The OSI model defines 7 layers of network communication:
1. The physical layer is responsible for the movement of individual bits from one node to the next.
2. The data link layer is responsible for moving frames from one hop to the next.
3. The network layer is responsible for the delivery of individual packets from the source host to the destination host.
A computer network is defined as the interconnection of two or more computers. It is done to enable the computers to communicate and share available resources.
Components of computer network
Network benefits
Disadvantages of computer network
Classification by their geographical area
Network classification by their component role
Types of servers
A computer network is defined as the interconnection of two or more computers. It is done to enable the computers to communicate and share available resources.
Components of computer network
Network benefits
Disadvantages of computer network
Classification by their geographical area
Network classification by their component role
Types of servers
Classification of Networks & Network topologiesPriyanka Nain
These are the slides regarding Computer Network means what is computer network.Classification of Network that consists of LAN,MAN & WAN. Then we have Network Topologies that are- Bus,Star,Ring,Mesh & Tree Topology.
One way to categorize the different types of computer network designs is by their scope or scale. For historical reasons, the networking industry refers to nearly every type of design as some kind of area network. Common types of area networks are:
LAN - Local Area Network
WAN - Wide Area Network
WLAN - Wireless Local Area Network
MAN - Metropolitan Area Network
SAN - Storage Area Network, System Area Network, Server Area Network, or sometimes Small Area Network
CAN - Campus Area Network, Controller Area Network, or sometimes Cluster Area Network
PAN - Personal Area Network
LAN and WAN are the two primary and best-known categories of area networks, while the others have emerged with technology advances
Classification of Networks & Network topologiesPriyanka Nain
These are the slides regarding Computer Network means what is computer network.Classification of Network that consists of LAN,MAN & WAN. Then we have Network Topologies that are- Bus,Star,Ring,Mesh & Tree Topology.
One way to categorize the different types of computer network designs is by their scope or scale. For historical reasons, the networking industry refers to nearly every type of design as some kind of area network. Common types of area networks are:
LAN - Local Area Network
WAN - Wide Area Network
WLAN - Wireless Local Area Network
MAN - Metropolitan Area Network
SAN - Storage Area Network, System Area Network, Server Area Network, or sometimes Small Area Network
CAN - Campus Area Network, Controller Area Network, or sometimes Cluster Area Network
PAN - Personal Area Network
LAN and WAN are the two primary and best-known categories of area networks, while the others have emerged with technology advances
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
2. Open Systems Interconnection (OSI) is a set
of internationally recognized, non-proprietary
standards for networking and for operating
system involved in networking functions.
3. 7 Layers
7. Application Layer
All
2. Presentation Layer People
3. Session Layer Seem
4. Transport Layer To
5. Network Layer
Need
Data
6. Data Link Layer
Processing
7. Physical Layer
5. LAYER 7 – The APPLICATION
Layer
• The top layer of the OSI model
• Provides a set of interfaces for sending and
receiving applications to gain access to and
use network services, such as: networked file
transfer, message handling and database
query processing
6. • The application layer is responsible for
providing services to the user.
7. LAYER 6 – The PRESENTATION Layer
• Manages data-format information for networked
communications (the network’s translator)
• For outgoing messages, it converts data into a generic format
for network transmission; for incoming messages, it converts data
from the generic network format to a format that the receiving
application can understand
• This layer is also responsible for certain protocol conversions,
data encryption/decryption, or data compression/decompression
• A special software facility called a “redirector” operates at this
layer to determine if a request is network related on not and
forward network-related requests to an appropriate network
resource
8. • The presentation layer is responsible for translation,
compression, and encryption.
9. LAYER 5 – The SESSION Layer
• Enables two networked resources to hold ongoing
communications (called a session) across a network
• Applications on either end of the session are able to ex
hange data for the duration of the session
• This layer is:
• Responsible for initiating, maintaining and terminating
sessions
• Responsible for security and access control to session
information (via session participant identification)
• Responsible for synchronization services, and for
checkpoint services
10. • The session layer is responsible for dialog
control and synchronization.
11. LAYER 4 – The TRANSPORT Layer
• Manages the transmission of data across a network
• Manages the flow of data between parties by
segmenting long data streams into smaller data chunks
(based on allowed “packet” size for a given
transmission medium)
• Reassembles chunks into their original sequence at
the receiving end
• Provides acknowledgements of successful
transmissions and requests resends for packets which
arrive with errors
12. • The transport layer is responsible for the delivery
of a message from one process to another.
13. LAYER 3 – The NETWORK Layer
• Handles addressing messages for delivery, as
well as translating logical network addresses and
names into their physical counterparts
• Responsible for deciding how to route
transmissions between computers
• This layer also handles the decisions needed
to get data from one point to the next point along
a network path
• This layer also handles packet switching and
network congestion control
14. • The network layer is responsible for the
delivery of individual packets from
• the source host to the destination host.
15. LAYER 2 – The DATA LINK Layer
• Handles special data frames (packets) between
the Network layer and the Physical layer
• At the receiving end, this layer packages raw
data from the physical layer into data frames for
delivery to the Network layer
• At the sending end this layer handles
conversion of data into raw formats that can be
handled by the Physical Layer
16. • The data link layer is responsible for moving
frames from one hop (node) to the next.
17. LAYER 1 – The PHYSICAL Layer
• Converts bits into electronic signals for outgoing messages
• Converts electronic signals into bits for incoming messages
• This layer manages the interface between the the computer and
the network medium (coax, twisted pair, etc.)
• This layer tells the driver software for the MAU (media
attachment unit, ex. network interface cards (NICs, modems, etc.))
what needs to be sent across the medium
• The bottom layer of the OSI model
•
18. • The physical layer is responsible for movements of
• individual bits from one hop (node) to the next.
19. Remember
• A convenient aid for remembering the OSI
layer names is to use the first letter of each
word in the phrase:
• All People Seem To Need Data Processing