time-critical messages are delayed and delivered unacceptably slow. In addition to this, scarce bandwidth is wasted on messages of less priority. Therefore, the focus of this paper is on bandwidth management issues at the overlay layer and how they can be solved. We present HiPNOS.KOM, a priority based scheduling and active queue management system. It guarantees better QoS for higher prioritized messages in upper network layers of peer-to-peer systems. Evaluation using the peer-to-peer simulator PeerfactSim.KOM shows that HiPNOS.KOM brings significant improvement in Kademlia in comparison to FIFO and Drop-Tail, strategies that are used nowadays on each peer. User initiated lookups have in Kademlia 24% smaller operation duration when using HiPNOS.KOM.
IEEE LCN 2007: Kalman Graffi - Overlay Bandwidth Management: Scheduling and A...
IEEE LCN 2007: Kalman Graffi - Overlay Bandwidth Management: Scheduling and A...
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In wireless networks to improve the competence for event account. Due to the in complete transmission size of nodes, a single path often cannot meet the condition of data transmission. Consequently, multipath show is needed. However, not every path originate by multipath routing algorithms maybe appropriate for conveying image, because a extended routing pathway with a long end to end show delay may not satisfied the time constraint. Furthermore, each data stream includes two kinds of material data handover. We have coming a novel explicit rate-based congestion control method, for supportive requests hand over process. Handover Streaming based Congestion Control (HSBCC), a new adaptive media handover streaming congestion organization in which the assembly packet broadcast rate is adjusted rendering to the active bandwidth share of the connection. They prepare not maintain or continually inform their route tables with the newest route in network. If a node requirements to send a pack to another node then this protocol explorations for the route in an on-demand method and begins the joining in order to communicate and receive the packet. The route detection usually happens by flooding the route application packets throughout the network. It makes sense to simply disregard a packet loss due to random frequency errors than to multiplicatively reduction the current transport rate and it is more suitable to periodically investigation the network during interruption period for a prompt retrieval than to slow down and exponentially increase the retransmission timer.
Reduce Handover Delay Using the HSBCC Based Buffer Over Flow In Wimax Network
Reduce Handover Delay Using the HSBCC Based Buffer Over Flow In Wimax Network
inventionjournals
In Wireless Sensor Networks (WSN) when an event is detected there is an increase in data traffic that might lead to packets being transmitted through the network close to the packet handling capacity of the WSN. The WSN experiences a decrease in network performance due to packet loss, long delays, and reduction in throughput. In this paper we developed an adaptive congestion control algorithm that monitors network utilization and adjust traffic levels and/or increases network resources to improve throughput and conserve energy. The traffic congestion control protocol DelStatic is developed by introducing backpressure mechanism into NOAH. We analyzed various routing protocols and established that DSR has a higher resource congestion control capability. The proposed protocol, ACCP uses a sink switching algorithm to trigger DelStatic or DSR feedback to a congested node based on its Node Rank. From the simulation results, ACCP protocol does not only improve throughput but also conserves energy which is critical to sensor application survivability on the field. Our Adaptive Congestion control achieved reliability, high throughput and energy efficiency.
Adaptive congestion control protocol (accp) for wireless sensor networks
Adaptive congestion control protocol (accp) for wireless sensor networks
ijwmn
Different types of switching which are in computer network. here I will give brief knowledge of packet switching. also the packet switching different type like data gram packet switching(connection less approach) and virtual circuit packet switching explained.
Packet Switching
Packet Switching
parixitpatel6
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Arrjay
rajnijain15
An approach to sensor network throughput enhancement by phy aided mac +91-9994232214,8144199666, ieeeprojectchennai@gmail.com, www.projectsieee.com, www.ieee-projects-chennai.com IEEE PROJECTS 2015-2016 ----------------------------------- Contact:+91-9994232214,+91-8144199666 Email:ieeeprojectchennai@gmail.com Support: ------------- Projects Code Documentation PPT Projects Video File Projects Explanation Teamviewer Support
An approach to sensor network throughput enhancement by phy aided mac
An approach to sensor network throughput enhancement by phy aided mac
ieeepondy
Router Assisted Congestion Control (RACC) was designed to improve endto-end congestion control performance by using prior knowledge on network condition. However, the traditional Internet does not provide such information, which makes this approach is not feasible to deliver. Our paper addresses this network information deficiency issue by proposing a new congestion control method that works on the Software Defined Network (SDN) framework. We call this proposed method as PACEC (Path Associativity Centralized Congestion Control). In SDN, global view of the network information contains the network topology including link properties (i.e., type, capacity, power consumption, etc.). PACEC uses this information to determine the feedback signal, in order for the source to start sending data at a high rate and to quickly reach fair-share rate. The simulation shows that the efficiency and fairness of PACEC are better than Transmission Control Protocol (TCP) and Rate Control Protocol (RCP).
Effective Router Assisted Congestion Control for SDN
Effective Router Assisted Congestion Control for SDN
IJECEIAES
Develop MAC Protocol using NetSim Network Simulator for MANETs to send the packet without any contention through wireless link using the following MAC protocol(CSMA/CA (802.11)). Analyze its performance with 1.Increasing node density 2.Mobility This experiment is part of Visvesvaraya Technological University (VTU) syllabus for post graduate students.
MANET Experiment - I (Using Network Simulator NetSim -www.tetcos.com)
MANET Experiment - I (Using Network Simulator NetSim -www.tetcos.com)
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Wmcn ch.3
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Small presentation I did during my Computer networks subject. Subtopics are as in name. This is the first slide I am uploading so don't be harsh.
Traffic profiles, congestion and network performance
Traffic profiles, congestion and network performance
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Icfcc conference real
Icfcc conference real
UM
An Introduction to ACC Mechanism for Congestion Control Syed Nusrat#
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30 ijaprr vol1-4-24-28syed
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These slides cover a topic on Multiplexing in Data Communication. All the slides are explained in a very simple manner. It is useful for engineering students & also for the candidates who want to master data communication & computer networking.
Topic Packet switching
Topic Packet switching
Dr Rajiv Srivastava
A New QoS Renegotiation Mechanism for Multimedia Applications
A New QoS Renegotiation Mechanism for Multimedia Applications
ABDELAAL
Related to wireless technology , hand-off techniques, Based on IEEE Research papers
Vrajesh parikh handoff_presentation1
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ITM Universe - Vadodara
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INTRO TO NETWORK LAYER
Ch 18 intro to network layer - section 3
Ch 18 intro to network layer - section 3
Hossam El-Deen Osama
Peer-to-peer and mobile networks gained significant attention of both research community and industry. Applying the peer-to-peer paradigm in mobile networks lead to several problems regarding the bandwidth demand of peer-to-peer networks. Time-critical messages are delayed and delivered unacceptably slow. In addition to this, scarce bandwidth is wasted on messages of less priority. Therefore, the focus of this paper is on bandwidth management issues at the overlay layer and how they can be solved. We present HiPNOS.KOM, a priority based scheduling and active queue management system. It guarantees better QoS for higher prioritized messages in upper network layers of peer-to-peer systems. Evaluation using the peer-to-peer simulator PeerfactSim.KOM shows that HiPNOS.KOM brings significant improvement in Kademlia in comparison to FIFO and Drop-Tail, strategies that are used nowadays on each peer. User initiated lookups have in Kademlia 24% smaller operation duration when using HiPNOS.KOM.
IEEE LCN 2007: Kalman Graffi - Overlay Bandwidth Management: Scheduling and A...
IEEE LCN 2007: Kalman Graffi - Overlay Bandwidth Management: Scheduling and A...
Kalman Graffi
In wireless networks to improve the competence for event account. Due to the in complete transmission size of nodes, a single path often cannot meet the condition of data transmission. Consequently, multipath show is needed. However, not every path originate by multipath routing algorithms maybe appropriate for conveying image, because a extended routing pathway with a long end to end show delay may not satisfied the time constraint. Furthermore, each data stream includes two kinds of material data handover. We have coming a novel explicit rate-based congestion control method, for supportive requests hand over process. Handover Streaming based Congestion Control (HSBCC), a new adaptive media handover streaming congestion organization in which the assembly packet broadcast rate is adjusted rendering to the active bandwidth share of the connection. They prepare not maintain or continually inform their route tables with the newest route in network. If a node requirements to send a pack to another node then this protocol explorations for the route in an on-demand method and begins the joining in order to communicate and receive the packet. The route detection usually happens by flooding the route application packets throughout the network. It makes sense to simply disregard a packet loss due to random frequency errors than to multiplicatively reduction the current transport rate and it is more suitable to periodically investigation the network during interruption period for a prompt retrieval than to slow down and exponentially increase the retransmission timer.
Reduce Handover Delay Using the HSBCC Based Buffer Over Flow In Wimax Network
Reduce Handover Delay Using the HSBCC Based Buffer Over Flow In Wimax Network
inventionjournals
In Wireless Sensor Networks (WSN) when an event is detected there is an increase in data traffic that might lead to packets being transmitted through the network close to the packet handling capacity of the WSN. The WSN experiences a decrease in network performance due to packet loss, long delays, and reduction in throughput. In this paper we developed an adaptive congestion control algorithm that monitors network utilization and adjust traffic levels and/or increases network resources to improve throughput and conserve energy. The traffic congestion control protocol DelStatic is developed by introducing backpressure mechanism into NOAH. We analyzed various routing protocols and established that DSR has a higher resource congestion control capability. The proposed protocol, ACCP uses a sink switching algorithm to trigger DelStatic or DSR feedback to a congested node based on its Node Rank. From the simulation results, ACCP protocol does not only improve throughput but also conserves energy which is critical to sensor application survivability on the field. Our Adaptive Congestion control achieved reliability, high throughput and energy efficiency.
Adaptive congestion control protocol (accp) for wireless sensor networks
Adaptive congestion control protocol (accp) for wireless sensor networks
ijwmn
Different types of switching which are in computer network. here I will give brief knowledge of packet switching. also the packet switching different type like data gram packet switching(connection less approach) and virtual circuit packet switching explained.
Packet Switching
Packet Switching
parixitpatel6
Computer networks-ATM Traffic Management
Arrjay
Arrjay
rajnijain15
An approach to sensor network throughput enhancement by phy aided mac +91-9994232214,8144199666, ieeeprojectchennai@gmail.com, www.projectsieee.com, www.ieee-projects-chennai.com IEEE PROJECTS 2015-2016 ----------------------------------- Contact:+91-9994232214,+91-8144199666 Email:ieeeprojectchennai@gmail.com Support: ------------- Projects Code Documentation PPT Projects Video File Projects Explanation Teamviewer Support
An approach to sensor network throughput enhancement by phy aided mac
An approach to sensor network throughput enhancement by phy aided mac
ieeepondy
Router Assisted Congestion Control (RACC) was designed to improve endto-end congestion control performance by using prior knowledge on network condition. However, the traditional Internet does not provide such information, which makes this approach is not feasible to deliver. Our paper addresses this network information deficiency issue by proposing a new congestion control method that works on the Software Defined Network (SDN) framework. We call this proposed method as PACEC (Path Associativity Centralized Congestion Control). In SDN, global view of the network information contains the network topology including link properties (i.e., type, capacity, power consumption, etc.). PACEC uses this information to determine the feedback signal, in order for the source to start sending data at a high rate and to quickly reach fair-share rate. The simulation shows that the efficiency and fairness of PACEC are better than Transmission Control Protocol (TCP) and Rate Control Protocol (RCP).
Effective Router Assisted Congestion Control for SDN
Effective Router Assisted Congestion Control for SDN
IJECEIAES
Develop MAC Protocol using NetSim Network Simulator for MANETs to send the packet without any contention through wireless link using the following MAC protocol(CSMA/CA (802.11)). Analyze its performance with 1.Increasing node density 2.Mobility This experiment is part of Visvesvaraya Technological University (VTU) syllabus for post graduate students.
MANET Experiment - I (Using Network Simulator NetSim -www.tetcos.com)
MANET Experiment - I (Using Network Simulator NetSim -www.tetcos.com)
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Traffic profiles, congestion and network performance
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Icfcc conference real
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30 ijaprr vol1-4-24-28syed
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Unit i packet switching networks
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A New QoS Renegotiation Mechanism for Multimedia Applications
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Ch 18 intro to network layer - section 3
IEEE LCN 2007: Kalman Graffi - Overlay Bandwidth Management: Scheduling and A...
IEEE LCN 2007: Kalman Graffi - Overlay Bandwidth Management: Scheduling and A...
Reduce Handover Delay Using the HSBCC Based Buffer Over Flow In Wimax Network
Reduce Handover Delay Using the HSBCC Based Buffer Over Flow In Wimax Network
Adaptive congestion control protocol (accp) for wireless sensor networks
Adaptive congestion control protocol (accp) for wireless sensor networks
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Arrjay
Arrjay
An approach to sensor network throughput enhancement by phy aided mac
An approach to sensor network throughput enhancement by phy aided mac
Effective Router Assisted Congestion Control for SDN
Effective Router Assisted Congestion Control for SDN
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Congestion control and quality of services By Waqas
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Chap24
Waqas !!!!
Transmission Control Protocol (TCP) is a connection oriented end-end reliable byte stream transport layer protocol. It is widely used in the Internet.TCP is fine tuned to perform well in wired networks. However the performance degrades in mobile ad hoc networks. This is due to the characteristics specific to wireless networks, such as signal fading, mobility, unavailability of routes. This leads to loss of packets which may arise either from congestion or due to other non-congestion events. However TCP assumes every loss as loss due to congestion and invokes the congestion control procedures. TCP reduces congestion window in response, causing unnecessary degradation in throughput. In mobile ad hoc networks multi-hop path forwarding further worsens the packet loss and throughput. To understand the TCP behavior and improve the TCP performance over mobile ad hoc networks considerable research has been carried out. As the research is still active in this area a comprehensive and in-depth study on the TCP throughput and the various parameters that degrade the performance of TCP have been analyzed. The analysis is done using simulations in Qualnet 5.0
A throughput analysis of tcp in adhoc networks
A throughput analysis of tcp in adhoc networks
csandit
On these slides i describe all the detail about Connection Establishment & Flow and Congestion Control. For more detail visit: https://chauhantricks.blogspot.com/
Connection Establishment & Flow and Congestion Control
Connection Establishment & Flow and Congestion Control
Adeel Rasheed
Net
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ImXaib
Heterogeneous Wireless Networks are considered nowadays as one of the potential areas in research and development. The traffic management’s schemes that have been used at the fusion points between the different wireless networks are classical and conventional. This paper is focused on developing a novel scheme to overcome the problem of traffic congestion in the fusion point router interconnected the heterogeneous wireless networks. The paper proposed an EF-AQM algorithm which provides an efficient and fair allocation of bandwidth among different established flows. Finally, the proposed scheme developed, tested and validated through a set of experiments to demonstrate the relative merits and capabilities of a proposed scheme
Efficient and Fair Bandwidth Allocation AQM Scheme for Wireless Networks
Efficient and Fair Bandwidth Allocation AQM Scheme for Wireless Networks
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Congestion Control in Computer Networks - ATM and TCP
Congestion Control in Computer Networks - ATM and TCP
Attila Balazs
NetWork Design Question 2.) How does TCP prevent Congestion? Dicuss the information identifying congestion in the network as well as the mechanism for reducing congestion? Solution Congestion is a problem that occurs on shared networks when multiple users contend for access to the same resources (bandwidth, buffers, and queues). Transmission Control Protocol (TCP) uses a network congestion-avoidance algorithm that includes various aspects of an additive increase/multiplicative decrease (AIMD) scheme, with other schemes such as slow-start to achieve congestion avoidance. The TCP congestion-avoidance algorithm is the primary basis for congestion control in the Internet. Congestion typically occurs where multiple links feed into a single link, such as where internal LANs are connected to WAN links. Congestion also occurs at routers in core networks where nodes are subjected to more traffic than they are designed to handle. TCP/IP networks such as the Internet are especially susceptible to congestion because of their basic connection- less nature. There are no virtual circuits with guaranteed bandwidth. Packets are injected by any host at any time, and those packets are variable in size, which make predicting traffic patterns and providing guaranteed service impossible. While connectionless networks have advantages, quality of service is not one of them. Shared LANs such as Ethernet have their own congestion control mechanisms in the form of access controls that prevent multiple nodes from transmitting at the same time. Identifying: Congestion is primarily reflected by a conventional user feeling-- slowness. This statement reflects the change in the network effective flow, that is the time required to transmit an entire data from one point to another. The effective flow doenot exist as such, it consists in reality of three seperate indicators: *Latency:the effective flow is inversely proportional to the latency. *Jitter:it is latency variation over time, impacts by influencing the flow latency *Loss Rate:the theoritical bandwidth is inversely proportional to the square root of the loss rate These Congestion symtoms allow us to rely on objective indicators to characterize it. Mechanism to reduce congestion: The standard fare in TCP implementations today has four standard congestion control algorithms that are now in common use. Their usefulness has passed the test of time. The four algorithms, Slow Start, Congestion Avoidance, Fast Retransmit and Fast Recovery are described below. (a) Slow Start Slow Start, a requirement for TCP software implementations is a mechanism used by the sender to control the transmission rate, otherwise known as sender-based flow control. This is accomplished through the return rate of acknowledgements from the receiver. In other words, the rate of acknowledgements returned by the receiver determine the rate at which the sender can transmit data. When a TCP connection first begins, the Slow Start algorithm initializes a .
NetWork Design Question2.) How does TCP prevent Congestion Dicuss.pdf
NetWork Design Question2.) How does TCP prevent Congestion Dicuss.pdf
optokunal1
A state occurring in network layer when the message traffic is so heavy that it slows down network response time. Effects of Congestion As delay increases, performance decreases. If delay increases, retransmission occurs, making situation worse.
Congestion control algorithms.pptx
Congestion control algorithms.pptx
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Ba25315321
IJERA Editor
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UNIT II tramission control
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Similar a Congestionin Data Networks
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Efficient and Fair Bandwidth Allocation AQM Scheme for Wireless Networks
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Congestion Control in Computer Networks - ATM and TCP
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NetWork Design Question2.) How does TCP prevent Congestion Dicuss.pdf
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Congestion control algorithms.pptx
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UNIT II tramission control
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Congestion control mechanism using network border protocol
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My presentation at the Lehigh Carbon Community College (LCCC) NSA GenCyber Cyber Security Day event that is intended to foster an interest in the cyber security field amongst college students.
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
Michael W. Hawkins
The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
Building Digital Trust in a Digital Economy Veronica Tan, Director - Cyber Security Agency of Singapore Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
apidays
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Tech Trends Report 2024 Future Today Institute.pdf
hans926745
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How to Troubleshoot Apps for the Modern Connected Worker
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ThousandEyes
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Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
naman860154
Read about the journey the Adobe Experience Manager team has gone through in order to become and scale API-first throughout the organisation.
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
Radu Cotescu
Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024. Taxonomies at their core enable effective tagging and retrieval of content, and combined with ontologies they extend to the management and understanding of related data. There are even greater benefits of taxonomies and ontologies to enhance your enterprise information architecture when applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see their business outcomes improve by four times, while reducing their data and analytics costs. Extending taxonomies to a semantic layer can be a game-changing solution, allowing you to connect information silos, alleviate knowledge gaps, and derive new insights. Hedden, who specializes in taxonomy design and implementation, presented how the value of taxonomies shouldn’t reside in silos but be integrated with ontologies into a semantic layer. Learn about: - The essence and purpose of taxonomies and ontologies in information and knowledge management; - Advantages of semantic layers leveraging organizational taxonomies; and - Components and approaches to creating a semantic layer, including the integration of taxonomies and ontologies
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
Enterprise Knowledge
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Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
The Digital Insurer
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2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
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These are the slides delivered in a workshop at Data Innovation Summit Stockholm April 2024, by Kristof Neys and Jonas El Reweny.
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
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Strategies for Landing an Oracle DBA Job as a Fresher
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Handwritten Text Recognition for manuscripts and early printed texts
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🐬 The future of MySQL is Postgres 🐘
RTylerCroy
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How to Troubleshoot Apps for the Modern Connected Worker
ThousandEyes
I've been in the field of "Cyber Security" in its many incarnations for about 25 years. In that time I've learned some lessons, some the hard way. Here are my slides presented at BSides New Orleans in April 2024.
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
Rafal Los
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presentation ICT roal in 21st century education
presentation ICT roal in 21st century education
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08448380779 Call Girls In Greater Kailash - I Women Seeking Men
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GenCyber Cyber Security Day Presentation
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Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
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Tech Trends Report 2024 Future Today Institute.pdf
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Presentation on how to chat with PDF using ChatGPT code interpreter
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The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
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Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
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2024: Domino Containers - The Next Step. News from the Domino Container commu...
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CNv6 Instructor Chapter 6 Quality of Service
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Handwritten Text Recognition for manuscripts and early printed texts
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🐬 The future of MySQL is Postgres 🐘
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How to Troubleshoot Apps for the Modern Connected Worker
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The 7 Things I Know About Cyber Security After 25 Years | April 2024
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
presentation ICT roal in 21st century education
presentation ICT roal in 21st century education
Congestionin Data Networks
1.
William Stallings Data
and Computer Communications 7 th Edition Chapter 1 3 Congestion in Data Networks
2.
3.
Queues at a
Node
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5.
Interaction of Queues
6.
Ideal Network
Utilization Power = thruput/delay Fig. 13.3
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Effects of
Congestion - No Control Fig. 13.4
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Mechanisms for
Congestion Control
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Operation of CIR
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Relationship Among
Congestion Parameters
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Configuration of
VCCs and VPCs
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Token Bucket
for Traffic Shaping
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