Unicast Routing Protocols:RIP, OSPF, and BGP
Objectives
Upon completion you will be able to:
Distinguish between intra and interdomain routing
Understand distance vector routing and RIP
Understand link state routing and OSPF
Understand path vector routing and BGP
14.1 INTRA- AND INTERDOMAIN ROUTING
Routing inside an autonomous system is referred to as intradomain routing. Routing between autonomous systems is referred to as interdomain routing.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Unicast Routing Protocols:RIP, OSPF, and BGP
Objectives
Upon completion you will be able to:
Distinguish between intra and interdomain routing
Understand distance vector routing and RIP
Understand link state routing and OSPF
Understand path vector routing and BGP
14.1 INTRA- AND INTERDOMAIN ROUTING
Routing inside an autonomous system is referred to as intradomain routing. Routing between autonomous systems is referred to as interdomain routing.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
An Approach to Detecting Writing Styles Based on Clustering Techniquesambekarshweta25
An Approach to Detecting Writing Styles Based on Clustering Techniques
Authors:
-Devkinandan Jagtap
-Shweta Ambekar
-Harshit Singh
-Nakul Sharma (Assistant Professor)
Institution:
VIIT Pune, India
Abstract:
This paper proposes a system to differentiate between human-generated and AI-generated texts using stylometric analysis. The system analyzes text files and classifies writing styles by employing various clustering algorithms, such as k-means, k-means++, hierarchical, and DBSCAN. The effectiveness of these algorithms is measured using silhouette scores. The system successfully identifies distinct writing styles within documents, demonstrating its potential for plagiarism detection.
Introduction:
Stylometry, the study of linguistic and structural features in texts, is used for tasks like plagiarism detection, genre separation, and author verification. This paper leverages stylometric analysis to identify different writing styles and improve plagiarism detection methods.
Methodology:
The system includes data collection, preprocessing, feature extraction, dimensional reduction, machine learning models for clustering, and performance comparison using silhouette scores. Feature extraction focuses on lexical features, vocabulary richness, and readability scores. The study uses a small dataset of texts from various authors and employs algorithms like k-means, k-means++, hierarchical clustering, and DBSCAN for clustering.
Results:
Experiments show that the system effectively identifies writing styles, with silhouette scores indicating reasonable to strong clustering when k=2. As the number of clusters increases, the silhouette scores decrease, indicating a drop in accuracy. K-means and k-means++ perform similarly, while hierarchical clustering is less optimized.
Conclusion and Future Work:
The system works well for distinguishing writing styles with two clusters but becomes less accurate as the number of clusters increases. Future research could focus on adding more parameters and optimizing the methodology to improve accuracy with higher cluster values. This system can enhance existing plagiarism detection tools, especially in academic settings.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
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Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
1. 1
Chapter 7
Upon completion you will be able to:
ARP and RARP
• Understand the need for ARP
• Understand the cases in which ARP is used
• Understand the components and interactions in an ARP package
• Understand the need for RARP
Objectives
4. 4
7.1 ARP
ARP associates an IP address with its physical address. On a typical
physical network, such as a LAN, each device on a link is identified by a
physical or station address that is usually imprinted on the NIC.
The topics discussed in this section include:
Packet Format
Encapsulation
Operation
ARP over ATM
Proxy ARP
10. TCP/IP Protocol Suite 10
A host with IP address 130.23.43.20 and physical
address B2:34:55:10:22:10 has a packet to send to
another host with IP address 130.23.43.25 and
physical address A4:6E:F4:59:83:AB (which is
unknown to the first host). The two hosts are on the
same Ethernet network. Show the ARP request and
reply packets encapsulated in Ethernet frames.
Example 1
See Next Slide
11. TCP/IP Protocol Suite 11
Solution
Figure 7.7 shows the ARP request and reply packets.
Note that the ARP data field in this case is 28 bytes,
and that the individual addresses do not fit in the 4-
byte boundary. That is why we do not show the
regular 4-byte boundaries for these addresses. Also
note that the IP addresses are shown in hexadecimal.
For information on binary or hexadecimal notation
see Appendix B.
Example 1 (Continued)
See Next Slide
14. TCP/IP Protocol Suite 14
7.2 ARP PACKAGE
In this section, we give an example of a simplified ARP software package
to show the components and the relationships between the components.
This ARP package involves five modules: a cache table, queues, an
output module, an input module, and a cache-control module.
The topics discussed in this section include:
Cache Table
Queues
Output Module
Input Module
Cache-Control Module
17. TCP/IP Protocol Suite 17
The ARP output module receives an IP datagram
(from the IP layer) with the destination address
114.5.7.89. It checks the cache table and finds that an
entry exists for this destination with the RESOLVED
state (R in the table). It extracts the hardware address,
which is 457342ACAE32, and sends the packet and
the address to the data link layer for transmission.
The cache table remains the same.
Example 2
18. TCP/IP Protocol Suite 18
Twenty seconds later, the ARP output module receives
an IP datagram (from the IP layer) with the
destination address 116.1.7.22. It checks the cache
table and does not find this destination in the table.
The module adds an entry to the table with the state
PENDING and the Attempt value 1. It creates a new
queue for this destination and enqueues the packet. It
then sends an ARP request to the data link layer for
this destination. The new cache table is shown in
Table 7.2.
Example 3
See Next Slide
20. TCP/IP Protocol Suite 20
Fifteen seconds later, the ARP input module receives
an ARP packet with target protocol (IP) address
188.11.8.71. The module checks the table and finds
this address. It changes the state of the entry to
RESOLVED and sets the time-out value to 900. The
module then adds the target hardware address
(E34573242ACA) to the entry. Now it accesses queue
18 and sends all the packets in this queue, one by one,
to the data link layer. The new cache table is shown in
Table 7.3.
Example 4
See Next Slide
22. TCP/IP Protocol Suite 22
Twenty-five seconds later, the cache-control module
updates every entry. The time-out values for the first
three resolved entries are decremented by 60. The
time-out value for the last resolved entry is
decremented by 25. The state of the next-to-the last
entry is changed to FREE because the time-out is
zero. For each of the three pending entries, the value
of the attempts
Example 5
See Next Slide
24. TCP/IP Protocol Suite 24
7.3 RARP
RARP finds the logical address for a machine that only knows its
physical address.
The topics discussed in this section include:
Packet Format
Encapsulation
RARP Server
Alternative Solutions to RARP
25. TCP/IP Protocol Suite 25
The RARP request packets are broadcast;
the RARP reply packets are unicast.
Note: