IEEE 2014 DOTNET NETWORKING PROJECTS A proximity aware interest-clustered p2p...IEEEMEMTECHSTUDENTPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
IEEE 2014 DOTNET NETWORKING PROJECTS A proximity aware interest-clustered p2p...IEEEMEMTECHSTUDENTPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Intelligent Placement of Datacenters for Internet ServicesMaria Stylianou
Course: Execution Environments for Distributed Computing 6th Presentation (10-15min):
Intelligent Placement of Datacenters for Internet Services
Source: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5961695
Course: Execution Environments for Distributed Computing 2nd Presentation (5min): Why Use of REST for Web Services?
Specific tasks:
- Compare with SOAP
- Convince people
Course: Information Security
UPC - Universitat Politecnica de Catalunya
A forgotten presentation we did last year.
Just found it thanks to Arinto Murdopo :) http://www.slideshare.net/arinto
Intelligent Placement of Datacenters for Internet ServicesMaria Stylianou
Course: Execution Environments for Distributed Computing 6th Presentation (10-15min):
Intelligent Placement of Datacenters for Internet Services
Source: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5961695
Course: Execution Environments for Distributed Computing 2nd Presentation (5min): Why Use of REST for Web Services?
Specific tasks:
- Compare with SOAP
- Convince people
Course: Information Security
UPC - Universitat Politecnica de Catalunya
A forgotten presentation we did last year.
Just found it thanks to Arinto Murdopo :) http://www.slideshare.net/arinto
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.
distributed system chapter one introduction to distribued system.pdflematadese670
distributed system chapter one introduction to distribued system
Your score increases as you pick a category, fill out a long description and add more tags distributed system chapter one introduction to distribued system distributed system chapter one introduction to distribued system distributed system chapter one introduction to distribued system
A short presentation about Erlang, specifically designed for concurrency characteristics.
For the course: Scientific Writing and Communication (KTH Royal Institute of Technology)
Instrumenting the MG applicaiton of NAS Parallel BenchmarkMaria Stylianou
Course: Measurement Tools and Techniques (10-15min): Instrumenting the MG applicaiton of NAS Parallel Benchmark
Aim of this presentation: Show the steps followed for instrumenting the application.
Course: Execution Environments for Distributed Computing 3rd Presentation (10-12min): How Companies Learn Your Secrets?
- Why Big Data is important nowadays.
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.
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.
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.
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
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.
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/
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.
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.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
EEDC - 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-7 Group members: Georgia Christodoulidou – [email_address] Ioanna Tsalouchidou – [email_address] Maria Stylianou – [email_address]
The two most representative definitions for us are the ones from Coulouris and Tanenbaum. A distributed system is a collection of independent components located in a network, communicate with each other via msg passing and appears to the users as a single computer.
The definitions can be verified in the picture. We have 3 different machines, connected to the same network and communicate via message passing in the middleware level.
Why do we need DS First of all, we can distribute the workload among the different machines. That way the performance is improved and tasks are completed faster
Usually, people argue about the differences between distributed and parallel systems. The same system may be characterized as “parallel” and “distributed” at the same time. A main difference is that in distributed systems, there is no need of a shared memory, since the nodes communicate via message passing. Another difference is that there is no homogeneity. A distributed system consists of different types of hardware and software.
Having a Distributed System, it means that we need to face several issues, like….blah blah blah We are explaining these challenges a bit more later on.
The first challenge we face is the need of different components to inter-operate. Differences are encountered between components in…
In a distributed system, there are multiple failures.
New resource-sharing services should be added and be available to be used by the clients