Cloud computing is a type of Internet-based computing that provides shared computer processing resources and data to computers and other devices on demand. It is a model for enabling ubiquitous, on-demand access to a shared pool of configurable computing resources (e.g., computer networks, servers, storage, applications and services),
This presentation will highlight the key legal issues associated with cloud computing and some implementation methods for minimizing or mitigating those risks.
There are numerous legal issues in cloud computing like operational, legislative or regulatory, security, third party contractual limitations, risk allocation or mitigation, and jurisdictional issues. Security, privacy and confidentiality remain the biggest concern for the data owner, as when the data is stored on the cloud the same might be accessible to multiple users. There is concern for its safety and protection of valuable data and trade secrets. Then there are intellectual property issues regarding ownership of and rights in information and services placed in the cloud.
- Problems with traditional data centers.
- Cloud computing definition, deployment, and services models.
- Essential characteristics of cloud services.
- IaaS examples.
- PaaS examples.
- SaaS examples.
- Cloud enabling technologies such as grid computing, utility computing, service oriented architecture (SOA), The Internet, Multi-tenancy, Web 2.0, Automation and Virtualization.
Cloud computing is a type of Internet-based computing that provides shared computer processing resources and data to computers and other devices on demand. It is a model for enabling ubiquitous, on-demand access to a shared pool of configurable computing resources (e.g., computer networks, servers, storage, applications and services),
This presentation will highlight the key legal issues associated with cloud computing and some implementation methods for minimizing or mitigating those risks.
There are numerous legal issues in cloud computing like operational, legislative or regulatory, security, third party contractual limitations, risk allocation or mitigation, and jurisdictional issues. Security, privacy and confidentiality remain the biggest concern for the data owner, as when the data is stored on the cloud the same might be accessible to multiple users. There is concern for its safety and protection of valuable data and trade secrets. Then there are intellectual property issues regarding ownership of and rights in information and services placed in the cloud.
- Problems with traditional data centers.
- Cloud computing definition, deployment, and services models.
- Essential characteristics of cloud services.
- IaaS examples.
- PaaS examples.
- SaaS examples.
- Cloud enabling technologies such as grid computing, utility computing, service oriented architecture (SOA), The Internet, Multi-tenancy, Web 2.0, Automation and Virtualization.
Cloud computing is a pay-per-use model enabling convenient, on-demand network access to shared pool of configurable computing resources (e.g., networks, services, storage, applications and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction.
Unit 3 -Data storage and cloud computingMonishaNehkal
Data storage
Cloud storage
Cloud storage from LANs to WANs
Cloud computing services
Cloud computing at work
File system
Data management
Management services
Provides a simple and unambiguous taxonomy of three service models
- Software as a service (SaaS)
- Platform as a service (PaaS)
- Infrastructure as a service (IaaS)
(Private cloud, Community cloud, Public cloud, and Hybrid cloud)
Cloud computing is a pay-per-use model enabling convenient, on-demand network access to shared pool of configurable computing resources (e.g., networks, services, storage, applications and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction.
Unit 3 -Data storage and cloud computingMonishaNehkal
Data storage
Cloud storage
Cloud storage from LANs to WANs
Cloud computing services
Cloud computing at work
File system
Data management
Management services
Provides a simple and unambiguous taxonomy of three service models
- Software as a service (SaaS)
- Platform as a service (PaaS)
- Infrastructure as a service (IaaS)
(Private cloud, Community cloud, Public cloud, and Hybrid cloud)
The practice of using a network of remote servers hosted on the Internet to store, manage, and process data, rather than a local server or a personal computer.
With expanding volumes of knowledgeable production and the variability of themes and roots, shapes and languages, most detectable issues related to the delivery of storage space for the information and the variety of treatment strategies in addition to the problems related to the flow of information and methods
go down and take an interest in the advantage of them face the researchers. In any case, such a great significance comes with a support of a great infrastructure that includes large data centers comprising thousands of server units and other supporting equipment. The cloud is not a small, undeveloped branch of it, it is a type of computing that is based on the internet, an image from the internet. Cloud Computing is a
developed technology, cloud computing, possibly offers an overall economic benefit, in that end users shares a large, centrally achieved pool of storing and computing resources, rather than owning and managing their own systems. But, it needs to be environment friendly also. This review paper gives a general overview of cloud computing, also it describes cloud computing, architecture of cloud computing, characteristics of cloud computing, and different services and deployment model of cloud computing. This paper is for anyone who will have recently detected regarding cloud computing and desires to grasp a lot of regarding cloud computing.
With expanding volumes of knowledgeable production and the variability of themes and roots, shapes and languages, most detectable issues related to the delivery of storage space for the information and the variety of treatment strategies in addition to the problems related to the flow of information and methods go down and take an interest in the advantage of them face the researchers. In any case, such a great significance comes with a support of a great infrastructure that includes large data centers comprising thousands of server units and other supporting equipment. The cloud is not a small, undeveloped branch of it, it is a type of computing that is based on the internet, an image from the internet. Cloud Computing is a developed technology, cloud computing, possibly offers an overall economic benefit, in that end users shares a large, centrally achieved pool of storing and computing resources, rather than owning and managing their own systems. But, it needs to be environment friendly also. This review paper gives a general overview of cloud computing, also it describes cloud computing, architecture of cloud computing, characteristics of cloud computing, and different services and deployment model of cloud computing. This paper is for anyone who will have recently detected regarding cloud computing and desires to grasp a lot of regarding cloud computing.
this ppt is related to the introductory part of assembly language and will be very useful for beginners of information technology students either at their graduation level or at post graduation level
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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/
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
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
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.
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.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
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.
How world-class product teams are winning in the AI era by CEO and Founder, P...
Historical development of cloud computing
1. Historical Development of Cloud Computing
The history of cloud computing starts from the 1950’s and the work
done by AT & T in the area of telephone networking and the evolution
of these technologies which are present in today’s cloud
implementations.
At that time AT & T had already begun to develop an architecture
and system where data would be located centrally and accessed by
business through redesigned telephones and updated telephone
network.
So here we can easily understand that at that time this
establishment has been done in the area of telephone networking.
The IT services progressed over the decades with the adoption of
technologies such as Internet Service Providers (ISP) Application
service Providers.
2. Historical Development of Cloud Computing
One of the main principles of cloud computing from SAAS
(Software as a service) to provide storage on demand, is that the
computing capacity varies immediately and transparently with the
customer’s need.
Evolution of cloud technologies
All of the following types of computing technologies and architectures
share similarities with the benefits and architecture present in
today’s cloud implementations:-
Distributed Systems
A distributed system is a collection of independent computers that
appears to its users as a single system and also it acts as a single
computer.
The main and primary motive of distributed systems is to share
resources and to utilize them better.
3. Historical Development of Cloud Computing
This is absolutely true in case of cloud computing because in cloud
computing we are sharing the single resource by paying rent.
The resource is single because the definition of cloud computing
clearly states that in cloud computing the single central copy of a
particular software is stored in a sever (which is located on a
anonymous location ) and users are accessing that on PAY PER USE
BASIS.
Mainframes and thin client computing
It is highly reliable, powerful, centrally located form of computing
service. A user of a mainframe system may access applications
using a thin client(A thin client (sometimes also called a lean, zero
or slim client) is a computer or a computer program that depends
heavily on some other computer (its server) to fulfill its
computational roles)). These classic green screen systems
provides businesses with reliable and large scale processing power.
4. Historical Development of Cloud Computing
Each mainframe system is designed to run at a high level of
utilization without failure, and to support hardware up gradation.
The mainframes can host multiple virtual instances of operating
system and this is a crucial requirement for supporting scalability
within cloud computing
Utility Computing
Computing services that can be metered and billed to customers in
the same way that electricity or telephony system operate, are
known as utility computing services.
The concept of utility computing is also associated with the
commercialization of problem solving in supercomputing systems.
5. Historical Development of Cloud Computing
Grid and SuperComputing
The use of specialist supercomputers, or large number of
computers configured to run in parallel in a ‘grid’ to solve the
complex problems such as predicting the weather or decrypting
data encrypted with strong encrypting algorithms.
Scalability and on demand processing power
The use of a supercomputer or grid computing service provides a
level of scalability to those needing resources that may be too cost
prohibitive to purchase in house.
The processing power within these systems can be shared and
provided to multiple users concurrently to execute complex
software programs.
6. Historical Development of Cloud Computing
Web 2.0
The global presence of the internet and the introduction of
wireless networking and mobile devices featuring always on
internet connectivity has raised expectations of users and demand
for services over the internet.
Web 2.0 is the term given to describe a second generation of the
World Wide Web that is focused on the ability for people to
collaborate and share information online. Web 2.0 basically refers
to the transition from static HTML Web pages to a more dynamic
Web that is more organized and is based on serving Web
applications to users.
Other improved functionality of Web 2.0 includes open
communication with an emphasis on Web-based communities of
users, and more open sharing of information. Over time Web 2.0
has been used more as a marketing term than a computer-science-
based term. Blogs, wikis, and Web services are all seen as
components of Web 2.0.