The document defines distributed systems as a set of autonomous computational resources that communicate through a network to achieve a common goal. It discusses key concepts like cooperation, autonomy, and communication in distributed systems. It also covers advantages like reliability, resource sharing, and scalability, as well as disadvantages like security and complexity. The document then discusses the evolution of distributed systems and various architectural models like master-worker, client-server, and peer-to-peer. Finally, it outlines several fields of application for distributed systems like computer science, science/engineering, business, and public administration.
Simplify Distributed Systems with Frameworks from Enea Element - a whitepaper on how to design systems that are scalable, manageable, and highly available.
Simplify Distributed Systems with Frameworks from Enea Element - a whitepaper on how to design systems that are scalable, manageable, and highly available.
A computer network is a group of computer systems and other computing hardware devices that are linked together through communication channels to facilitate communication and resource-sharing among a wide range of users. Networks are commonly categorized based on their characteristics.
One of the earliest examples of a computer network was a network of communicating computers that functioned as part of the U.S. military's Semi-Automatic Ground Environment (SAGE) radar system. In 1969, the University of California at Los Angeles, the Stanford Research Institute, the University of California at Santa Barbara and the University of Utah were connected as part of the Advanced Research Projects Agency Network (ARPANET) project. It is this network that evolved to become what we now call the internet.
Networks are used to:
Facilitate communication via email, video conferencing, instant messaging, etc.
Enable multiple users to share a single hardware device like a printer or scanner
Enable file sharing across the network
Allow for the sharing of software or operating programs on remote systems
Make information easier to access and maintain among network users
There are many types of networks, including:
Local Area Networks (LAN)
Personal Area Networks (PAN)
Home Area Networks (HAN)
Wide Area Networks (WAN)
Campus Networks
Metropolitan Area Networks (MAN)
Enterprise Private Networks
Internetworks
Backbone Networks (BBN)
Global Area Networks (GAN)
The Internet
Introduction
Distributed Operating system
Evaluation of distributed computing system
Models
Gaining Popularity
Operating system
Issues in designing DOS
DCE
DCE component
Computer networks
Network types
Lan Technologies
tan technologies
wan technologies
WAN Switching Techniques
Communication Protocols
Protocols for DOS
Internetworking
Interconnection technique
Network management techniques
ATM technologies
Illustrate this Basic concept of Computer networks and
distributed systems, Goals of networking, General approaches of communication
within a network, Network classification, Uses & Network Software's.
A computer network is a group of computer systems and other computing hardware devices that are linked together through communication channels to facilitate communication and resource-sharing among a wide range of users. Networks are commonly categorized based on their characteristics.
One of the earliest examples of a computer network was a network of communicating computers that functioned as part of the U.S. military's Semi-Automatic Ground Environment (SAGE) radar system. In 1969, the University of California at Los Angeles, the Stanford Research Institute, the University of California at Santa Barbara and the University of Utah were connected as part of the Advanced Research Projects Agency Network (ARPANET) project. It is this network that evolved to become what we now call the internet.
Networks are used to:
Facilitate communication via email, video conferencing, instant messaging, etc.
Enable multiple users to share a single hardware device like a printer or scanner
Enable file sharing across the network
Allow for the sharing of software or operating programs on remote systems
Make information easier to access and maintain among network users
There are many types of networks, including:
Local Area Networks (LAN)
Personal Area Networks (PAN)
Home Area Networks (HAN)
Wide Area Networks (WAN)
Campus Networks
Metropolitan Area Networks (MAN)
Enterprise Private Networks
Internetworks
Backbone Networks (BBN)
Global Area Networks (GAN)
The Internet
Introduction
Distributed Operating system
Evaluation of distributed computing system
Models
Gaining Popularity
Operating system
Issues in designing DOS
DCE
DCE component
Computer networks
Network types
Lan Technologies
tan technologies
wan technologies
WAN Switching Techniques
Communication Protocols
Protocols for DOS
Internetworking
Interconnection technique
Network management techniques
ATM technologies
Illustrate this Basic concept of Computer networks and
distributed systems, Goals of networking, General approaches of communication
within a network, Network classification, Uses & Network Software's.
Distributed System Unit 1 Notes by Dr. Nilam Choudhary, SKIT JaipurDrNilam Choudhary
Distributed System is a collection of autonomous computer systems that are physically separated but are connected by a centralized computer network that is equipped with distributed system software. The autonomous computers will communicate among each system by sharing resources and files and performing the tasks assigned to them.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
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.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Distributed systems
1. Execution Environments for Distributed Computing Distributed Systems EEDC 34330 Master in Computer Architecture, Networks and Systems - CANS Homework number: 1 Group number: EEDC-30 Group members: Javier Álvarez [email_address] Francesc Lordan [email_address] Roger Rafanell [email_address]
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3. Execution Environments for Distributed Computing Part 1 Definition EEDC 34330 Master in Computer Architecture, Networks and Systems - CANS
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8. Execution Environments for Distributed Computing Part 2 Evolution and Architectures EEDC 34330 Master in Computer Architecture, Networks and Systems - CANS
9. Evolution 1951 UNIVAC Internet 1995 Packet Switching & First WAN 1965 1969 ARPANET 1973 TCP/IP ENIAC 1945 First conference in distributed computing 1982 Utility Computing 1961 1996 Volunteer Computing Cloud Computing 2007 1964 First Supercomputer (CDC 6600) MPI 1992 P2P Systems 1999 1998 SOAP Grid Computing 1990 1991 WWW
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12. Execution Environments for Distributed Computing Part 3 Fields of application EEDC 34330 Master in Computer Architecture, Networks and Systems - CANS
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16. Execution Environments for Distributed Computing Part 4 Questions EEDC 34330 Master in Computer Architecture, Networks and Systems - CANS
![Execution Environments for Distributed Computing Distributed Systems EEDC 34330 Master in Computer Architecture, Networks and Systems - CANS Homework number: 1 Group number: EEDC-30 Group members: Javier Álvarez [email_address] Francesc Lordan [email_address] Roger Rafanell [email_address]](https://image.slidesharecdn.com/distributedsystems-120223105732-phpapp01/85/Distributed-systems-1-320.jpg)
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