This document provides an introduction to cloud computing. It discusses early models of cloud computing including grid computing and utility computing. It describes the main cloud delivery models of Infrastructure as a Service, Platform as a Service, and Software as a Service. The document also outlines some of the ethical issues and vulnerabilities of cloud computing, and briefly discusses parallel computing and distributed systems.
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services over the internet. It addresses challenges with conventional computing like high costs of software licensing, limited scalability and physical security issues. Cloud computing delivers resources as a service on a pay-per-use basis and provides advantages like lower costs, better service levels, rapid scalability and low maintenance requirements.
Use of cloud computing technology as an application in librariesDr. Mohd Asif Khan
Cloud computing Technology changing rapidly and is forming a layer that is touching each and every aspect of life like power grids, traffic control, medical and health care, water supply, food and energy library science is not exception to it. Information technology impacted positively on library and information system and services they provide for users. The libraries have been automated, networked and now moving towards manual libraries to paper less or virtual libraries. To gather challenges in the profession librarians are also applying different platforms in Library science filed for attaining economy in information handling. This paper overviews the basic concept of newly develop area known as cloud computing. The use of cloud computing in libraries and how cloud computing actually works is illustrated in this communication.
A Virtualization Model for Cloud ComputingSouvik Pal
Cloud Computing is now a very emerging field in the IT industry as well as research field. The advancement of Cloud Computing came up due to fast-growing usage of internet among the people. Cloud Computing is basically on-demand network access to a collection of physical resources which can be provisioned according to the need of cloud user under the supervision of Cloud Service provider interaction. From business prospective, the viable achievements of Cloud Computing and recent developments in Grid computing have brought the platform that has introduced virtualization technology into the era of high performance computing. Virtualization technology is widely applied to modern data center for cloud computing. Virtualization is used computer resources to imitate other computer resources or whole computers. This paper provides a Virtualization model for cloud computing that may lead to faster access and better performance. This model may help to combine self-service capabilities and ready-to-use facilities for computing resources.
The document discusses cloud computing, including its history, definition, types, service providers, benefits and drawbacks. It defines cloud computing as delivering IT services over the internet rather than a direct connection, with data and software stored on servers. The main types of cloud discussed are private, public, hybrid and community clouds. Common cloud services covered include Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), Hardware as a Service (HaaS), and Database as a Service (DaaS). The document also compares cloud computing to other models like cluster and grid computing.
This document discusses applications of cloud computing for power systems. It begins with an introduction to cloud computing and its potential benefits for power systems. It then describes different types of cloud computing models including public, private, and hybrid clouds. It also discusses the three main cloud service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The document provides examples of cloud-based power system applications such as energy monitoring systems, SCADA configurations, and comparisons of smart grids with and without cloud integration. It concludes that cloud computing can help power systems by providing scalable computing resources and facilitating data processing and system monitoring.
ANALYSIS OF THE COMPARISON OF SELECTIVE CLOUD VENDORS SERVICESijccsa
Cloud computing refers to a location that allows us to preserve our precious data and use computing and
networking services on a pay-as-you-go basis without the need for a physical infrastructure. Cloud
computing now provides us with powerful data processing and storage, exceptional availability and
security, rapid accessibility and adaption, ensured flexibility and interoperability, and time and cost
efficiency. Cloud computing offers three platforms (IaaS, PaaS, and SaaS) with unique capabilities that
promise to make it easier for a customer, organization, or trade to establish any type of IT business. We
compared a variety of cloud service characteristics in this article, following the comparing, it's
straightforward to pick a specific cloud service from the possible options by comparison with three chosen
cloud providers such as Amazon, Microsoft Azure, and Digital Ocean. By using findings of this study to not
only identify similarities and contrasts across various aspects of cloud computing, as well as to suggest
some areas for further study.
The document provides an overview of cloud computing concepts including definitions, characteristics, deployment and service models. It defines cloud computing as providing on-demand access to computing resources and applications over the internet. The key characteristics are on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. The common deployment models are public, private and hybrid clouds. The main service models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services over the internet. It addresses challenges with conventional computing like high costs of software licensing, limited scalability and physical security issues. Cloud computing delivers resources as a service on a pay-per-use basis and provides advantages like lower costs, better service levels, rapid scalability and low maintenance requirements.
Use of cloud computing technology as an application in librariesDr. Mohd Asif Khan
Cloud computing Technology changing rapidly and is forming a layer that is touching each and every aspect of life like power grids, traffic control, medical and health care, water supply, food and energy library science is not exception to it. Information technology impacted positively on library and information system and services they provide for users. The libraries have been automated, networked and now moving towards manual libraries to paper less or virtual libraries. To gather challenges in the profession librarians are also applying different platforms in Library science filed for attaining economy in information handling. This paper overviews the basic concept of newly develop area known as cloud computing. The use of cloud computing in libraries and how cloud computing actually works is illustrated in this communication.
A Virtualization Model for Cloud ComputingSouvik Pal
Cloud Computing is now a very emerging field in the IT industry as well as research field. The advancement of Cloud Computing came up due to fast-growing usage of internet among the people. Cloud Computing is basically on-demand network access to a collection of physical resources which can be provisioned according to the need of cloud user under the supervision of Cloud Service provider interaction. From business prospective, the viable achievements of Cloud Computing and recent developments in Grid computing have brought the platform that has introduced virtualization technology into the era of high performance computing. Virtualization technology is widely applied to modern data center for cloud computing. Virtualization is used computer resources to imitate other computer resources or whole computers. This paper provides a Virtualization model for cloud computing that may lead to faster access and better performance. This model may help to combine self-service capabilities and ready-to-use facilities for computing resources.
The document discusses cloud computing, including its history, definition, types, service providers, benefits and drawbacks. It defines cloud computing as delivering IT services over the internet rather than a direct connection, with data and software stored on servers. The main types of cloud discussed are private, public, hybrid and community clouds. Common cloud services covered include Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), Hardware as a Service (HaaS), and Database as a Service (DaaS). The document also compares cloud computing to other models like cluster and grid computing.
This document discusses applications of cloud computing for power systems. It begins with an introduction to cloud computing and its potential benefits for power systems. It then describes different types of cloud computing models including public, private, and hybrid clouds. It also discusses the three main cloud service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The document provides examples of cloud-based power system applications such as energy monitoring systems, SCADA configurations, and comparisons of smart grids with and without cloud integration. It concludes that cloud computing can help power systems by providing scalable computing resources and facilitating data processing and system monitoring.
ANALYSIS OF THE COMPARISON OF SELECTIVE CLOUD VENDORS SERVICESijccsa
Cloud computing refers to a location that allows us to preserve our precious data and use computing and
networking services on a pay-as-you-go basis without the need for a physical infrastructure. Cloud
computing now provides us with powerful data processing and storage, exceptional availability and
security, rapid accessibility and adaption, ensured flexibility and interoperability, and time and cost
efficiency. Cloud computing offers three platforms (IaaS, PaaS, and SaaS) with unique capabilities that
promise to make it easier for a customer, organization, or trade to establish any type of IT business. We
compared a variety of cloud service characteristics in this article, following the comparing, it's
straightforward to pick a specific cloud service from the possible options by comparison with three chosen
cloud providers such as Amazon, Microsoft Azure, and Digital Ocean. By using findings of this study to not
only identify similarities and contrasts across various aspects of cloud computing, as well as to suggest
some areas for further study.
The document provides an overview of cloud computing concepts including definitions, characteristics, deployment and service models. It defines cloud computing as providing on-demand access to computing resources and applications over the internet. The key characteristics are on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. The common deployment models are public, private and hybrid clouds. The main service models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
Cloud computing basically involves delivering hosted services over the Internet to store, manage, and process data, instead of using local server or a personal computer. These services are broadly divided into three categories: Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS). In scientific terms, cloud computing is a synonym for distributed computing over a network which means the ability to run a program on many connected computers at the same time. Therefore it involves a large number of computers that are connected through a real-time communication network.
This document discusses 10 key research areas in cloud computing:
1. The Green Cloud - Improving energy efficiency and reducing consumption in cloud data centers.
2. Denial of Service issues - Addressing attacks that restrict access to cloud resources.
3. Cloud Verification, Validation and Testing - Developing strategies for testing cloud software, applications and designs.
4. Cloud Security - Ensuring secure architectures and managing security across distributed cloud networks.
The document discusses cloud computing, including its definition, types (public, private, hybrid clouds), services provided (SaaS, PaaS, IaaS), advantages like reduced costs and universal access, and limitations such as security issues and potential downtime. It provides definitions of cloud computing from various sources and outlines the major types of cloud deployment models and services. Current leaders in the cloud computing industry are also mentioned.
1. Cloud computing involves delivering computing resources and services over the internet instead of relying on local servers or personal computers. It enables users to access applications and store/process data using remote servers.
2. There are three main types of cloud computing services: Infrastructure as a Service (IaaS) provides virtual computing resources; Platform as a Service (PaaS) offers platforms for developing applications; and Software as a Service (SaaS) delivers fully functional applications over the internet.
3. The main deployment models are public clouds which are owned by third parties and available publicly, private clouds which are dedicated to a single organization, and hybrid clouds which combine public and private clouds.
The origin of the term cloud computing is unclear but it refers to computing resources that are dynamically provisioned over the internet. Early concepts of cloud computing involved time-sharing mainframe computers in the 1950s and virtual machines in the 1970s. Telecommunications companies started offering virtual private networks in the 1990s. Grid computing, utility computing, SaaS, and cloud computing evolved the concept further, providing on-demand access to computing resources and applications delivered as a service.
Unit I Fundamentals of Cloud Computing.pptxRahul Borate
Cloud computing provides on-demand access to shared computing resources like servers, storage, databases, networking, software and analytics over the internet. It offers advantages like lower costs, flexibility, scalability and productivity gains. There are different cloud deployment models including public, private and hybrid clouds. Common uses of cloud computing include storing and backing up data, running applications, analyzing data, and delivering software as a service. While cloud computing provides many benefits, challenges still exist around availability, data security, performance unpredictability and resource management across large, shared infrastructures.
Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. It provides users the ability to store and access their data and programs from any computer or mobile device with internet access. The key benefits of cloud computing are lower costs, universal data access, and scalability. However, it also poses security and reliability risks due to dependence on a third-party provider and constant internet connection.
Cloud computing allows users to access computing resources like servers, storage, databases, networking, software, analytics and more over the internet. It provides scalability, reliability and cost savings. There are different cloud service models like Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). Users can choose between public, private or hybrid cloud deployment models based on their needs.
Abstract--The paper identifies the issues and the solution to overcome these problems. Cloud computing is a subscription based service where we can obtain networked storage space and computer resources. This technology has the capacity to admittance a common collection of resources on request. It is the application provided in the form of service over the internet and system hardware in the data centers that gives these services. But having many advantages for IT organizations cloud has some issues that must be consider during its deployment. The main concern is security privacy and trust. There are various issues that need to be dealt with respect to security and privacy in a cloud computing scenario [4].
Keywords--Cloud, Issues, Security, Privacy, Resources, Technology.
This document discusses cloud computing and provides definitions, types of cloud, services provided, and advantages. Cloud computing is defined as on-demand access to shared computing resources like networks, servers, storage, applications and services available over the internet on a pay-per-use basis. The types of cloud include public, private, hybrid and community clouds. Key services are Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Advantages include reduced costs, universal access, flexibility, and potential to be more green and economical.
Public cloud is a cloud computing model where computing resources are dynamically provisioned on-demand via the internet from an off-site third-party provider. It offers flexible resources, scalability, and a pay-per-use model but has less security and customization than private cloud. Popular public cloud providers include Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
The document discusses cloud computing, defining it as a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Some key points:
- Cloud computing builds on distributed computing approaches like grid computing by centralizing computation and storage in distributed data centers managed by third parties.
- It aims to provide IT services on-demand with flexibility, availability, reliability and scalability using a utility computing model.
- Cloud computing architectures involve multiple cloud components communicating over APIs, resembling the Unix philosophy of multiple programs working together over universal interfaces.
Cloud computing provides dynamically scalable resources as a service over the Internet. It consists of interconnected, virtualized computers that are provisioned and presented as unified resources. Services include infrastructure, platform and software and are accessed from any device via the Internet in a pay-as-you-go manner. Key enabling technologies include virtualization, web services, service-oriented architecture, and mashups. Features include on-demand scaling, location independence via any device, quality of service guarantees, and no upfront capital costs as users pay for what they use. Major providers offer platforms for deployment of applications and services.
The document discusses various aspects of cloud computing including:
- Cloud computing provides on-demand access to computing resources that can scale up or down depending on needs.
- It evolved from concepts like virtualization, utility computing, and service-oriented architecture.
- The basic components of cloud computing include clients, services, applications, platforms, storage, and infrastructure.
- Common cloud computing models are Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS).
This document provides an overview of distributed computing paradigms such as cloud computing, jungle computing, and fog computing. It defines distributed computing as utilizing multiple autonomous computers located across different areas to solve large problems. Cloud computing is described as internet-based computing using shared online resources and data storage. Jungle computing combines distributed systems for high performance, while fog computing extends cloud computing to network edges for low latency applications. The document discusses characteristics, architectures, advantages and disadvantages of these paradigms.
An Overview on Security Issues in Cloud ComputingIOSR Journals
This document discusses security issues in cloud computing. It begins by defining cloud computing and its service models, including software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). It then discusses that security is the top challenge for cloud computing according to a survey of IT executives. Specifically, there are concerns about maintaining security, compliance, and control over critical applications and sensitive data when using public cloud environments. The document goes on to provide more details on cloud computing definitions, characteristics, architectures, and the specific security issues involved in cloud computing.
Cloud computing is a model that enables network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort. It involves delivering hosted services like servers, storage, databases, networking, analytics and software over the internet. Key characteristics include on-demand self-service, broad network access, resource pooling, rapid elasticity, and being measured as a utility.
This document provides an overview of cloud computing, including what it is, examples of cloud computing applications and services, how it works, characteristics, types of cloud computing (public, private, hybrid, community cloud), advantages like cost efficiency and unlimited storage, and disadvantages like security, privacy, and loss of control. The document contains 13 sections that cover topics such as what is cloud computing, uses of cloud computing, working of cloud computing, types of cloud computing, advantages and disadvantages.
This document discusses cloud computing and provides definitions and characteristics. It describes the different deployment and service models of cloud computing including private cloud, public cloud, community cloud, hybrid cloud, software as a service, platform as a service, and infrastructure as a service. It also discusses virtualization and its role in cloud computing, the relationship between cloud computing and the internet of things, and some security issues related to cloud placing control in the hands of vendors.
This course provides an introduction to cloud computing. It will cover fundamental cloud technologies, service providers, data center design, and how cloud services are developed and deployed. The course has no textbook and consists of overview lectures along with student presentations on selected topics. Students are required to attend all sessions, give one presentation, and complete homework assignments but there is no exam. The course is divided into sessions covering technologies like distributed systems, data center networking, virtualization, storage, and security. Students will present on topics within each session.
This document provides an overview of convolutional neural networks (CNNs). It explains that CNNs are a type of neural network that has been successfully applied to analyzing visual imagery. The document then discusses the motivation and biology behind CNNs, describes common CNN architectures, and explains the key operations of convolution, nonlinearity, pooling, and fully connected layers. It provides examples of CNN applications in computer vision tasks like image classification, object detection, and speech recognition. Finally, it notes several large tech companies that utilize CNNs for features like automatic tagging, photo search, and personalized recommendations.
Cloud computing basically involves delivering hosted services over the Internet to store, manage, and process data, instead of using local server or a personal computer. These services are broadly divided into three categories: Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS). In scientific terms, cloud computing is a synonym for distributed computing over a network which means the ability to run a program on many connected computers at the same time. Therefore it involves a large number of computers that are connected through a real-time communication network.
This document discusses 10 key research areas in cloud computing:
1. The Green Cloud - Improving energy efficiency and reducing consumption in cloud data centers.
2. Denial of Service issues - Addressing attacks that restrict access to cloud resources.
3. Cloud Verification, Validation and Testing - Developing strategies for testing cloud software, applications and designs.
4. Cloud Security - Ensuring secure architectures and managing security across distributed cloud networks.
The document discusses cloud computing, including its definition, types (public, private, hybrid clouds), services provided (SaaS, PaaS, IaaS), advantages like reduced costs and universal access, and limitations such as security issues and potential downtime. It provides definitions of cloud computing from various sources and outlines the major types of cloud deployment models and services. Current leaders in the cloud computing industry are also mentioned.
1. Cloud computing involves delivering computing resources and services over the internet instead of relying on local servers or personal computers. It enables users to access applications and store/process data using remote servers.
2. There are three main types of cloud computing services: Infrastructure as a Service (IaaS) provides virtual computing resources; Platform as a Service (PaaS) offers platforms for developing applications; and Software as a Service (SaaS) delivers fully functional applications over the internet.
3. The main deployment models are public clouds which are owned by third parties and available publicly, private clouds which are dedicated to a single organization, and hybrid clouds which combine public and private clouds.
The origin of the term cloud computing is unclear but it refers to computing resources that are dynamically provisioned over the internet. Early concepts of cloud computing involved time-sharing mainframe computers in the 1950s and virtual machines in the 1970s. Telecommunications companies started offering virtual private networks in the 1990s. Grid computing, utility computing, SaaS, and cloud computing evolved the concept further, providing on-demand access to computing resources and applications delivered as a service.
Unit I Fundamentals of Cloud Computing.pptxRahul Borate
Cloud computing provides on-demand access to shared computing resources like servers, storage, databases, networking, software and analytics over the internet. It offers advantages like lower costs, flexibility, scalability and productivity gains. There are different cloud deployment models including public, private and hybrid clouds. Common uses of cloud computing include storing and backing up data, running applications, analyzing data, and delivering software as a service. While cloud computing provides many benefits, challenges still exist around availability, data security, performance unpredictability and resource management across large, shared infrastructures.
Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. It provides users the ability to store and access their data and programs from any computer or mobile device with internet access. The key benefits of cloud computing are lower costs, universal data access, and scalability. However, it also poses security and reliability risks due to dependence on a third-party provider and constant internet connection.
Cloud computing allows users to access computing resources like servers, storage, databases, networking, software, analytics and more over the internet. It provides scalability, reliability and cost savings. There are different cloud service models like Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). Users can choose between public, private or hybrid cloud deployment models based on their needs.
Abstract--The paper identifies the issues and the solution to overcome these problems. Cloud computing is a subscription based service where we can obtain networked storage space and computer resources. This technology has the capacity to admittance a common collection of resources on request. It is the application provided in the form of service over the internet and system hardware in the data centers that gives these services. But having many advantages for IT organizations cloud has some issues that must be consider during its deployment. The main concern is security privacy and trust. There are various issues that need to be dealt with respect to security and privacy in a cloud computing scenario [4].
Keywords--Cloud, Issues, Security, Privacy, Resources, Technology.
This document discusses cloud computing and provides definitions, types of cloud, services provided, and advantages. Cloud computing is defined as on-demand access to shared computing resources like networks, servers, storage, applications and services available over the internet on a pay-per-use basis. The types of cloud include public, private, hybrid and community clouds. Key services are Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Advantages include reduced costs, universal access, flexibility, and potential to be more green and economical.
Public cloud is a cloud computing model where computing resources are dynamically provisioned on-demand via the internet from an off-site third-party provider. It offers flexible resources, scalability, and a pay-per-use model but has less security and customization than private cloud. Popular public cloud providers include Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
The document discusses cloud computing, defining it as a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Some key points:
- Cloud computing builds on distributed computing approaches like grid computing by centralizing computation and storage in distributed data centers managed by third parties.
- It aims to provide IT services on-demand with flexibility, availability, reliability and scalability using a utility computing model.
- Cloud computing architectures involve multiple cloud components communicating over APIs, resembling the Unix philosophy of multiple programs working together over universal interfaces.
Cloud computing provides dynamically scalable resources as a service over the Internet. It consists of interconnected, virtualized computers that are provisioned and presented as unified resources. Services include infrastructure, platform and software and are accessed from any device via the Internet in a pay-as-you-go manner. Key enabling technologies include virtualization, web services, service-oriented architecture, and mashups. Features include on-demand scaling, location independence via any device, quality of service guarantees, and no upfront capital costs as users pay for what they use. Major providers offer platforms for deployment of applications and services.
The document discusses various aspects of cloud computing including:
- Cloud computing provides on-demand access to computing resources that can scale up or down depending on needs.
- It evolved from concepts like virtualization, utility computing, and service-oriented architecture.
- The basic components of cloud computing include clients, services, applications, platforms, storage, and infrastructure.
- Common cloud computing models are Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS).
This document provides an overview of distributed computing paradigms such as cloud computing, jungle computing, and fog computing. It defines distributed computing as utilizing multiple autonomous computers located across different areas to solve large problems. Cloud computing is described as internet-based computing using shared online resources and data storage. Jungle computing combines distributed systems for high performance, while fog computing extends cloud computing to network edges for low latency applications. The document discusses characteristics, architectures, advantages and disadvantages of these paradigms.
An Overview on Security Issues in Cloud ComputingIOSR Journals
This document discusses security issues in cloud computing. It begins by defining cloud computing and its service models, including software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). It then discusses that security is the top challenge for cloud computing according to a survey of IT executives. Specifically, there are concerns about maintaining security, compliance, and control over critical applications and sensitive data when using public cloud environments. The document goes on to provide more details on cloud computing definitions, characteristics, architectures, and the specific security issues involved in cloud computing.
Cloud computing is a model that enables network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort. It involves delivering hosted services like servers, storage, databases, networking, analytics and software over the internet. Key characteristics include on-demand self-service, broad network access, resource pooling, rapid elasticity, and being measured as a utility.
This document provides an overview of cloud computing, including what it is, examples of cloud computing applications and services, how it works, characteristics, types of cloud computing (public, private, hybrid, community cloud), advantages like cost efficiency and unlimited storage, and disadvantages like security, privacy, and loss of control. The document contains 13 sections that cover topics such as what is cloud computing, uses of cloud computing, working of cloud computing, types of cloud computing, advantages and disadvantages.
This document discusses cloud computing and provides definitions and characteristics. It describes the different deployment and service models of cloud computing including private cloud, public cloud, community cloud, hybrid cloud, software as a service, platform as a service, and infrastructure as a service. It also discusses virtualization and its role in cloud computing, the relationship between cloud computing and the internet of things, and some security issues related to cloud placing control in the hands of vendors.
This course provides an introduction to cloud computing. It will cover fundamental cloud technologies, service providers, data center design, and how cloud services are developed and deployed. The course has no textbook and consists of overview lectures along with student presentations on selected topics. Students are required to attend all sessions, give one presentation, and complete homework assignments but there is no exam. The course is divided into sessions covering technologies like distributed systems, data center networking, virtualization, storage, and security. Students will present on topics within each session.
This document provides an overview of convolutional neural networks (CNNs). It explains that CNNs are a type of neural network that has been successfully applied to analyzing visual imagery. The document then discusses the motivation and biology behind CNNs, describes common CNN architectures, and explains the key operations of convolution, nonlinearity, pooling, and fully connected layers. It provides examples of CNN applications in computer vision tasks like image classification, object detection, and speech recognition. Finally, it notes several large tech companies that utilize CNNs for features like automatic tagging, photo search, and personalized recommendations.
NITW_Improving Deep Neural Networks.pptxssuserd23711
This document provides an overview of techniques for training deep neural networks. It discusses neural network parameters and hyperparameters, regularization strategies like L1 and L2 norm penalties, dropout, batch normalization, and optimization methods like mini-batch gradient descent. The key aspects covered are distinguishing parameters from hyperparameters, techniques for reducing overfitting like regularization and early stopping, and batch normalization for reducing internal covariate shift during training.
This document summarizes a graph-based truth maintenance system proposed by the author. The system is based on an augmented causal network (ACN) that can represent structural and probabilistic knowledge. The ACN is used to represent a set of Horn clauses from propositional logic. Algorithms are described for converting the Horn clauses into an ACN and for computing explanations in the ACN-based assumption-based truth maintenance system (ATMS) similarly to the standard ATMS. The author proves that the explanations computed by the ACN-based ATMS satisfy the requirements for ATMS environments.
The document discusses leveraging the cloud to architect digital solutions. It covers state-of-the-art IoT technology, machine learning clustering and classification prototypes, Cortana analytics, and patterns and anti-patterns for building solutions. The document demonstrates table storage and machine learning clustering of data. It presents an Azure IoT reference architecture and discusses visualizing machine learning results and deriving business value from big data.
This document discusses the key aspects of cloud computing. It begins by outlining the massive scale of today's clouds, with companies like Facebook, Microsoft, and Amazon operating clouds with tens or hundreds of thousands of servers. It then discusses the main characteristics of cloud computing, including on-demand access in a pay-as-you-go model, the data-intensive nature of workloads involving terabytes or petabytes of data, and new programming paradigms like MapReduce. The document also covers the differences between public, private, and academic clouds, and factors to consider in choosing between outsourcing to a public cloud or running your own private cloud.
PDF SubmissionDigital Marketing Institute in NoidaPoojaSaini954651
https://www.safalta.com/online-digital-marketing/advance-digital-marketing-training-in-noidaTop Digital Marketing Institute in Noida: Boost Your Career Fast
[3:29 am, 30/05/2024] +91 83818 43552: Safalta Digital Marketing Institute in Noida also provides advanced classes for individuals seeking to develop their expertise and skills in this field. These classes, led by industry experts with vast experience, focus on specific aspects of digital marketing such as advanced SEO strategies, sophisticated content creation techniques, and data-driven analytics.
Explore the essential graphic design tools and software that can elevate your creative projects. Discover industry favorites and innovative solutions for stunning design results.
ARENA - Young adults in the workplace (Knight Moves).pdfKnight Moves
Presentations of Bavo Raeymaekers (Project lead youth unemployment at the City of Antwerp), Suzan Martens (Service designer at Knight Moves) and Adriaan De Keersmaeker (Community manager at Talk to C)
during the 'Arena • Young adults in the workplace' conference hosted by Knight Moves.
International Upcycling Research Network advisory board meeting 4Kyungeun Sung
Slides used for the International Upcycling Research Network advisory board 4 (last one). The project is based at De Montfort University in Leicester, UK, and funded by the Arts and Humanities Research Council.
Revolutionizing the Digital Landscape: Web Development Companies in Indiaamrsoftec1
Discover unparalleled creativity and technical prowess with India's leading web development companies. From custom solutions to e-commerce platforms, harness the expertise of skilled developers at competitive prices. Transform your digital presence, enhance the user experience, and propel your business to new heights with innovative solutions tailored to your needs, all from the heart of India's tech industry.
EASY TUTORIAL OF HOW TO USE CAPCUT BY: FEBLESS HERNANEFebless Hernane
CapCut is an easy-to-use video editing app perfect for beginners. To start, download and open CapCut on your phone. Tap "New Project" and select the videos or photos you want to edit. You can trim clips by dragging the edges, add text by tapping "Text," and include music by selecting "Audio." Enhance your video with filters and effects from the "Effects" menu. When you're happy with your video, tap the export button to save and share it. CapCut makes video editing simple and fun for everyone!
Maximize Your Content with Beautiful Assets : Content & Asset for Landing Page pmgdscunsri
Figma is a cloud-based design tool widely used by designers for prototyping, UI/UX design, and real-time collaboration. With features such as precision pen tools, grid system, and reusable components, Figma makes it easy for teams to work together on design projects. Its flexibility and accessibility make Figma a top choice in the digital age.
Connect Conference 2022: Passive House - Economic and Environmental Solution...TE Studio
Passive House: The Economic and Environmental Solution for Sustainable Real Estate. Lecture by Tim Eian of TE Studio Passive House Design in November 2022 in Minneapolis.
- The Built Environment
- Let's imagine the perfect building
- The Passive House standard
- Why Passive House targets
- Clean Energy Plans?!
- How does Passive House compare and fit in?
- The business case for Passive House real estate
- Tools to quantify the value of Passive House
- What can I do?
- Resources
Storytelling For The Web: Integrate Storytelling in your Design ProcessChiara Aliotta
In this slides I explain how I have used storytelling techniques to elevate websites and brands and create memorable user experiences. You can discover practical tips as I showcase the elements of good storytelling and its applied to some examples of diverse brands/projects..
Visual Style and Aesthetics: Basics of Visual Design
Visual Design for Enterprise Applications
Range of Visual Styles.
Mobile Interfaces:
Challenges and Opportunities of Mobile Design
Approach to Mobile Design
Patterns
Decormart Studio is widely recognized as one of the best interior designers in Bangalore, known for their exceptional design expertise and ability to create stunning, functional spaces. With a strong focus on client preferences and timely project delivery, Decormart Studio has built a solid reputation for their innovative and personalized approach to interior design.
2. My Background and Contact Details
Dr Evangelia Kalyvianaki
Senior Lecturer @CL since Oct. 2018
PhD from the CL, Cambridge University (srg, netos group)
Postdoc from Imperial College London
Lecturer/Senior Lecturer in City University London
I like building systems, working in Cloud computing,
distributed systems management and autonomic computing
Office in FN15
ek264@cam.ac.uk
http://www.cst.cam.ac.uk/~ek264/
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3. Course Logistics
Resources:
Web page: http://www.cl.cam.ac.uk/teaching/1920/CloudComp/
Book:
“Cloud Computing, Theory and Practice” Dan C. Marinescu,
Morgan Kaufmann
Research papers (will be given per lecture)
One coursework project in groups of three students each.
The project will be assessed via a project report and code
testing.
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4. Course Contents
1. Introduction to Cloud Computing
2. Virtualization I
3. Virtualization II
4. MapReduce Batch Processing
5. MapReduce in Heterogeneous Environments
6. Large-Scale Resource Management
7. Data Center Networking
8. Cloud Distributed Storage
9. Real-Time Data Stream Processing
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5. 5
Topic Main Lecturer Date
1. Introduction E. Kalyvianaki 17/01
2. Virtualization I A. Madhavapeddy 20/01
3. Virtualization II A. Madhavapeddy 22/01
4. MapReduce I E. Kalyvianaki 24/01
5. Tutorial I A. Grammenos 27/01
6. Tutorial II A. Grammenos 29/01
7. MapReduce II E. Kalyvianaki 31/01
8. Large-Scale Resource Management E. Kalyvianaki 03/02
9. Tutorial III A. Grammenos 05/02
10. Data Center Networking Dr. Paolo Costa, MSRC 07/02
11. Cloud Distributed Storage E. Kalyvianaki 10/02
12. Optimizing Storage Performance
using S3
Dr. Tim Harris, Amazon 12/02
13. Real-time Data Stream Processing E. Kalyvianaki 14/02
Timetable, all lectures @LT1
6. Lecture Contents
What is Cloud Computing?
Early models of Cloud Computing.
Delivery models and services.
Ethical issues in Cloud Computing.
Cloud vulnerabilities.
Parallel Computing.
Distributed Systems.
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7. What is Cloud Computing?
What do you think?
“Cloud computing is an information technology (IT) paradigm that
enables ubiquitous access to shared pools of configurable system
resources and higher-level services that can be rapidly provisioned with
minimal management effort, often over the Internet. Cloud computing
relies on sharing of resources to achieve coherence and economies of
scale, similar to a public utility.” https://en.wikipedia.org/wiki/Cloud_computing
“Simply put, cloud computing is the delivery of computing services –
servers, storage, databases, networking, software, analytics and more –
over the Internet (“the cloud”). Companies offering these computing
services are called cloud providers and typically charge for cloud
computing services based on usage, similar to how you’re billed for gas
or electricity at home.” https://azure.microsoft.com/en-gb/overview/what-is-cloud-computing/
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8. Delivery models
Infrastructure as a Service (IaaS)
Software as a Service (SaaS)
Platform as a Service (PaaS)
Deployment models
Private cloud
Hybrid cloud
Public cloud
Community cloud
Defining attributes
Massive infrastructure
Accessible via the Internet
Utility computing. Pay-per-usage
Elasticity
Cloud computing
Resources
Networks
Compute & storage servers
Services
Applications
Infrastructure
Distributed infrastructure
Resource virtualization
Autonomous systems
Cloud Computing Models, Resources, Attributes
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9. Early Models of Cloud Computing
Basic reasoning: information and data processing can be
done more efficiently on large farms of computing and
storage systems accessible via the Internet.
Two early models:
1. Grid computing – initiated by the National Labs in the
early 1990s; targeted primarily at scientific computing.
“Grid computing is the collection of computer resources from
multiple locations to reach a common goal. The grid can be thought
of as a distributed system with non-interactive workloads that
involve a large number of files.” from Wikipedia
2. Utility computing – initiated in 2005-2006 by IT
companies and targeted at enterprise computing.
“Utility computing is a service provisioning model in which a service
provider makes computing resources and infrastructure
management available to the customer as needed, and charges
them for specific usage rather than a flat rate.” from Wikipedia
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10. Cloud computing - Characteristics
“Cloud Computing offers on-demand, scalable and elastic
computing (and storage services). The resources used for these
services can be metered and users are charged only for the
resources used. “ from the Book
Shared Resources and Resource Management:
1.Cloud uses a shared pool of resources
2.Uses Internet techn. to offer scalable and elastic services.
3.The term “elastic computing” refers to the ability of
dynamically and on-demand acquiring computing resources and
supporting a variable workload.
4.Resources are metered and users are charged accordingly.
5.It is more cost-effective due to resource-multiplexing. Lower
costs for the cloud service provider are past to the cloud users. 10
11. Cloud computing (cont’d)
Data Storage:
6.Data is stored:
in the “cloud”, in certain cases closer to the site where it is used.
appears to the users as if stored in a location-independent manner.
7.The data storage strategy can increase reliability, as well as
security, and can lower communication costs.
Management:
8.The maintenance and security are operated by service
providers.
9.The service providers can operate more efficiently due to
specialisation and centralisation.
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12. Cloud Computing Advantages
1. Resources, such as CPU cycles, storage, network
bandwidth, are shared.
2. When multiple applications share a system, their peak
demands for resources are not synchronised thus,
multiplexing leads to a higher resource utilization.
3. Resources can be aggregated to support data-intensive
applications.
4. Data sharing facilitates collaborative activities. Many
applications require multiple types of analysis of shared
data sets and multiple decisions carried out by groups
scattered around the globe. 12
13. Cloud Computing Advantages
5. Eliminates the initial investment costs for a private
computing infrastructure and the maintenance and
operation costs.
6. Cost reduction: concentration of resources creates the
opportunity to pay as you go for computing.
7. Elasticity: the ability to accommodate workloads with
very large peak-to-average ratios.
8. User convenience: virtualization allows users to operate
in familiar environments rather than in idiosyncratic ones.
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14. Types of clouds
1. Public Cloud - the infrastructure is made available to the
general public or a large industry group and is owned by
the organization selling cloud services.
2. Private Cloud – the infrastructure is operated solely for
an organization.
1. Hybrid Cloud - composition of two or more Clouds
(public, private, or community) as unique entities but
bound by a standardised technology that enables data and
application portability.
2. Other types: e.g., Community/Federated Cloud - the
infrastructure is shared by several organizations and
supports a community that has shared concerns.
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15. Why cloud computing is (could) be successful
when other paradigms have failed?
It is in a better position to exploit recent advances in
software, networking, storage, and processor technologies
promoted by the same companies who provide Cloud
services.
Economical reasons: It is used for enterprise computing; its
adoption by industrial organizations, financial institutions,
government, and so on has a huge impact on the economy.
Infrastructures Management reasons:
A single Cloud consists of a mostly homogeneous (now more
heterogeneous) set of hardware and software resources.
The resources are in a single administrative domain (AD). Security,
resource management, fault-tolerance, and quality of service are
less challenging than in a heterogeneous environment with
resources in multiple ADs.
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16. Challenges for cloud computing
1. Availability of service: what happens when the service
provider cannot deliver?
2. Data confidentiality and auditability, a serious problem.
3. Diversity of services, data organization, user interfaces
available at different service providers limit user mobility;
once a customer is hooked to one provider it is hard to
move to another.
4. Data transfer bottleneck; many applications are data-
intensive.
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17. More challenges
5. Performance unpredictability, one of the consequences of
resource sharing.
How to use resource virtualization and performance isolation for
QoS guarantees?
How to support elasticity, the ability to scale up and down quickly?
6. Resource management: It is a big challenge to manage
different workloads running on large data centers. Are self-
organization and self-management the solution?
7. Security and confidentiality: major concern for sensitive
applications, e.g., healthcare applications.
Addressing these challenges is on-going work! 17
18. Cloud Delivery Models
1. Software as a Service (SaaS) (high level)
2. Platform as a Service (PaaS)
3. Infrastructure as a Service (IaaS) (low level)
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source Wikipedia
19. Infrastructure-as-a-Service (IaaS)
Infrastructure is compute resources, CPU, VMs, storage, etc
The user is able to deploy and run arbitrary software, which
can include operating systems and applications.
The user does not manage or control the underlying Cloud
infrastructure but has control over operating systems,
storage, deployed applications, and possibly limited control
of some networking components, e.g., host firewalls.
Services offered by this delivery model include: server
hosting, storage, computing hardware, operating systems,
virtual instances, load balancing, Internet access, and
bandwidth provisioning.
Example: Amazon EC2
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20. Platform-as-a-Service (PaaS)
Allows a cloud user to deploy consumer-created or acquired
applications using programming languages and tools
supported by the service provider.
The user:
Has control over the deployed applications and, possibly, application
hosting environment configurations.
Does not manage or control the underlying Cloud infrastructure
including network, servers, operating systems, or storage.
Not particularly useful when:
The application must be portable.
Proprietary programming languages are used.
The hardware and software must be customised to improve the
performance of the application.
Examples: Google App Engine, Windows Azure
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21. Software-as-a-Service (SaaS)
Applications are supplied by the service provider.
The user does not manage or control the underlying Cloud
infrastructure or individual application capabilities.
Services offered include:
Enterprise services such as: workflow management,
communications, digital signature, customer relationship
management (CRM), desktop software, financial management, geo-
spatial, and search.
Not suitable for real-time applications or for those where
data is not allowed to be hosted externally.
Examples: Gmail, Salesforce
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23. Cloud activities
Service management and provisioning including:
Virtualization.
Service provisioning.
Call center.
Operations management.
Systems management.
QoS management.
Billing and accounting, asset management.
SLA management.
Technical support and backups.
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24. Cloud activities (cont’d)
Security management including:
ID and authentication.
Certification and accreditation.
Intrusion prevention.
Intrusion detection.
Virus protection.
Cryptography.
Physical security, incident response.
Access control, audit and trails, and firewalls.
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25. Cloud activities (cont’d)
Customer services such as:
Customer assistance and on-line help.
Subscriptions.
Business intelligence.
Reporting.
Customer preferences.
Personalization.
Integration services including:
Data management.
Development.
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26. Ethical issues
Paradigm shift with implications on computing ethics:
The control is relinquished to third party services.
Data is stored on multiple sites administered by several
organizations.
Multiple services interoperate across the network.
Implications:
Unauthorised access.
Data corruption.
Infrastructure failure, and service unavailability.
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27. De-perimeterisation
Systems can span the boundaries of multiple organisations
and cross the security borders.
The complex structure of Cloud services can make it
difficult to determine who is responsible in case something
undesirable happens.
Identity fraud and theft are made possible by the
unauthorised access to personal data in circulation and by
new forms of dissemination through social networks and
they could also pose a danger to Cloud Computing.
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28. Privacy issues
Cloud service providers have already collected petabytes of
sensitive personal information stored in data centers around
the world. The acceptance of Cloud Computing therefore
will be determined by privacy issues addressed by these
companies and the countries where the data centers are
located.
Privacy is affected by cultural differences; some cultures
favour privacy, others emphasise community. This leads to
an ambivalent attitude towards privacy in the Internet
which is a global system.
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29. Cloud Vulnerabilities
Clouds are affected by malicious attacks and failures of the
infrastructure, e.g., power failures.
Such events can affect the Internet domain name servers
and prevent access to a Cloud or can directly affect the
Clouds:
in 2004 an attack at Akamai caused a domain name outage and
a major blackout that affected Google, Yahoo, and other sites.
in 2009, Google was the target of a denial of service attack
which took down Google News and Gmail for several days;
in 2012 lightning caused a prolonged down time at Amazon.
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30. Back to Basics -- Parallel Computing
“Parallel computing is a form of computation in which many
calculations are carried out simultaneously, operating on the
principles that large problems can often be divided into smaller
ones, which are then solved concurrently (in parallel).” Wikipedia
Hardware and software systems allow us to:
Solve problems demanding resources not available on a
single system.
Reduce the time required to obtain a solution.
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31. Parallel Computing – Amdahl’s Law
The speedup S measures the effectiveness of parallelisation:
S(N) = T(1) / T(N)
T(1) the execution time of the sequential computation.
T(N) the execution time when N parallel computations are executed
Amdahl's Law: if α is the fraction of running time a
sequential program spends on non-parallelisable segments of
the computation then:
S ≅ 1/ α
This is a theoretical upper bound on the best speedup we can
get from parallelising a certain program.
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32. Back to Basics -- Distributed systems
Collection of autonomous computers, connected through a
network and distribution software (often) called middleware
which enables computers to coordinate their activities and to
share system resources for a common goal.
Characteristics:
1. The users perceive the system as a single, integrated computing
facility.
2. The components are autonomous.
3. Scheduling and other resource management and security policies are
implemented by each system.
4. There are multiple points of control and multiple points of failure.
5. The resources may not be accessible at all times.
6. Can be scaled by adding additional resources.
7. Can be designed to maintain availability even at low levels of
hardware/software/network reliability. 32
33. Summary
What is Cloud Computing?
Early models of Cloud Computing.
Delivery models and services.
Ethical issues in Cloud Computing.
Cloud vulnerabilities.
Parallel Computing and Distributed Systems (brief)
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Editor's Notes
Tools not only
Confusing
Difference between papers and books
Maybe show some examples online
Difference between scalability and elasticity
Up to here talked a lot …
Certification and Accreditation (C&A or CnA) is a process for implementing any formal process. It is a systematic procedure for evaluating, describing, testing and authorizing systems or activities prior to or after a system is in operation. The C&A process is used extensively across the world.
Certification is a comprehensive evaluation of a process, system, product, event, or skill typically measured against some existing norm or standard.
Accreditation is the formal declaration by a neutral third party that the certification program is administered in a way that meets the relevant norms or standards of certification program (such as ISO/IEC 17024).
In information security, de-perimeterisation[1] is the removal of a boundary between an organisation and the outside world. De-perimeterisation is protecting an organization's systems and data on multiple levels by using a mixture of encryption, secure computer protocols, secure computer systems and data-level authentication, rather than the reliance of an organization on its network boundary to the Internet. Successful implementation of a de-perimeterised strategy within an organization implies that the perimeter, or outer security boundary, was removed.