Topology-Mapping the Pathways of Network Connectivity.pptx
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Topology-Mapping the Pathways of Network Connectivity
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Computer Network Topology By Team_Inclusion Inquiry Initiative (Dept . of Soc...
Topology defines the structure of the network of how all the components
are interconnected to each other. There are two types of topology: physical
and logical topology.
Physical topology is the geometric representation of all the nodes in a network.
There are six types of network topology which are Bus Topology, Ring Topology,
Star Topology, Mesh Topology, Tree Topology, Hybrid Topology
Computer Network Topology By Team_Social Dynamic Squad (Dept . of Sociology)
In other words topology is a physical arrangement of the combination of connecting computers in a network.
Network topology is the arrangement of the elements of a communication network. Network topology can be used to define or describe the arrangement of various types of telecommunication networks, including command and control radio networks, industrial fieldbuses and computer networks.
Computer Network Topology:( Bus,Star,Ring,Mesh,Tree)
A network topology is the physical and logical arrangement of nodes and connections in a network.
Physical topology describes the layout of devices and cables, and logical topology describes the way in which data is transmitted within the network — regardless of the physical layout.
Computer Network Topology By Team_ Paramount (Dept. English)
A network topology is the physical and logical arrangement of nodes and connections in a network.
Nodes usually include devices such as switches, routers and software with switch and router features. Network topologies are often represented as a graph.
cloud and edge networking technologies
این اسلایدها جهت ارائه سمینار درس رایانش ابری دانشگاه تربیت مدرس (استاد درس: دکتر دری) تهیه شده اند.
Computer Network Topology By Team_Culture Crusade (Dept . of Sociology)
Network topology refers to the physical and logical arrangement of devices within a computer network. Understanding different network topologies is crucial for designing efficient and reliable communication systems.
What Is Network Topology In Computer Networking
Topology defines the structure of the network of how all the components are interconnected to each other. There are two types of topology: physical and logical topology
Comprehensive Analysis on the Vulnerability and Efficiency of P2P Networks un...
Peer-to-peer systems are the networks consisting of a group of nodes possible to be as wide as the Internet.
These networks are required of evaluation mechanisms and distributed control and configurations, so each
peer (node) will be able to communicate with other peers. P2P networks actually act as the specific
transportation systems created to provide some services such as searching, large-scale storage, context
sharing, and supervisioning. Changes in configuration, possibly the resultant effects of faults and failures
or of the natural nodes behavior, are one of the most important features in P2P networks. Resilience to
faults and failures, and also an appropriate dealing with threats and attacks, are the main requirements of
today’s most communication systems and networks. Thus, since P2P networks can be individually used as
an infrastructure and an alternative for many other communication networks, they have to be more
reliable, accessible, and resilient to the faults, failures and attacks compared to the client/server approach.
In this work on progress, we present a detailed study on the behavior of various P2P networks toward
faults and failures, and focus on fault-tolerance subject. We consider two different static failure scenarios:
a) a random strategy in which nodes or edges of the network will be removed with an equal probability and
without any knowledge of the network’s infrastructure, b) a targeted strategy that uses some information
about the nodes, and in which the nodes with the highest degree have the most priority to be attacked. By
static faults, we mean a situation where the nodes or components encounter some faults before the network
starts to work or through its operation, and will remain faulty to the end of the work session. Our goal is to
introduce various measures to analyzing P2P networks evaluating their vulnerability rate. The presented
criteria can be used for evaluating the reliability and vulnerability of P2P networks toward both random
and targeted failures. There is no limit to the number and types of failures, the presented measures are able
to be used for different types of failures and even a wide range of networks.
Recommended
Computer Network Topology By Team_Inclusion Inquiry Initiative (Dept . of Soc...
Topology defines the structure of the network of how all the components
are interconnected to each other. There are two types of topology: physical
and logical topology.
Physical topology is the geometric representation of all the nodes in a network.
There are six types of network topology which are Bus Topology, Ring Topology,
Star Topology, Mesh Topology, Tree Topology, Hybrid Topology
Computer Network Topology By Team_Social Dynamic Squad (Dept . of Sociology)
In other words topology is a physical arrangement of the combination of connecting computers in a network.
Network topology is the arrangement of the elements of a communication network. Network topology can be used to define or describe the arrangement of various types of telecommunication networks, including command and control radio networks, industrial fieldbuses and computer networks.
Computer Network Topology:( Bus,Star,Ring,Mesh,Tree)
A network topology is the physical and logical arrangement of nodes and connections in a network.
Physical topology describes the layout of devices and cables, and logical topology describes the way in which data is transmitted within the network — regardless of the physical layout.
Computer Network Topology By Team_ Paramount (Dept. English)
A network topology is the physical and logical arrangement of nodes and connections in a network.
Nodes usually include devices such as switches, routers and software with switch and router features. Network topologies are often represented as a graph.
cloud and edge networking technologies
این اسلایدها جهت ارائه سمینار درس رایانش ابری دانشگاه تربیت مدرس (استاد درس: دکتر دری) تهیه شده اند.
Computer Network Topology By Team_Culture Crusade (Dept . of Sociology)
Network topology refers to the physical and logical arrangement of devices within a computer network. Understanding different network topologies is crucial for designing efficient and reliable communication systems.
What Is Network Topology In Computer Networking
Topology defines the structure of the network of how all the components are interconnected to each other. There are two types of topology: physical and logical topology
Comprehensive Analysis on the Vulnerability and Efficiency of P2P Networks un...
Peer-to-peer systems are the networks consisting of a group of nodes possible to be as wide as the Internet.
These networks are required of evaluation mechanisms and distributed control and configurations, so each
peer (node) will be able to communicate with other peers. P2P networks actually act as the specific
transportation systems created to provide some services such as searching, large-scale storage, context
sharing, and supervisioning. Changes in configuration, possibly the resultant effects of faults and failures
or of the natural nodes behavior, are one of the most important features in P2P networks. Resilience to
faults and failures, and also an appropriate dealing with threats and attacks, are the main requirements of
today’s most communication systems and networks. Thus, since P2P networks can be individually used as
an infrastructure and an alternative for many other communication networks, they have to be more
reliable, accessible, and resilient to the faults, failures and attacks compared to the client/server approach.
In this work on progress, we present a detailed study on the behavior of various P2P networks toward
faults and failures, and focus on fault-tolerance subject. We consider two different static failure scenarios:
a) a random strategy in which nodes or edges of the network will be removed with an equal probability and
without any knowledge of the network’s infrastructure, b) a targeted strategy that uses some information
about the nodes, and in which the nodes with the highest degree have the most priority to be attacked. By
static faults, we mean a situation where the nodes or components encounter some faults before the network
starts to work or through its operation, and will remain faulty to the end of the work session. Our goal is to
introduce various measures to analyzing P2P networks evaluating their vulnerability rate. The presented
criteria can be used for evaluating the reliability and vulnerability of P2P networks toward both random
and targeted failures. There is no limit to the number and types of failures, the presented measures are able
to be used for different types of failures and even a wide range of networks.
Comprehensive Analysis on the Vulnerability and Efficiency of P2P Networks un...
Peer-to-peer systems are the networks consisting of a group of nodes possible to be as wide as the Internet.
These networks are required of evaluation mechanisms and distributed control and configurations, so each
peer (node) will be able to communicate with other peers. P2P networks actually act as the specific
transportation systems created to provide some services such as searching, large-scale storage, context
sharing, and supervisioning. Changes in configuration, possibly the resultant effects of faults and failures
or of the natural nodes behavior, are one of the most important features in P2P networks. Resilience to
faults and failures, and also an appropriate dealing with threats and attacks, are the main requirements of
today’s most communication systems and networks. Thus, since P2P networks can be individually used as
an infrastructure and an alternative for many other communication networks, they have to be more
reliable, accessible, and resilient to the faults, failures and attacks compared to the client/server approach.
In this work on progress, we present a detailed study on the behavior of various P2P networks toward
faults and failures, and focus on fault-tolerance subject. We consider two different static failure scenarios:
a) a random strategy in which nodes or edges of the network will be removed with an equal probability and
without any knowledge of the network’s infrastructure, b) a targeted strategy that uses some information
about the nodes, and in which the nodes with the highest degree have the most priority to be attacked. By
static faults, we mean a situation where the nodes or components encounter some faults before the network
starts to work or through its operation, and will remain faulty to the end of the work session. Our goal is to
introduce various measures to analyzing P2P networks evaluating their vulnerability rate. The presented
criteria can be used for evaluating the reliability and vulnerability of P2P networks toward both random
and targeted failures. There is no limit to the number and types of failures, the presented measures are able
to be used for different types of failures and even a wide range of networks.
Comprehensive Analysis on the Vulnerability and Efficiency of P2P Networks un...
Peer-to-peer systems are the networks consisting of a group of nodes possible to be as wide as the Internet.
These networks are required of evaluation mechanisms and distributed control and configurations, so each
peer (node) will be able to communicate with other peers. P2P networks actually act as the specific
transportation systems created to provide some services such as searching, large-scale storage, context
sharing, and supervisioning. Changes in configuration, possibly the resultant effects of faults and failures
or of the natural nodes behavior, are one of the most important features in P2P networks. Resilience to
faults and failures, and also an appropriate dealing with threats and attacks, are the main requirements of
today’s most communication systems and networks. Thus, since P2P networks can be individually used as
an infrastructure and an alternative for many other communication networks, they have to be more
reliable, accessible, and resilient to the faults, failures and attacks compared to the client/server approach.
In this work on progress, we present a detailed study on the behavior of various P2P networks toward
faults and failures, and focus on fault-tolerance subject. We consider two different static failure scenarios:
a) a random strategy in which nodes or edges of the network will be removed with an equal probability and
without any knowledge of the network’s infrastructure, b) a targeted strategy that uses some information
about the nodes, and in which the nodes with the highest degree have the most priority to be attacked. By
static faults, we mean a situation where the nodes or components encounter some faults before the network
starts to work or through its operation, and will remain faulty to the end of the work session. Our goal is to
introduce various measures to analyzing P2P networks evaluating their vulnerability rate. The presented
criteria can be used for evaluating the reliability and vulnerability of P2P networks toward both random
and targeted failures. There is no limit to the number and types of failures, the presented measures are able
to be used for different types of failures and even a wide range of networks
Comprehensive Analysis on the Vulnerability and Efficiency of P2P Networks un...
Peer-to-peer systems are the networks consisting of a group of nodes possible to be as wide as the Internet.
These networks are required of evaluation mechanisms and distributed control and configurations, so each
peer (node) will be able to communicate with other peers. P2P networks actually act as the specific
transportation systems created to provide some services such as searching, large-scale storage, context
sharing, and supervisioning. Changes in configuration, possibly the resultant effects of faults and failures
or of the natural nodes behavior, are one of the most important features in P2P networks. Resilience to
faults and failures, and also an appropriate dealing with threats and attacks, are the main requirements of
today’s most communication systems and networks. Thus, since P2P networks can be individually used as
an infrastructure and an alternative for many other communication networks, they have to be more
reliable, accessible, and resilient to the faults, failures and attacks compared to the client/server approach.
In this work on progress, we present a detailed study on the behavior of various P2P networks toward
faults and failures, and focus on fault-tolerance subject. We consider two different static failure scenarios:
a) a random strategy in which nodes or edges of the network will be removed with an equal probability and
without any knowledge of the network’s infrastructure, b) a targeted strategy that uses some information
about the nodes, and in which the nodes with the highest degree have the most priority to be attacked. By
static faults, we mean a situation where the nodes or components encounter some faults before the network
starts to work or through its operation, and will remain faulty to the end of the work session. Our goal is to
introduce various measures to analyzing P2P networks evaluating their vulnerability rate. The presented
criteria can be used for evaluating the reliability and vulnerability of P2P networks toward both random
and targeted failures. There is no limit to the number and types of failures, the presented measures are able
to be used for different types of failures and even a wide range of networks.
Different types of network topologies
Assignment Name: Different Types of Network Topologies
Department: Computer Science and Engineering
Course Name: Computer Networks
Course Code: CSE 317
Reliable and Efficient Routing in WLAN
The rapid need of wireless demands a great deal of security and reliable routing in order to keep all the data sources and equipments secure. In order to develop efficient and robust protocols, it is essential to understand the inherent characteristics of wireless networks such as connectivity, coverage and varying channel conditions. Wireless LAN introduces the concept that use can connect to any one at any place at anytime by using various mobile appliances that can be carried at any place. Now Communication is no longer limited to a one place by holding wired phones. This is the big boom to the I.T industry but it also brings a lot of opportunities and challenges for the Network Administrator who is looking after the Wireless LANs (WLAN). WLAN traffic travels over radio waves that cannot be constrained by the walls or any Simranjeet Kaur"Reliable and Efficient Routing in WLAN" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017, URL: http://www.ijtsrd.com/papers/ijtsrd3585.pdf http://www.ijtsrd.com/computer-science/computer-network/3585/reliable-and-efficient-routing-in-wlan/simranjeet-kaur
Network Topology
Network topologies describe the methods in which all the elements of a network are mapped
MULTI-OBJECTIVE OPTIMIZATION ASSISTED NETWORK CONDITION AWARE QOS-ROUTING PRO...
The exponential rise in wireless communication systems and allied applications has revitalized academiaindustries to achieve more efficient data transmission system to meet Quality-of-Service (QoS) demands. Amongst major wireless communication techniques, Mobile Ad-hoc Network (MANET) is found potential to provide decentralized and infrastructure less communication among multiple distributed nodes across network region. However, dynamic network conditions such as changing topology, congestion, packet drop, intrusion possibilities etc often make MANET’s routing a tedious task. On the other hand, mobile network feature broadens the horizon for intruders to penetrate the network and causes performance degradation. Unlike classical MANET protocols where major efforts have been made on single network parameter based routing decision, this research paper proposes a novel Elitist Genetic Algorithm (EGA) Multi-Objective Optimization assisted Network Condition Aware QoS-Routing Protocol for Mobile Ad-hoc Networks (MNCQM). Our proposed MNCQM protocol exhibits two phase implementation where at first it performs node-profiling under dynamic network topology for which three factors; irregular MAC information exchange, queuing overflow and topological variations have been considered. Towards this objective node features like Packet Forwarding Probability (PFP) at the MAC layer, Success Probability of Data Transmission (SPDT) of a neighboring node, and Probability of Successful Data Delivery (PSDD) have been obtained to estimate Node-Trustworthiness Index (NTI), which is further used to eliminate untrustworthy nodes. In the second phase of implementation, a novel Evolutionary Computing assisted nondisjoint best forwarding path selection model is developed that exploits node’s and allied link’s connectivity and availability features to identify the quasi-sub-optimal forwarding paths. EGA algorithm intends to reduce hop-counts, connectivity-loss and node or link unavailability to estimate best forwarding node. One key feature of the proposed model is dual-supplementary forwarding path selection that enables alternate path formation in case of link outage and thus avoids any iterative network discovery phase.
MULTI-OBJECTIVE OPTIMIZATION ASSISTED NETWORK CONDITION AWARE QOS-ROUTING PRO...
The exponential rise in wireless communication systems and allied applications has revitalized academiaindustries to achieve more efficient data transmission system to meet Quality-of-Service (QoS) demands. Amongst major wireless communication techniques, Mobile Ad-hoc Network (MANET) is found potential to provide decentralized and infrastructure less communication among multiple distributed nodes across network region. However, dynamic network conditions such as changing topology, congestion, packet drop, intrusion possibilities etc often make MANET’s routing a tedious task. On the other hand, mobile network feature broadens the horizon for intruders to penetrate the network and causes performance degradation. Unlike classical MANET protocols where major efforts have been made on single network parameter based routing decision, this research paper proposes a novel Elitist Genetic Algorithm (EGA) Multi-Objective Optimization assisted Network Condition Aware QoS-Routing Protocol for Mobile Ad-hoc Networks (MNCQM). Our proposed MNCQM protocol exhibits two phase implementation where at first it performs node-profiling under dynamic network topology for which three factors; irregular MAC information exchange, queuing overflow and topological variations have been considered. Towards this objective node features like Packet Forwarding Probability (PFP) at the MAC layer, Success Probability of Data Transmission (SPDT) of a neighboring node, and Probability of Successful Data Delivery (PSDD) have been obtained to estimate Node-Trustworthiness Index (NTI), which is further used to eliminate untrustworthy nodes. In the second phase of implementation, a novel Evolutionary Computing assisted nondisjoint best forwarding path selection model is developed that exploits node’s and allied link’s connectivity and availability features to identify the quasi-sub-optimal forwarding paths. EGA algorithm intends to reduce hop-counts, connectivity-loss and node or link unavailability to estimate best forwarding node. One key feature of the proposed model is dual-supplementary forwarding path selection that enables alternate path formation in case of link outage and thus avoids any iterative network discovery phase.
Computer Network Topology By Team_Diversity Detectives (Dept . of Sociology)
A network topology is the physical and logical arrangement of nodes and connect in a network.
Physical topology describes the layout of devices and cables, and logical topology describes the way in which data is transmitted within the network – regardless of the physical layout.
A Network Topology is the arrangement with which computer systems or network devices are connected to each other. Topologies may define both physical and logical aspect of the network. Both logical and physical topologies could be same or different in a same network.
18 Diffusion Models and Peer Influence
Social Networks and Health Workshop 2019: James Moody, Director, Duke Network Analysis Center
COmputer Network Topology By Team Gemini
A network topology is the physical and logical arrangement of nodes and connections in a network. Nodes usually include devices such as switches, routers and software with switch and router features. Network topologies are often represented as a graph.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.
Thank me later.
samsarthak31@gmail.com
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Comprehensive Analysis on the Vulnerability and Efficiency of P2P Networks un...
Peer-to-peer systems are the networks consisting of a group of nodes possible to be as wide as the Internet.
These networks are required of evaluation mechanisms and distributed control and configurations, so each
peer (node) will be able to communicate with other peers. P2P networks actually act as the specific
transportation systems created to provide some services such as searching, large-scale storage, context
sharing, and supervisioning. Changes in configuration, possibly the resultant effects of faults and failures
or of the natural nodes behavior, are one of the most important features in P2P networks. Resilience to
faults and failures, and also an appropriate dealing with threats and attacks, are the main requirements of
today’s most communication systems and networks. Thus, since P2P networks can be individually used as
an infrastructure and an alternative for many other communication networks, they have to be more
reliable, accessible, and resilient to the faults, failures and attacks compared to the client/server approach.
In this work on progress, we present a detailed study on the behavior of various P2P networks toward
faults and failures, and focus on fault-tolerance subject. We consider two different static failure scenarios:
a) a random strategy in which nodes or edges of the network will be removed with an equal probability and
without any knowledge of the network’s infrastructure, b) a targeted strategy that uses some information
about the nodes, and in which the nodes with the highest degree have the most priority to be attacked. By
static faults, we mean a situation where the nodes or components encounter some faults before the network
starts to work or through its operation, and will remain faulty to the end of the work session. Our goal is to
introduce various measures to analyzing P2P networks evaluating their vulnerability rate. The presented
criteria can be used for evaluating the reliability and vulnerability of P2P networks toward both random
and targeted failures. There is no limit to the number and types of failures, the presented measures are able
to be used for different types of failures and even a wide range of networks.
Comprehensive Analysis on the Vulnerability and Efficiency of P2P Networks un...
Peer-to-peer systems are the networks consisting of a group of nodes possible to be as wide as the Internet.
These networks are required of evaluation mechanisms and distributed control and configurations, so each
peer (node) will be able to communicate with other peers. P2P networks actually act as the specific
transportation systems created to provide some services such as searching, large-scale storage, context
sharing, and supervisioning. Changes in configuration, possibly the resultant effects of faults and failures
or of the natural nodes behavior, are one of the most important features in P2P networks. Resilience to
faults and failures, and also an appropriate dealing with threats and attacks, are the main requirements of
today’s most communication systems and networks. Thus, since P2P networks can be individually used as
an infrastructure and an alternative for many other communication networks, they have to be more
reliable, accessible, and resilient to the faults, failures and attacks compared to the client/server approach.
In this work on progress, we present a detailed study on the behavior of various P2P networks toward
faults and failures, and focus on fault-tolerance subject. We consider two different static failure scenarios:
a) a random strategy in which nodes or edges of the network will be removed with an equal probability and
without any knowledge of the network’s infrastructure, b) a targeted strategy that uses some information
about the nodes, and in which the nodes with the highest degree have the most priority to be attacked. By
static faults, we mean a situation where the nodes or components encounter some faults before the network
starts to work or through its operation, and will remain faulty to the end of the work session. Our goal is to
introduce various measures to analyzing P2P networks evaluating their vulnerability rate. The presented
criteria can be used for evaluating the reliability and vulnerability of P2P networks toward both random
and targeted failures. There is no limit to the number and types of failures, the presented measures are able
to be used for different types of failures and even a wide range of networks
Comprehensive Analysis on the Vulnerability and Efficiency of P2P Networks un...
Peer-to-peer systems are the networks consisting of a group of nodes possible to be as wide as the Internet.
These networks are required of evaluation mechanisms and distributed control and configurations, so each
peer (node) will be able to communicate with other peers. P2P networks actually act as the specific
transportation systems created to provide some services such as searching, large-scale storage, context
sharing, and supervisioning. Changes in configuration, possibly the resultant effects of faults and failures
or of the natural nodes behavior, are one of the most important features in P2P networks. Resilience to
faults and failures, and also an appropriate dealing with threats and attacks, are the main requirements of
today’s most communication systems and networks. Thus, since P2P networks can be individually used as
an infrastructure and an alternative for many other communication networks, they have to be more
reliable, accessible, and resilient to the faults, failures and attacks compared to the client/server approach.
In this work on progress, we present a detailed study on the behavior of various P2P networks toward
faults and failures, and focus on fault-tolerance subject. We consider two different static failure scenarios:
a) a random strategy in which nodes or edges of the network will be removed with an equal probability and
without any knowledge of the network’s infrastructure, b) a targeted strategy that uses some information
about the nodes, and in which the nodes with the highest degree have the most priority to be attacked. By
static faults, we mean a situation where the nodes or components encounter some faults before the network
starts to work or through its operation, and will remain faulty to the end of the work session. Our goal is to
introduce various measures to analyzing P2P networks evaluating their vulnerability rate. The presented
criteria can be used for evaluating the reliability and vulnerability of P2P networks toward both random
and targeted failures. There is no limit to the number and types of failures, the presented measures are able
to be used for different types of failures and even a wide range of networks.
Different types of network topologies
Assignment Name: Different Types of Network Topologies
Department: Computer Science and Engineering
Course Name: Computer Networks
Course Code: CSE 317
Reliable and Efficient Routing in WLAN
The rapid need of wireless demands a great deal of security and reliable routing in order to keep all the data sources and equipments secure. In order to develop efficient and robust protocols, it is essential to understand the inherent characteristics of wireless networks such as connectivity, coverage and varying channel conditions. Wireless LAN introduces the concept that use can connect to any one at any place at anytime by using various mobile appliances that can be carried at any place. Now Communication is no longer limited to a one place by holding wired phones. This is the big boom to the I.T industry but it also brings a lot of opportunities and challenges for the Network Administrator who is looking after the Wireless LANs (WLAN). WLAN traffic travels over radio waves that cannot be constrained by the walls or any Simranjeet Kaur"Reliable and Efficient Routing in WLAN" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017, URL: http://www.ijtsrd.com/papers/ijtsrd3585.pdf http://www.ijtsrd.com/computer-science/computer-network/3585/reliable-and-efficient-routing-in-wlan/simranjeet-kaur
Network Topology
Network topologies describe the methods in which all the elements of a network are mapped
MULTI-OBJECTIVE OPTIMIZATION ASSISTED NETWORK CONDITION AWARE QOS-ROUTING PRO...
The exponential rise in wireless communication systems and allied applications has revitalized academiaindustries to achieve more efficient data transmission system to meet Quality-of-Service (QoS) demands. Amongst major wireless communication techniques, Mobile Ad-hoc Network (MANET) is found potential to provide decentralized and infrastructure less communication among multiple distributed nodes across network region. However, dynamic network conditions such as changing topology, congestion, packet drop, intrusion possibilities etc often make MANET’s routing a tedious task. On the other hand, mobile network feature broadens the horizon for intruders to penetrate the network and causes performance degradation. Unlike classical MANET protocols where major efforts have been made on single network parameter based routing decision, this research paper proposes a novel Elitist Genetic Algorithm (EGA) Multi-Objective Optimization assisted Network Condition Aware QoS-Routing Protocol for Mobile Ad-hoc Networks (MNCQM). Our proposed MNCQM protocol exhibits two phase implementation where at first it performs node-profiling under dynamic network topology for which three factors; irregular MAC information exchange, queuing overflow and topological variations have been considered. Towards this objective node features like Packet Forwarding Probability (PFP) at the MAC layer, Success Probability of Data Transmission (SPDT) of a neighboring node, and Probability of Successful Data Delivery (PSDD) have been obtained to estimate Node-Trustworthiness Index (NTI), which is further used to eliminate untrustworthy nodes. In the second phase of implementation, a novel Evolutionary Computing assisted nondisjoint best forwarding path selection model is developed that exploits node’s and allied link’s connectivity and availability features to identify the quasi-sub-optimal forwarding paths. EGA algorithm intends to reduce hop-counts, connectivity-loss and node or link unavailability to estimate best forwarding node. One key feature of the proposed model is dual-supplementary forwarding path selection that enables alternate path formation in case of link outage and thus avoids any iterative network discovery phase.
MULTI-OBJECTIVE OPTIMIZATION ASSISTED NETWORK CONDITION AWARE QOS-ROUTING PRO...
The exponential rise in wireless communication systems and allied applications has revitalized academiaindustries to achieve more efficient data transmission system to meet Quality-of-Service (QoS) demands. Amongst major wireless communication techniques, Mobile Ad-hoc Network (MANET) is found potential to provide decentralized and infrastructure less communication among multiple distributed nodes across network region. However, dynamic network conditions such as changing topology, congestion, packet drop, intrusion possibilities etc often make MANET’s routing a tedious task. On the other hand, mobile network feature broadens the horizon for intruders to penetrate the network and causes performance degradation. Unlike classical MANET protocols where major efforts have been made on single network parameter based routing decision, this research paper proposes a novel Elitist Genetic Algorithm (EGA) Multi-Objective Optimization assisted Network Condition Aware QoS-Routing Protocol for Mobile Ad-hoc Networks (MNCQM). Our proposed MNCQM protocol exhibits two phase implementation where at first it performs node-profiling under dynamic network topology for which three factors; irregular MAC information exchange, queuing overflow and topological variations have been considered. Towards this objective node features like Packet Forwarding Probability (PFP) at the MAC layer, Success Probability of Data Transmission (SPDT) of a neighboring node, and Probability of Successful Data Delivery (PSDD) have been obtained to estimate Node-Trustworthiness Index (NTI), which is further used to eliminate untrustworthy nodes. In the second phase of implementation, a novel Evolutionary Computing assisted nondisjoint best forwarding path selection model is developed that exploits node’s and allied link’s connectivity and availability features to identify the quasi-sub-optimal forwarding paths. EGA algorithm intends to reduce hop-counts, connectivity-loss and node or link unavailability to estimate best forwarding node. One key feature of the proposed model is dual-supplementary forwarding path selection that enables alternate path formation in case of link outage and thus avoids any iterative network discovery phase.
Computer Network Topology By Team_Diversity Detectives (Dept . of Sociology)
A network topology is the physical and logical arrangement of nodes and connect in a network.
Physical topology describes the layout of devices and cables, and logical topology describes the way in which data is transmitted within the network – regardless of the physical layout.
A Network Topology is the arrangement with which computer systems or network devices are connected to each other. Topologies may define both physical and logical aspect of the network. Both logical and physical topologies could be same or different in a same network.
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A network topology is the physical and logical arrangement of nodes and connections in a network. Nodes usually include devices such as switches, routers and software with switch and router features. Network topologies are often represented as a graph.
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AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
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Thank me later.
samsarthak31@gmail.com
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
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3:国家专业人才认证中心颁发入库证书
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6:个人职称评审加20分
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我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
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Standard Reomte Control Interface - Neometrix
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
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二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
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In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
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In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
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Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Immunizing Image Classifiers Against Localized Adversary Attacks
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
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introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
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and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
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6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
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Topology-Mapping the Pathways of Network Connectivity.pptx
- 1. Topology Mapping the Pathways of Network Connectivity 1
- 2. Presented by Group B Adil Mahmoud Rion Roll: 02 Batch: D63 Nazmul Hoda Roll: 46 Batch: D63 Sijan Mia Roll: 47 Batch: D63 Mohammad Hasib Roll: 41 Batch: D63 2 Date: 10 August 2023 Dhaka International University
- 3. Table of Contents Here’s what you’ll find in this Presentation: 1. What is Network Topology? 2. Importance of Network Topology? 3. Common Types of Network Topology 4. Hybrid Topologies 5. Network Mapping: Visualizing Connectivity 6. Optimizing Network Performance 7. Security Considerations 8. Future Trends in Network Topology 3
- 5. Importance of Network Topology Efficient data transmission and communication. Identifying potential bottlenecks and points of failure. Enhancing network performance and scalability. Optimal resource allocation and management 01 03 04 02 5
- 6. Common Types of Network Topology Central hub node connected to all other nodes. Star Topology Bus Topology All nodes are connected to a single communication line. Ring Topology Each node is connected to exactly two other nodes Mesh Topology Every node is connected to every other node 01 02 03 04 6
- 10. 10 Mesh Topology
- 11. Hybrid Topologies Hybrid Topologies - Combining two or more basic topologies to achieve desired characteristics. - Offers flexibility and improved performance. - Example: Star-Ring, Star-Bus, etc. 11
- 12. Network Mapping Helps network administrators to analyze and manage the network effectively. Network maps display the physical and logical connections between nodes. Tools: Network mapping software, visualizers, and monitoring tools. 12
- 13. Understanding topology to optimize data flow. Network Performance and Optimization Load balancing to distribute traffic evenly Identifying bottlenecks and resolving them. 13
- 14. Security Considerations Network topology affects security strategies. Segmentation to isolate sensitive data. Minimizing attack surfaces and enhancing defense mechanisms. 14
- 15. Future Trends in Network Topology Software-Defined Networking (SDN) for dynamic and flexible topology. Internet of Things (IoT) impacting network architecture and topology. Advancements in AI for automated network topology optimization. 15
- 16. Conclusion ● Network Topology is crucial for understanding network connectivity. ● Choose the right topology based on the specific network requirements. ● Continuously monitor and adapt topology for optimal performance and security. 16
- 17. Questions? 17
- 18. Reference ● https://cdn.pixabay.com/photo/2015/10/05/22/37/blank-profile-picture-973460_640.png ● https://www.dnsstuff.com/what-is-network-topology ● https://www.cisco.com/c/en/us/solutions/automation/network-topology.html ● https://www.geeksforgeeks.org/types-of-network-topology/ 18
- 19. Thanks! Do you have any questions? adilmahmoudrion.gmail.com +8801833449963 https://adilrion.vercel.app/ 19