This document discusses implementing cloud computing capabilities in JCISA to improve information sharing and collaboration. It provides an overview of cloud computing concepts including definitions, service models, and deployment models. It then evaluates three courses of action for JCISA: doing nothing and letting "big Army" direct implementation; optimizing legacy systems to facilitate a future private or hybrid cloud; or immediately implementing a cloud regardless of Army efforts. The document analyzes requirements, service level agreements, comparisons of the courses of action, and ultimately recommends optimizing legacy systems to support future migration to a private or hybrid cloud.
This document defines cloud computing and its key characteristics. Cloud computing provides on-demand access to shared configurable computing resources over a network. It has five essential characteristics: on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. There are three main service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). There are also four deployment models - private cloud, public cloud, community cloud, and hybrid cloud. Cloud computing has the potential to greatly impact the world by providing benefits to users and businesses.
This is a literature survey about security issues and countermeasures on cloud computing. This paper discusses about an overview of cloud computing and security issues of cloud computing.
Cloud computing allows on-demand access to shared computing resources like servers, storage, databases, networking, software, analytics and more. It has 5 essential characteristics: on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. The three main service models are Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Cloud deployment models include private, public, hybrid and community clouds.
This document provides an overview of cloud computing, including its definition, architecture, deployment models, and why it is used. It defines cloud computing as using the internet to access software and hardware resources owned by cloud providers. The architecture consists of front-end clients, a network, and back-end servers and storage. It describes infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) deployment models, as well as public, private, hybrid and community clouds. In conclusion, the document states that cloud computing provides ubiquitous access to data and applications from any device, is agile in nature, offers security benefits, reduces costs by minimizing infrastructure needs, and
This document discusses security challenges and solutions related to cloud computing. It begins by outlining common business and IT challenges, then defines cloud computing and reviews security concerns such as data privacy, reliability, and loss of control. The document proposes that identity and access management, data security, and regulatory compliance are top security risks for cloud computing. It presents IBM solutions for privileged user access control, identity federation, and application isolation that aim to address these risks.
The document defines cloud computing as a model for enabling on-demand access to a shared pool of configurable computing resources that can be rapidly provisioned with minimal management effort. It identifies essential characteristics of cloud computing including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. It also outlines common cloud service models and deployment models.
Cloud computing involves applications and files being hosted on remote servers and data centers that are accessible via the internet. It allows users to access services like word processing, calendars, and presentations from any device with an internet connection. Common cloud services include Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). SaaS provides hosted applications that users subscribe to, while PaaS and IaaS provide resources for building and hosting custom applications. Major benefits of cloud computing include reduced costs, scalability, universal access, and easier collaboration. Security, reliability, and standardization remain risks associated with cloud services.
This document discusses implementing cloud computing capabilities in JCISA to improve information sharing and collaboration. It provides an overview of cloud computing concepts including definitions, service models, and deployment models. It then evaluates three courses of action for JCISA: doing nothing and letting "big Army" direct implementation; optimizing legacy systems to facilitate a future private or hybrid cloud; or immediately implementing a cloud regardless of Army efforts. The document analyzes requirements, service level agreements, comparisons of the courses of action, and ultimately recommends optimizing legacy systems to support future migration to a private or hybrid cloud.
This document defines cloud computing and its key characteristics. Cloud computing provides on-demand access to shared configurable computing resources over a network. It has five essential characteristics: on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. There are three main service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). There are also four deployment models - private cloud, public cloud, community cloud, and hybrid cloud. Cloud computing has the potential to greatly impact the world by providing benefits to users and businesses.
This is a literature survey about security issues and countermeasures on cloud computing. This paper discusses about an overview of cloud computing and security issues of cloud computing.
Cloud computing allows on-demand access to shared computing resources like servers, storage, databases, networking, software, analytics and more. It has 5 essential characteristics: on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. The three main service models are Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Cloud deployment models include private, public, hybrid and community clouds.
This document provides an overview of cloud computing, including its definition, architecture, deployment models, and why it is used. It defines cloud computing as using the internet to access software and hardware resources owned by cloud providers. The architecture consists of front-end clients, a network, and back-end servers and storage. It describes infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) deployment models, as well as public, private, hybrid and community clouds. In conclusion, the document states that cloud computing provides ubiquitous access to data and applications from any device, is agile in nature, offers security benefits, reduces costs by minimizing infrastructure needs, and
This document discusses security challenges and solutions related to cloud computing. It begins by outlining common business and IT challenges, then defines cloud computing and reviews security concerns such as data privacy, reliability, and loss of control. The document proposes that identity and access management, data security, and regulatory compliance are top security risks for cloud computing. It presents IBM solutions for privileged user access control, identity federation, and application isolation that aim to address these risks.
The document defines cloud computing as a model for enabling on-demand access to a shared pool of configurable computing resources that can be rapidly provisioned with minimal management effort. It identifies essential characteristics of cloud computing including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. It also outlines common cloud service models and deployment models.
Cloud computing involves applications and files being hosted on remote servers and data centers that are accessible via the internet. It allows users to access services like word processing, calendars, and presentations from any device with an internet connection. Common cloud services include Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). SaaS provides hosted applications that users subscribe to, while PaaS and IaaS provide resources for building and hosting custom applications. Major benefits of cloud computing include reduced costs, scalability, universal access, and easier collaboration. Security, reliability, and standardization remain risks associated with cloud services.
Cloud computing has several key characteristics that provide benefits to both consumers and providers of cloud services. These characteristics include on-demand access to resources, no upfront commitments, simplified scalability, efficient allocation of resources, and energy efficiency. The essential characteristics of cloud computing that define its nature include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured services.
Cloud computing provides on-demand access to shared configurable computing resources like servers, storage, databases, networking, software, analytics and more via the internet with minimal management effort. It has 5 essential characteristics, 3 service models (SaaS, PaaS, IaaS), and 4 deployment models (private, public, hybrid, community). Security is a major concern in cloud computing due to issues like data ownership, multi-tenancy, loss of physical control and proprietary implementations. A typical use case of provisioning a virtual machine involves a user request, provisioning by cloud management, and access to the ready VM.
This document provides an overview of cloud computing concepts including objectives, course outcomes, and syllabus details. The objectives are to understand cloud computing concepts, evolution, issues, key players, and its emergence as the next generation computing paradigm. The course outcomes include being able to articulate cloud concepts, technologies, architectures, issues like resource management and security, and evaluate appropriate technologies. The syllabus covers topics like introduction, enabling technologies, architecture, services, storage, resource management, security, technologies and advancements.
1. The document discusses the fundamentals of cloud computing including definitions, models, services, and characteristics. It defines cloud computing as accessing applications over the internet as utilities.
2. There are four deployment models - public, private, hybrid, and community clouds - as well as three service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
3. Cloud computing provides advantages like scalability, reliability, low costs, and mobility. However, security, lock-in, and data integrity are potential risks.
This document summarizes a seminar on key challenges in cloud computing. It introduces cloud computing and the three main types of cloud services: SaaS, PaaS, and IaaS. It discusses how cloud computing can enable future internet of services by providing on-demand access to applications, platforms, and computing infrastructure. Several issues that must be addressed to realize this vision are discussed, including deploying cloud infrastructure, managing large clouds, developing aggregation architectures, and improving security, reliability and energy efficiency. Key challenges for enabling future internet of services through cloud computing are identified as supporting application elasticity, assuring quality of service, improving scalability, reliability, privacy, security and energy management of cloud infrastructure, and enhancing cloud
Cloud computing is an on-demand service model that provides scalable and flexible IT resources over the Internet. Key attributes of cloud computing include pooled computing resources through virtualization, elastic scaling, flexible pricing where users pay only for resources used, and resources provided as a service. Cloud services are broadly divided into Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides basic storage and computing resources, PaaS provides software development tools and runtimes, and SaaS provides complete applications to end users over the Internet.
On-demand computing refers to a delivery model where computing resources are made available to users as needed. These resources can be maintained within a user's enterprise or provided by a cloud service provider, in which case it is referred to as cloud computing. Effective use of cloud computing requires properly provisioning resources to avoid over-provisioning, which wastes money, and under-provisioning, which hurts performance. Efficient resource provisioning in the cloud is challenging due to the variety of VM types, pricing models, demand and cost uncertainties, and the need to balance multiple objectives like cost and quality of service.
Cloud computing means using multiple server computers via a digital network, as though they were one computer.
We can say , it is a new computing paradigm, involving data and/or computation outsourcing.
it has many issues like security issues, privacy issues, data issues, energy issues, bandwidth issues, cloud interoperability.
there are solutions like scaling of resources, distribute servers etc.
The document discusses the cloud ecosystem, including concepts of cloud computing, technologies like virtualization and service-oriented architecture, security considerations, challenges around data protection and management capabilities, and benefits such as reduced costs and increased flexibility. Cloud computing provides on-demand access to shared computing resources over a network in various service models like SaaS, PaaS and IaaS. While cloud offers benefits, challenges remain around data security, availability and regulatory compliance.
This document provides an overview of cloud computing, including definitions, architecture, deployment models, and service models. It defines cloud computing as manipulating, configuring, and accessing applications online, utilizing a combination of software and hardware computing resources delivered as a network service. The document outlines public, private, hybrid, and community deployment models and Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) service models. It also briefly discusses advantages and disadvantages of cloud computing.
Cloud computing provides access to applications over the Internet as utilities. It allows users to create, configure, and customize applications online without installing them. The cloud refers to the Internet or network and provides services like email, web conferencing, and CRM through public or private networks. Cloud computing offers online data storage, infrastructure, and applications without platform dependency by accessing everything through a web browser.
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services available over the internet. It has its origins in the 1960s and the term "cloud" was used to depict the demarcation point between the service provider's responsibility and the user's responsibility. There are various cloud service models like SaaS, PaaS and IaaS. Major players investing heavily in cloud computing include Amazon, Microsoft, Google, IBM, Apple etc. Cloud computing has huge potential in India given its large population and rapid urbanization. However, concerns around security and reliability need to be addressed for it to be widely adopted.
Cloud computing means storing and accessing data and programs over the Internet instead of your computer's hard drive.In computer networking, cloud computing is a phrase used to describe a variety of computing concepts that involve a large number of computers connected through a real-time communication network such as the Internet.
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Cloud computing architecture and vulnerabiliesVinay Dwivedi
The document discusses key aspects of cloud computing including its evolution, architecture, characteristics, security issues, and requirements. Specifically, it outlines the need for cloud computing, defines cloud computing and service-oriented architecture, describes the technical and conceptual characteristics of clouds, and identifies important security considerations like identification, authorization, confidentiality and integrity.
This document provides an overview of cloud computing models and platforms. It defines cloud computing and describes its key characteristics, service models, and deployment models. The objectives of cloud computing are discussed, including elasticity, on-demand usage, and pay-per-use. Common cloud platforms like Amazon EC2, S3, and RDS are introduced along with how they provide infrastructure, platform, and software services. Virtual machine provisioning workflows on cloud platforms are outlined. The cloud ecosystem is depicted showing the relationship between cloud users, management, and virtual infrastructure layers.
This presentation will help you all a lot.
because this is not from a particular text book or a reference guide it is a collection of several web sites.
This document defines cloud computing and its key characteristics. Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services that can be quickly provisioned with minimal management effort. It has essential characteristics of on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. There are three service models - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Four deployment models of public, private, community and hybrid clouds are also defined.
An study of security issues & challenges in cloud computingijsrd.com
"Cloud Computing" is a term, which involves virtualization, distributed computing, networking and web-services. It is a way of offering services to users by allowing them to tap into a massive pool of shared computing resources such as servers, storage and network. User can use services by simply plug into the cloud and pay only for what he uses. All these features made a cloud computing very advantageous and demanding. But the data privacy is a key security problem in cloud computing which comprises of data integrity, data confidentiality and user privacy specific concerns. Most of the persons do not prefer cloud to store their data as they are having a fear of losing the privacy of their confidential data. This paper introduces some cloud computing data security problem and its strategy to solve them which also satisfies the user regarding their data security.
The document defines cloud computing as a model for enabling on-demand access to a shared pool of configurable computing resources that can be rapidly provisioned with minimal management effort. It identifies essential characteristics of cloud computing including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. It also outlines common cloud service models and deployment models.
Cloud computing is a model that provides on-demand access to a shared pool of configurable computing resources like networks, servers, storage, applications, and services. It has essential characteristics of on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. There are three main service models - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Deployment models include private cloud, community cloud, public cloud, and hybrid cloud.
Cloud computing has several key characteristics that provide benefits to both consumers and providers of cloud services. These characteristics include on-demand access to resources, no upfront commitments, simplified scalability, efficient allocation of resources, and energy efficiency. The essential characteristics of cloud computing that define its nature include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured services.
Cloud computing provides on-demand access to shared configurable computing resources like servers, storage, databases, networking, software, analytics and more via the internet with minimal management effort. It has 5 essential characteristics, 3 service models (SaaS, PaaS, IaaS), and 4 deployment models (private, public, hybrid, community). Security is a major concern in cloud computing due to issues like data ownership, multi-tenancy, loss of physical control and proprietary implementations. A typical use case of provisioning a virtual machine involves a user request, provisioning by cloud management, and access to the ready VM.
This document provides an overview of cloud computing concepts including objectives, course outcomes, and syllabus details. The objectives are to understand cloud computing concepts, evolution, issues, key players, and its emergence as the next generation computing paradigm. The course outcomes include being able to articulate cloud concepts, technologies, architectures, issues like resource management and security, and evaluate appropriate technologies. The syllabus covers topics like introduction, enabling technologies, architecture, services, storage, resource management, security, technologies and advancements.
1. The document discusses the fundamentals of cloud computing including definitions, models, services, and characteristics. It defines cloud computing as accessing applications over the internet as utilities.
2. There are four deployment models - public, private, hybrid, and community clouds - as well as three service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
3. Cloud computing provides advantages like scalability, reliability, low costs, and mobility. However, security, lock-in, and data integrity are potential risks.
This document summarizes a seminar on key challenges in cloud computing. It introduces cloud computing and the three main types of cloud services: SaaS, PaaS, and IaaS. It discusses how cloud computing can enable future internet of services by providing on-demand access to applications, platforms, and computing infrastructure. Several issues that must be addressed to realize this vision are discussed, including deploying cloud infrastructure, managing large clouds, developing aggregation architectures, and improving security, reliability and energy efficiency. Key challenges for enabling future internet of services through cloud computing are identified as supporting application elasticity, assuring quality of service, improving scalability, reliability, privacy, security and energy management of cloud infrastructure, and enhancing cloud
Cloud computing is an on-demand service model that provides scalable and flexible IT resources over the Internet. Key attributes of cloud computing include pooled computing resources through virtualization, elastic scaling, flexible pricing where users pay only for resources used, and resources provided as a service. Cloud services are broadly divided into Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides basic storage and computing resources, PaaS provides software development tools and runtimes, and SaaS provides complete applications to end users over the Internet.
On-demand computing refers to a delivery model where computing resources are made available to users as needed. These resources can be maintained within a user's enterprise or provided by a cloud service provider, in which case it is referred to as cloud computing. Effective use of cloud computing requires properly provisioning resources to avoid over-provisioning, which wastes money, and under-provisioning, which hurts performance. Efficient resource provisioning in the cloud is challenging due to the variety of VM types, pricing models, demand and cost uncertainties, and the need to balance multiple objectives like cost and quality of service.
Cloud computing means using multiple server computers via a digital network, as though they were one computer.
We can say , it is a new computing paradigm, involving data and/or computation outsourcing.
it has many issues like security issues, privacy issues, data issues, energy issues, bandwidth issues, cloud interoperability.
there are solutions like scaling of resources, distribute servers etc.
The document discusses the cloud ecosystem, including concepts of cloud computing, technologies like virtualization and service-oriented architecture, security considerations, challenges around data protection and management capabilities, and benefits such as reduced costs and increased flexibility. Cloud computing provides on-demand access to shared computing resources over a network in various service models like SaaS, PaaS and IaaS. While cloud offers benefits, challenges remain around data security, availability and regulatory compliance.
This document provides an overview of cloud computing, including definitions, architecture, deployment models, and service models. It defines cloud computing as manipulating, configuring, and accessing applications online, utilizing a combination of software and hardware computing resources delivered as a network service. The document outlines public, private, hybrid, and community deployment models and Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) service models. It also briefly discusses advantages and disadvantages of cloud computing.
Cloud computing provides access to applications over the Internet as utilities. It allows users to create, configure, and customize applications online without installing them. The cloud refers to the Internet or network and provides services like email, web conferencing, and CRM through public or private networks. Cloud computing offers online data storage, infrastructure, and applications without platform dependency by accessing everything through a web browser.
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services available over the internet. It has its origins in the 1960s and the term "cloud" was used to depict the demarcation point between the service provider's responsibility and the user's responsibility. There are various cloud service models like SaaS, PaaS and IaaS. Major players investing heavily in cloud computing include Amazon, Microsoft, Google, IBM, Apple etc. Cloud computing has huge potential in India given its large population and rapid urbanization. However, concerns around security and reliability need to be addressed for it to be widely adopted.
Cloud computing means storing and accessing data and programs over the Internet instead of your computer's hard drive.In computer networking, cloud computing is a phrase used to describe a variety of computing concepts that involve a large number of computers connected through a real-time communication network such as the Internet.
CA NOTES ON EMERGING TECHNOLOGIES
FREE AFFIDAVITS AND NOTICES FORMATS
FREE AGREEMENTS AND CONTRACTS FORMATS
FREE LLB LAW NOTES
FREE CA ICWA NOTES
FREE LLB LAW FIRST SEM NOTES
FREE LLB LAW SECOND SEM NOTES
FREE LLB LAW THIRD SEM NOTES
FREE LLB LAW FOURTH SEM NOTES
FREE LLB LAW FIFTH SEM NOTES
FREE LLB LAW SIXTH SEM NOTES
FREE CA ICWA FOUNDATION NOTES
FREE CA ICWA INTERMEDIATE NOTES
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KANOON KE RAKHWALE INDIA
HIRE LAWYER ONLINE
LAW FIRMS IN DELHI
CA FIRM DELHI
VISIT : https://www.kanoonkerakhwale.com/
VISIT : https://hirelawyeronline.com/
Cloud computing architecture and vulnerabiliesVinay Dwivedi
The document discusses key aspects of cloud computing including its evolution, architecture, characteristics, security issues, and requirements. Specifically, it outlines the need for cloud computing, defines cloud computing and service-oriented architecture, describes the technical and conceptual characteristics of clouds, and identifies important security considerations like identification, authorization, confidentiality and integrity.
This document provides an overview of cloud computing models and platforms. It defines cloud computing and describes its key characteristics, service models, and deployment models. The objectives of cloud computing are discussed, including elasticity, on-demand usage, and pay-per-use. Common cloud platforms like Amazon EC2, S3, and RDS are introduced along with how they provide infrastructure, platform, and software services. Virtual machine provisioning workflows on cloud platforms are outlined. The cloud ecosystem is depicted showing the relationship between cloud users, management, and virtual infrastructure layers.
This presentation will help you all a lot.
because this is not from a particular text book or a reference guide it is a collection of several web sites.
This document defines cloud computing and its key characteristics. Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services that can be quickly provisioned with minimal management effort. It has essential characteristics of on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. There are three service models - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Four deployment models of public, private, community and hybrid clouds are also defined.
An study of security issues & challenges in cloud computingijsrd.com
"Cloud Computing" is a term, which involves virtualization, distributed computing, networking and web-services. It is a way of offering services to users by allowing them to tap into a massive pool of shared computing resources such as servers, storage and network. User can use services by simply plug into the cloud and pay only for what he uses. All these features made a cloud computing very advantageous and demanding. But the data privacy is a key security problem in cloud computing which comprises of data integrity, data confidentiality and user privacy specific concerns. Most of the persons do not prefer cloud to store their data as they are having a fear of losing the privacy of their confidential data. This paper introduces some cloud computing data security problem and its strategy to solve them which also satisfies the user regarding their data security.
The document defines cloud computing as a model for enabling on-demand access to a shared pool of configurable computing resources that can be rapidly provisioned with minimal management effort. It identifies essential characteristics of cloud computing including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. It also outlines common cloud service models and deployment models.
Cloud computing is a model that provides on-demand access to a shared pool of configurable computing resources like networks, servers, storage, applications, and services. It has essential characteristics of on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. There are three main service models - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Deployment models include private cloud, community cloud, public cloud, and hybrid cloud.
The Nist definition of cloud computing cloud computing Research PaperFaimin Khan
This document discusses cloud computing and Google App Engine. It provides an overview of cloud computing concepts like service models, deployment models, and advantages/disadvantages. It then describes Google App Engine, including why Google built it, example apps, the application environment, and architecture. The architecture uses horizontal scaling across Google data centers to isolate and share resources for multiple applications. Quotas define fixed free limits and increased billable limits for resources like storage and bandwidth.
Cloud computing refers to on-demand access to shared computing resources via the internet. It provides scalable, elastic resources that can be rapidly provisioned with minimal management effort. There are various types of cloud models including private, public, hybrid and community clouds. Cloud services are delivered through software as a service (SaaS), platform as a service (PaaS) and infrastructure as a service (IaaS) models. Key characteristics of cloud computing include on-demand self-service, broad network access, resource pooling, rapid elasticity and measured service.
Cloud Computing genral for all concepts.pptxraghavanp4
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services via the internet. It has three service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). There are four deployment models - public, private, hybrid and community clouds. Key enabling technologies include virtualization, distributed resource management and reservation-based provisioning to meet service level agreements.
Cloud computing provides on-demand access to shared pools of configurable computing resources like networks, servers, storage, applications and services that can be provisioned quickly with minimal management effort. There are three main cloud service models: Infrastructure as a Service (IaaS) which provides basic storage and computing capabilities; Platform as a Service (PaaS) which provides a development environment; and Software as a Service (SaaS) which provides applications to users. Cloud computing offers advantages like flexibility, mobility, collaboration and cost efficiency but also poses security, privacy and control risks that need to be addressed.
The document defines cloud computing and its key characteristics, service models, and deployment models. It discusses the essential characteristics of cloud computing which include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. The three main service models are Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). The four deployment models are private cloud, public cloud, hybrid cloud, and community cloud.
Cloud deployment models: public, private, hybrid, community – Categories of cloud computing: Everything as a service: Infrastructure, platform, software - Pros and Cons of cloud computing – Implementation levels of virtualization – virtualization structure – virtualization of CPU, Memory and I/O devices – virtual clusters and Resource Management – Virtualization for data center automation.
Understanding the cloud computing stackSatish Chavan
Understanding the cloud computing stack
Introduction
Key characteristics
At Glance
Standardization, Migration &Adaptation
Service models
Deployment models
Network as a Service
Software as a Service (SaaS).
Platform as a Service (PaaS).
Infrastructure as a Service (IaaS).
Communications as a Service (CaaS)
Data as a Service - DaaS
Benefits & Challenges
Security Risks & Challenges
Cloud Vendors
Data Security Model Enhancement In Cloud EnvironmentIOSR Journals
This document discusses enhancing data security in cloud environments. It begins by providing background on cloud computing, including its key characteristics and architecture. The document then discusses existing security concerns with cloud computing, as sensitive user data is stored remotely by cloud providers. The main objective is to propose an enhanced data security model for clouds. The proposed model uses a three-layer architecture and efficient algorithms to ensure security at each layer and solve common cloud data security issues like authentication, data protection, and fast data recovery.
This document discusses the basics of cloud computing, including definitions, characteristics, deployment strategies, service models, opportunities, challenges, and issues. Specifically, it defines cloud computing as on-demand access to configurable computing resources via the internet. The key characteristics of cloud computing are on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. The document also outlines the public, private, and hybrid deployment strategies as well as software (SaaS), platform (PaaS), and infrastructure (IaaS) service models. Finally, it discusses opportunities for end users, businesses and developers, and examines challenges related to security, performance, availability, cost, and regulatory requirements.
SURVEY ON KEY AGGREGATE CRYPTOSYSTEM FOR SCALABLE DATA SHARINGEditor IJMTER
Public-key cryptosystems produce constant-size cipher texts with efficient delegation
of decryption rights for any set of cipher texts. One can aggregate any set of secret keys and make
them as compact as a single key. The secret key holder can release a constant-size aggregate key for
flexible choices of cipher text set in cloud storage. In KAC, users encrypt a message not only under a
public-key, but also under an identifier of cipher text called class. That means the cipher texts are
further categorized into different classes. The key owner holds a master-secret called master-secret
key, which can be used to extract secret keys for different classes. More importantly, the extracted
key have can be an aggregate key which is as compact as a secret key for a single class, but
aggregates the power of many such keys, i.e., the decryption power for any subset of cipher text
classes. The key aggregate cryptosystem is enhanced with boundary less cipher text classes. The
system is improved with device independent key distribution mechanism. The key distribution
process is enhanced with security features to protect key leakage. The key parameter transmission
process is integrated with the cipher text download process.
Cloud computing delivers computing services as utilities over the internet, similar to how electricity or water are provided. There are different types of cloud deployment models including public, private, hybrid, and community clouds. Additionally, there are three main service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides virtual computing resources, PaaS provides development platforms, and SaaS provides complete software solutions delivered over the internet. Cloud computing offers benefits like on-demand provisioning, elastic scaling, pay-per-use billing, workload resilience, and migration flexibility.
This document discusses cloud computing, including its architecture, security issues, and types of attacks. It begins by defining cloud computing and describing its key characteristics like on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. It then outlines the three main service models - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). The four deployment models of private cloud, community cloud, public cloud, and hybrid cloud are also defined. Finally, it notes that the document will focus on exploring the security issues that arise from the nature of cloud service delivery and the types of attacks seen in cloud environments.
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This document provides an overview of Oracle's cloud computing strategy. It discusses how Oracle aims to make cloud computing fully enterprise-grade by supporting both public and private clouds. It also describes Oracle's PaaS platform, which provides products to build public or private application platforms as a cloud service. Finally, it outlines how enterprises can evolve their current IT infrastructure to incorporate more cloud-like characteristics over time through grid computing, virtualization, self-service access, and internal chargeback for resources used.
Cloud computing is very useful then also its own set of cons discourage cloud users to choose them as a best option. The multitenant architecture of cloud exposed to several threats such as improper trust management at service provider site, Storage security, Shared technology vulnerabilities, data lost/leakage during transit, unauthorized access of data. This paper studied review work on cloud steganography.
This document provides an overview of cloud computing, including its key concepts, models, and advantages. The main points are:
- Cloud computing provides on-demand access to computing resources like servers, storage, databases, and applications via the internet. It allows users to avoid upfront infrastructure costs.
- The major cloud service models are Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). SaaS provides access to applications, PaaS provides development platforms, and IaaS provides basic computing resources.
- The key benefits of cloud computing include cost savings, flexibility, scalability, and accessibility of resources from anywhere via
What if you can curate serendipity? A challenge to fellow IT practitioners. Materials mostly from http://tech.co/tony-hsieh-theory-serendipity-2012-09 and http://www.boundlss.com/blog/casual-collisions-spontaneous-meetings-serendipity. Also: http://www.goodreads.com/work/quotes/25386981-social-physics-how-good-ideas-spread-the-lessons-from-a-new-science
Hacker To Founder - Filipino Technical Co-Founders at WorkPaul Pajo
The document discusses technical and non-technical co-founders in startups. It notes that technical co-founders focus on code commits while non-technical co-founders ask about overall progress. Interviews are included from technical and non-technical co-founders discussing their experiences. Key points discussed include the importance of balance between technical and business skills, focusing on execution over ideas, and how founders' relationships can impact startup culture.
Mobile App Trends 2013: Social Innovation, Emerging Market Issues & Social Enterprise Solutions by Paul Pajo, Developer Evangelist for SMART Communications Inc. and co-founder of SMARTDevNet (http://smart.com.ph/developer) presented at Geeks On A Beach (http://geeksonabeach.com) Breakout Sessions C, September 27 2013, Boracay Regency
The document discusses competitive programming competitions, which involve contestants writing computer programs to solve logical or mathematical problems. It provides information on some popular competitions such as the International Olympiad in Informatics (IOI) and Google Code Jam. It also profiles two champion competitive programmers, Petr Mitrichev and Gennady Korotkevich, and their accomplishments in multiple international competitions.
This document contains 3 multiple choice questions about Excel functions and features. Question 1 asks about using IF conditions to determine student grades using a single formula. Question 2 asks about the keyboard shortcut to name a cell range. Question 3 asks about additional actions that can be used with the advanced filter function beyond the standard filter function.
This document discusses using various Web 2.0 tools for interactive learning, including Twitter, Plurk, Etherpad, PbWorks, and Google Wave. Twitter allows microblogging in 140 characters and people use it to follow experts, celebrities, and each other. Plurk is similar to Twitter but displays updates in a timeline. Etherpad enables real-time collaborative document editing. PbWorks allows creating and sharing wikis. Google Wave aims to combine features of email, Twitter, wikis and other tools into a single collaborative platform. These Web 2.0 tools can enhance learning by encouraging student interaction and making educational content more accessible and engaging.
This document discusses using social networks to educate voters in the Philippines. It provides examples of social media sites and campaigns used for voter education, such as ABS-CBN’s "Ako ang Simula" on Friendster and Multiply. It recommends ways for people to engage with the "Bagong Botante" voter education campaign on Facebook, Twitter, Plurk, blogs and more. Specific recommendations include registering on these sites, adding hashtags like #bb2010 and #bagongbotante, and sharing links and information with offline friends.
Do the survey! http://bit.ly/prez2010
A multidimensional scaling (MDS) approach to Filipino Presidentiable Leadership Perception using a Presidentiable Leadership Similarity Survey (PLSS)
The document describes using principal factor analysis to analyze survey responses from IS graduates of De La Salle - College of Saint Benilde. It summarizes applying PFA to multiple parts of the survey to reduce the number of factors analyzed. For example, PFA was used to reduce factors on perceived student skills from 27 to 13, and factors on course relevance from 30 to 16. Overall PFA allowed reducing the total number of factors analyzed from 115 original items to 51 items, a reduction of over 40%.
The document summarizes the results of a principal factor analysis conducted on survey responses from the first batch of IS graduates from De La Salle - College of Saint Benilde. The survey examined students' perceptions of the skills they developed and objectives attained in the IS program. The analysis identified three key factors: 1) Organizational communication skills, 2) ICT external relations and diversity, and 3) Project management skills and financial analysis. Based on these results, the survey will be shortened to focus on 13 items measuring these three factors.
The document discusses tips for starting a successful startup business. It emphasizes the importance of picking good co-founders, launching the business quickly, letting the initial idea evolve based on user feedback, and understanding users to create something that people want. It also recommends offering good customer service, measuring what motivates users, keeping costs low to allow for iteration, becoming profitable enough to support founders, avoiding distractions, not getting demoralized by setbacks, and letting deals fall through without affecting morale.
ITETHIC Accomplisment Report 3 T 2008 2009Paul Pajo
Paul Pajo completed several projects for his ITETHIC Accomplishment Report, including copyrighting exercises, annotating books on ethics topics, and creating tools to assess metacognition and map ethics concepts. He also developed open source licenses, screen casts demonstrating privacy and attribution tools, and integrated questions on speakers covering topics like copyright, intellectual property and corporate social responsibility.
Will You Be The Next Social Entrepreneur Mar 27, 2009Paul Pajo
The document discusses the importance of social entrepreneurship in the Philippines. It notes that the country's education system focuses on preparing youth for salaried jobs rather than entrepreneurship, despite the country's need for entrepreneurs. It defines social entrepreneurs as those who create wealth for workers and communities while protecting the environment. The document also discusses overcoming learning disabilities and mental models that hold people back from recognizing new opportunities through social entrepreneurship.
Case Study on Creative Commons Licensing in the Philippines by Drip
presented by Mark Laccay and Paul Pajo at The Common Crossroads: A Regional Creative Commons Conference in Manila, Philippines; Feb 4-7 2009
The document provides an introduction to the Merb web framework, which is similar to Ruby on Rails but aims to be lighter, more extensible, and faster. It discusses Merb's ideology of keeping the core small and code simple. Key components like routing, views, and plugins are described. Performance tests show Merb using less memory than Rails but slower response times. The author concludes Merb may be worth considering for small projects or if performance needs outweigh Rails compatibility.
The document provides an introduction to the Merb web framework, which is similar to Ruby on Rails but aims to be lighter, more extensible, and faster. It discusses Merb's ideology of keeping the core small and code simple. Key components like routing, views, and plugins are described. Performance tests show Merb using less memory than Rails but slower response times. The author concludes Merb may be worth considering for small tools or limited memory apps, but issues remain with speed on JRuby.
This document outlines Paul Pajo's accomplishment report for the SYSANAL ITETHIC course in the first term of 2008-2009. It proposes adding more content to the pbwiki site such as more book reviews, use case diagrams, activity diagrams, and real-life case studies. It suggests focusing on learner-centered output by having students collect their work into a reader at the end of the term. It also reflects on using more web 2.0 tools and modeling software for the course in the future.
- Ruby on Rails is an open-source, full-stack framework for developing database-backed web applications using the Model-View-Controller pattern. It uses the Ruby programming language.
- Rails uses conventions over configurations, don't repeat yourself (DRY) principles, and an opinionated philosophy. It provides a directory structure, environment modes, and generators to quickly develop applications.
- The document provides an example of generating a bookmarks application with models, views, controllers, validations, associations, and AJAX functionality using Rails.
The document discusses Ruby on Rails, a web application framework. It provides an overview of Ruby and Rails, explaining that Ruby is an object-oriented programming language and Rails is a full-stack framework built on Ruby that follows the model-view-controller pattern. It also discusses how Rails emphasizes conventions over configuration and helps developers build applications quickly.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Cloud Computing Nist Paul Pajo
1. CLOUD COMPUTING (via NIST) By Paul Pajo For ITRENDS 1T 2009-2010 original at: http://www.elasticvapor.com/2009/05/us-federal-government-defines-cloud.html FAIR USE is INVOKED under EDUCATIONAL USE