This document discusses cloud computing and HP's CloudSystem offerings. It defines cloud computing according to NIST and describes the essential characteristics, service models, and deployment models. It then provides an overview of HP CloudSystem Matrix, which offers a converged infrastructure solution for building private clouds, including integrated servers, storage, networking, and software.
Основы построения облачной IT-инфраструктуры. Особенности и преимущества суще...ActiveCloud
This document discusses cloud computing infrastructure and solutions. It begins with definitions of cloud computing from NIST, including essential characteristics, service models, and deployment models. It then discusses HP's cloud offerings, including HP CloudSystem for building, managing, and consuming cloud services across private, managed, and public clouds. HP CloudSystem provides automated lifecycle management, integration with existing infrastructure, and support for multiple hypervisors and operating systems.
A cross referenced whitepaper on cloud computingShahzad
The document defines cloud computing and its basic elements including SaaS, PaaS, IaaS, and utility computing. It discusses essential cloud characteristics like on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. The document also covers cloud deployment models, platforms, applications, and criticism of cloud computing.
This document describes implementing Software as a Service (SaaS) in a cloud computing environment. It discusses different cloud delivery models including SaaS, PaaS, and IaaS. It also covers cloud deployment models like public, private, and hybrid clouds. The document then demonstrates creating a virtual machine running Ubuntu to enable a basic calculator application as an example SaaS implementation in a cloud. It shows how to access and use the application within the virtual machine while it runs simultaneously with the host operating system.
Impact of busines model elements on cloud computing adoptionAndreja Pucihar
This document discusses key aspects of cloud computing including definitions, characteristics, service and deployment models, current adoption trends, and future predictions. It provides an overview of cloud computing including the evolution of the market in response to needs for scalability, cost pressures, and managing complex technologies. The main cloud computing models of Software as a Service, Platform as a Service, and Infrastructure as a Service are described along with the benefits each provides different types of users. Private, public, hybrid and community cloud deployment models are also outlined. Current adoption trends are reviewed for consumers, providers and enterprises along with statistics on cloud adoption in Slovenia and market value predictions for 2015. Research challenges around cloud computing are noted to involve considerations for adoption related to business advantage,
From the server room to the board room, there is a lot of talk about “the cloud” — and for good reason. The cloud offers organizations — and their information technology (IT) staffs, in particular — a number of important benefits ranging from increased efficiencies to scalability. Taking advantage of these benefits requires understanding the various cloud models available and how they can best meet your organization’s specific needs.
Cloud computing involves delivering computing resources over a network, typically the Internet. It dates back to the 1950s but demand increased due to the need to make things easier and save on costs. By 2020, the cloud computing market is forecast to exceed $241 billion. There are three main deployment models - public cloud (external cloud), private cloud (internal cloud), and hybrid cloud (combination of both). The three main service models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). While cloud computing provides benefits like flexibility, cost savings, and scalability, there are also potential risks regarding security, ownership of data, and dependence on major providers.
This presentation attempts to first demystify what's Cloud, and why Cloud Computing is an absolute MUST to reduce Cost of Application Delivery. It then attempts to bring out the important role that DCIM will play in the Cloud Computing Infrastructure, as we head towards a world of Software Defined Data Centers.
The document provides recommendations for books on cloud computing concepts and technologies. It then discusses the history and drivers of the Fourth Industrial Revolution powered by cloud, social, mobile, IoT, and AI technologies. The document defines cloud computing and discusses characteristics such as on-demand access to computing resources, utility computing models, and service delivery of infrastructure, platforms, and applications. It also outlines some major cloud platform providers including Eucalyptus, Nimbus, OpenNebula, and the CloudSim simulation framework.
Основы построения облачной IT-инфраструктуры. Особенности и преимущества суще...ActiveCloud
This document discusses cloud computing infrastructure and solutions. It begins with definitions of cloud computing from NIST, including essential characteristics, service models, and deployment models. It then discusses HP's cloud offerings, including HP CloudSystem for building, managing, and consuming cloud services across private, managed, and public clouds. HP CloudSystem provides automated lifecycle management, integration with existing infrastructure, and support for multiple hypervisors and operating systems.
A cross referenced whitepaper on cloud computingShahzad
The document defines cloud computing and its basic elements including SaaS, PaaS, IaaS, and utility computing. It discusses essential cloud characteristics like on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. The document also covers cloud deployment models, platforms, applications, and criticism of cloud computing.
This document describes implementing Software as a Service (SaaS) in a cloud computing environment. It discusses different cloud delivery models including SaaS, PaaS, and IaaS. It also covers cloud deployment models like public, private, and hybrid clouds. The document then demonstrates creating a virtual machine running Ubuntu to enable a basic calculator application as an example SaaS implementation in a cloud. It shows how to access and use the application within the virtual machine while it runs simultaneously with the host operating system.
Impact of busines model elements on cloud computing adoptionAndreja Pucihar
This document discusses key aspects of cloud computing including definitions, characteristics, service and deployment models, current adoption trends, and future predictions. It provides an overview of cloud computing including the evolution of the market in response to needs for scalability, cost pressures, and managing complex technologies. The main cloud computing models of Software as a Service, Platform as a Service, and Infrastructure as a Service are described along with the benefits each provides different types of users. Private, public, hybrid and community cloud deployment models are also outlined. Current adoption trends are reviewed for consumers, providers and enterprises along with statistics on cloud adoption in Slovenia and market value predictions for 2015. Research challenges around cloud computing are noted to involve considerations for adoption related to business advantage,
From the server room to the board room, there is a lot of talk about “the cloud” — and for good reason. The cloud offers organizations — and their information technology (IT) staffs, in particular — a number of important benefits ranging from increased efficiencies to scalability. Taking advantage of these benefits requires understanding the various cloud models available and how they can best meet your organization’s specific needs.
Cloud computing involves delivering computing resources over a network, typically the Internet. It dates back to the 1950s but demand increased due to the need to make things easier and save on costs. By 2020, the cloud computing market is forecast to exceed $241 billion. There are three main deployment models - public cloud (external cloud), private cloud (internal cloud), and hybrid cloud (combination of both). The three main service models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). While cloud computing provides benefits like flexibility, cost savings, and scalability, there are also potential risks regarding security, ownership of data, and dependence on major providers.
This presentation attempts to first demystify what's Cloud, and why Cloud Computing is an absolute MUST to reduce Cost of Application Delivery. It then attempts to bring out the important role that DCIM will play in the Cloud Computing Infrastructure, as we head towards a world of Software Defined Data Centers.
The document provides recommendations for books on cloud computing concepts and technologies. It then discusses the history and drivers of the Fourth Industrial Revolution powered by cloud, social, mobile, IoT, and AI technologies. The document defines cloud computing and discusses characteristics such as on-demand access to computing resources, utility computing models, and service delivery of infrastructure, platforms, and applications. It also outlines some major cloud platform providers including Eucalyptus, Nimbus, OpenNebula, and the CloudSim simulation framework.
IRJET- Single to Multi Cloud Data Security in Cloud ComputingIRJET Journal
1) The document discusses security issues with storing data on a single cloud and proposes using a multi-cloud approach to increase security. It explores using encryption algorithms like AES and secret sharing to secure data across multiple clouds.
2) The key aspects of the proposed work are to store and operate on data blocks efficiently while preventing unauthorized access through encryption, decryption, and blocking of user IP addresses by the admin.
3) Migrating from a single cloud to a multi-cloud approach helps reduce security risks by distributing data across multiple cloud providers rather than relying on a single provider.
This document provides information about cloud computing types and deployment models. It discusses private cloud, which is for a single organization; public cloud, which provides services to the general public; hybrid cloud, which uses a combination of private and public clouds; and community cloud, which is shared between organizations with common interests. It also outlines common cloud software including OpenStack for managing resources, Hadoop for big data, and VMware for virtualization.
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
Presentation on cloud computing security issues using HADOOP and HDFS ARCHITE...Pushpa
we discuss security issues for cloud computing and present a layered framework for secure clouds and then focus on two of the layers, i.e., the storage layer and the data layer. In particular, we discuss a scheme for secure third party publications of documents in a cloud. Next, we will converse secure federated query processing with map Reduce and Hadoop, and discuss the use of secure co-processors for cloud computing. Finally, we discuss XACML implementation for Hadoop and discuss their beliefs that building trusted applications from untrusted components will be a major aspect of secure
cloud computing.
This document provides an overview of cloud computing, including its definition, characteristics, architecture, services, service layers, types, how it works, data controller responsibilities, contractual issues, data protection, and privacy concerns. Cloud computing is defined as IT services provided over a network on a leased basis that can scale up or down as needed. It involves deploying remote servers and software that allow centralized data storage and access. The document outlines the various components, services, and service layers involved in cloud computing.
“The chapter is organized into two primary sections that explore cloud delivery model issues pertaining to cloud providers and cloud consumers respectively.”
This document discusses enabling technologies for cloud computing, focusing on service oriented architecture and representational state transfer (REST) systems. It describes service oriented architecture as a design approach involving independent services that communicate with each other over a network. It outlines the layered architecture for web services and grids, and compares grids and clouds, noting that grids apply static resources while clouds emphasize elastic resources. It provides a brief overview of REST, describing it as a way to get information content from websites by reading designated web pages containing XML files that describe and include preferred content.
Cloud Computing: Architecture, IT Security and Operational PerspectivesMegan Eskey
A 2010 presentation on NASA Nebula that makes no reference to OpenStack (or pinet) dated a month after OpenStack was released to the public as open source. There is no link between Nebula and OpenStack.
Overview of Cloud Computing, Infrastructure as a Service, Platform as a Service, Software as a Service.
Cloud computing means transferring ICT resources (servers, hosts, applications, databases, platforms etc.) to a cloud service provider (CSP) with the goal of reducing capital expenditures (CapEx).
Cloud computing differs from legacy hosting services in that CSPs offer standardized services on a massive scale which results in economy-of-scale effects thus further reducing operating expenses (OpEx).
Different cloud models such as public, private and hybrid clouds address different customer needs.
The 3 categories for the functional level of cloud services are IaaS (Infrastructure as a Service),
PaaS (Platform as a Service) and SaaS (Software as a Service). Countless models emerge almost daily such as MaaS (Management as a Service), BaaS (Backend as a Service) and NaaS (Network as a Service).
To accommodate increases in processing power, cloud services offer the possibility to scale-up or scale-out.
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.
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.
Dr. Michael Valivullah, NASS/USDA - Cloud Computingikanow
This document provides an overview of cloud computing. It defines cloud computing as a model enabling ubiquitous, convenient access to a shared pool of configurable computing resources that can be rapidly provisioned with minimal management effort. The document discusses different types of cloud services including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It also covers public and private cloud models and highlights benefits of cloud computing such as agility, cost reduction, and increased efficiency.
This presentation educates you about Cloud Computing, Cloud computing services and in it SaaS (Software-as-a-Service), PaaS (Platform-as-a-Service), IaaS (Infrastructure-as-a-Service), Types of cloud computing and Cloud security.
For more topics stay tuned with Learnbay.
Cloud Computing Security Issues in Infrastructure as a Service” reportVivek Maurya
This document provides an introduction to cloud computing security issues in infrastructure as a service (IaaS). It discusses how cloud computing works and the service models of software as a service, platform as a service, and IaaS. IaaS provides processing power, data storage, and other shared resources on a pay-as-you-go basis. The document focuses on security issues related to the IaaS model, examining security for service level agreements, utility computing, platform virtualization, networks and connectivity, and computer hardware. It also discusses how security issues with cloud software can impact IaaS and cloud computing overall.
Cloud computing that provides cheap and pay-as-you-go computing resources is rapidly gaining momentum as an alternative to traditional IT Infrastructure. As more and more consumers delegate their tasks to cloud providers, Service Level Agreements(SLA) between consumers and providers emerge as a key aspect. Due to the dynamic nature of the cloud, continuous monitoring on Quality of Service (QoS)
attributes is necessary to enforce SLAs. Also numerous other factors such as trust (on the cloud provider) come into consideration, particularly for enterprise customers that may outsource its critical data. This complex nature of the cloud landscape warrants a sophisticated means of managing SLAs. This paper proposes a mechanism for managing SLAs in a cloud computing environment using the Web Service Level Agreement(WSLA) framework, developed for SLA monitoring and SLA enforcement
in a Service Oriented Architecture (SOA). We use the third
party support feature of WSLA to delegate monitoring and enforcement tasks to other entities in order to solve the trust issues. We also present a real world use case to validate our proposal.
This document provides an overview of cloud computing, including definitions, models, and applications. It can be summarized as follows:
1) It defines cloud computing according to NIST and discusses the essential characteristics of cloud including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service.
2) It describes the three main service models of cloud - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS) - and the four deployment models of cloud including private, community, public, and hybrid clouds.
3) It gives examples of applications of cloud computing such as ECG analysis, protein
Cloud architectures can be thought of in layers, with each layer providing services to the next. There are three main layers: virtualization of resources, services layer, and server management processes. Virtualization abstracts hardware and provides flexibility. The services layer provides OS and application services. Management processes support service delivery through image management, deployment, scheduling, reporting, etc. When providing compute and storage services, considerations include hardware selection, virtualization, failover/redundancy, and reporting. Network services require capacity planning, redundancy, and reporting.
The aim of this paper is to make cloud service consumer aware about cloud computing fundamentals, its essential services, service models and deployment options. This also through light on security and risk management piece of CSA trusted cloud reference architecture, cloud control matrix and notorious nine threats and ENISAs top risks to cloud computing. At the end it talks about certifications and attestation part.
Webinar: Data Protection for KubernetesMayaData Inc
In this webinar, we will back-up many live workloads to the Cloudian Hyperstore from a Kubernetes environment running on a particular cloud. We will demonstrate the value of Cloudian’s WORM capabilities to show how workloads and their data can be protected from ransomware attacks. Later, we will recover workloads from the Cloudian HyperStore to another cloud vendor. We will also demonstrate streaming back-ups for use in cloud and hardware switch overs and other use cases.
Kubera from MayaData is the first solution to extend the per workload management of data offered by Container Attached Storage to back-ups and disaster recovery. Kubera is often used by small teams to establish and manage back-up policies whereby data is backed up to S3 compatible object storage. Kubera can also be used to provide a comprehensive view across all workloads of back-up and retention policies and to enable back-ground cloud migration and disaster recovery.
The document provides an overview of cloud computing concepts including cloud computing characteristics, service models, deployment models, and virtualization. It defines cloud computing according to NIST as a model enabling on-demand access to a shared pool of configurable computing resources that can be rapidly provisioned with minimal management effort. The five essential cloud characteristics are described as well as the three common service models of SaaS, PaaS, and IaaS. The four deployment models and benefits of virtualization technology are also summarized.
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.
IRJET- Single to Multi Cloud Data Security in Cloud ComputingIRJET Journal
1) The document discusses security issues with storing data on a single cloud and proposes using a multi-cloud approach to increase security. It explores using encryption algorithms like AES and secret sharing to secure data across multiple clouds.
2) The key aspects of the proposed work are to store and operate on data blocks efficiently while preventing unauthorized access through encryption, decryption, and blocking of user IP addresses by the admin.
3) Migrating from a single cloud to a multi-cloud approach helps reduce security risks by distributing data across multiple cloud providers rather than relying on a single provider.
This document provides information about cloud computing types and deployment models. It discusses private cloud, which is for a single organization; public cloud, which provides services to the general public; hybrid cloud, which uses a combination of private and public clouds; and community cloud, which is shared between organizations with common interests. It also outlines common cloud software including OpenStack for managing resources, Hadoop for big data, and VMware for virtualization.
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
Presentation on cloud computing security issues using HADOOP and HDFS ARCHITE...Pushpa
we discuss security issues for cloud computing and present a layered framework for secure clouds and then focus on two of the layers, i.e., the storage layer and the data layer. In particular, we discuss a scheme for secure third party publications of documents in a cloud. Next, we will converse secure federated query processing with map Reduce and Hadoop, and discuss the use of secure co-processors for cloud computing. Finally, we discuss XACML implementation for Hadoop and discuss their beliefs that building trusted applications from untrusted components will be a major aspect of secure
cloud computing.
This document provides an overview of cloud computing, including its definition, characteristics, architecture, services, service layers, types, how it works, data controller responsibilities, contractual issues, data protection, and privacy concerns. Cloud computing is defined as IT services provided over a network on a leased basis that can scale up or down as needed. It involves deploying remote servers and software that allow centralized data storage and access. The document outlines the various components, services, and service layers involved in cloud computing.
“The chapter is organized into two primary sections that explore cloud delivery model issues pertaining to cloud providers and cloud consumers respectively.”
This document discusses enabling technologies for cloud computing, focusing on service oriented architecture and representational state transfer (REST) systems. It describes service oriented architecture as a design approach involving independent services that communicate with each other over a network. It outlines the layered architecture for web services and grids, and compares grids and clouds, noting that grids apply static resources while clouds emphasize elastic resources. It provides a brief overview of REST, describing it as a way to get information content from websites by reading designated web pages containing XML files that describe and include preferred content.
Cloud Computing: Architecture, IT Security and Operational PerspectivesMegan Eskey
A 2010 presentation on NASA Nebula that makes no reference to OpenStack (or pinet) dated a month after OpenStack was released to the public as open source. There is no link between Nebula and OpenStack.
Overview of Cloud Computing, Infrastructure as a Service, Platform as a Service, Software as a Service.
Cloud computing means transferring ICT resources (servers, hosts, applications, databases, platforms etc.) to a cloud service provider (CSP) with the goal of reducing capital expenditures (CapEx).
Cloud computing differs from legacy hosting services in that CSPs offer standardized services on a massive scale which results in economy-of-scale effects thus further reducing operating expenses (OpEx).
Different cloud models such as public, private and hybrid clouds address different customer needs.
The 3 categories for the functional level of cloud services are IaaS (Infrastructure as a Service),
PaaS (Platform as a Service) and SaaS (Software as a Service). Countless models emerge almost daily such as MaaS (Management as a Service), BaaS (Backend as a Service) and NaaS (Network as a Service).
To accommodate increases in processing power, cloud services offer the possibility to scale-up or scale-out.
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.
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.
Dr. Michael Valivullah, NASS/USDA - Cloud Computingikanow
This document provides an overview of cloud computing. It defines cloud computing as a model enabling ubiquitous, convenient access to a shared pool of configurable computing resources that can be rapidly provisioned with minimal management effort. The document discusses different types of cloud services including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It also covers public and private cloud models and highlights benefits of cloud computing such as agility, cost reduction, and increased efficiency.
This presentation educates you about Cloud Computing, Cloud computing services and in it SaaS (Software-as-a-Service), PaaS (Platform-as-a-Service), IaaS (Infrastructure-as-a-Service), Types of cloud computing and Cloud security.
For more topics stay tuned with Learnbay.
Cloud Computing Security Issues in Infrastructure as a Service” reportVivek Maurya
This document provides an introduction to cloud computing security issues in infrastructure as a service (IaaS). It discusses how cloud computing works and the service models of software as a service, platform as a service, and IaaS. IaaS provides processing power, data storage, and other shared resources on a pay-as-you-go basis. The document focuses on security issues related to the IaaS model, examining security for service level agreements, utility computing, platform virtualization, networks and connectivity, and computer hardware. It also discusses how security issues with cloud software can impact IaaS and cloud computing overall.
Cloud computing that provides cheap and pay-as-you-go computing resources is rapidly gaining momentum as an alternative to traditional IT Infrastructure. As more and more consumers delegate their tasks to cloud providers, Service Level Agreements(SLA) between consumers and providers emerge as a key aspect. Due to the dynamic nature of the cloud, continuous monitoring on Quality of Service (QoS)
attributes is necessary to enforce SLAs. Also numerous other factors such as trust (on the cloud provider) come into consideration, particularly for enterprise customers that may outsource its critical data. This complex nature of the cloud landscape warrants a sophisticated means of managing SLAs. This paper proposes a mechanism for managing SLAs in a cloud computing environment using the Web Service Level Agreement(WSLA) framework, developed for SLA monitoring and SLA enforcement
in a Service Oriented Architecture (SOA). We use the third
party support feature of WSLA to delegate monitoring and enforcement tasks to other entities in order to solve the trust issues. We also present a real world use case to validate our proposal.
This document provides an overview of cloud computing, including definitions, models, and applications. It can be summarized as follows:
1) It defines cloud computing according to NIST and discusses the essential characteristics of cloud including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service.
2) It describes the three main service models of cloud - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS) - and the four deployment models of cloud including private, community, public, and hybrid clouds.
3) It gives examples of applications of cloud computing such as ECG analysis, protein
Cloud architectures can be thought of in layers, with each layer providing services to the next. There are three main layers: virtualization of resources, services layer, and server management processes. Virtualization abstracts hardware and provides flexibility. The services layer provides OS and application services. Management processes support service delivery through image management, deployment, scheduling, reporting, etc. When providing compute and storage services, considerations include hardware selection, virtualization, failover/redundancy, and reporting. Network services require capacity planning, redundancy, and reporting.
The aim of this paper is to make cloud service consumer aware about cloud computing fundamentals, its essential services, service models and deployment options. This also through light on security and risk management piece of CSA trusted cloud reference architecture, cloud control matrix and notorious nine threats and ENISAs top risks to cloud computing. At the end it talks about certifications and attestation part.
Webinar: Data Protection for KubernetesMayaData Inc
In this webinar, we will back-up many live workloads to the Cloudian Hyperstore from a Kubernetes environment running on a particular cloud. We will demonstrate the value of Cloudian’s WORM capabilities to show how workloads and their data can be protected from ransomware attacks. Later, we will recover workloads from the Cloudian HyperStore to another cloud vendor. We will also demonstrate streaming back-ups for use in cloud and hardware switch overs and other use cases.
Kubera from MayaData is the first solution to extend the per workload management of data offered by Container Attached Storage to back-ups and disaster recovery. Kubera is often used by small teams to establish and manage back-up policies whereby data is backed up to S3 compatible object storage. Kubera can also be used to provide a comprehensive view across all workloads of back-up and retention policies and to enable back-ground cloud migration and disaster recovery.
The document provides an overview of cloud computing concepts including cloud computing characteristics, service models, deployment models, and virtualization. It defines cloud computing according to NIST as a model enabling on-demand access to a shared pool of configurable computing resources that can be rapidly provisioned with minimal management effort. The five essential cloud characteristics are described as well as the three common service models of SaaS, PaaS, and IaaS. The four deployment models and benefits of virtualization technology are also summarized.
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 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.
The document defines cloud computing and its key characteristics, service models, and deployment models. Specifically, it provides definitions for cloud computing and its essential characteristics of on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. It also describes the three cloud computing service models of Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Finally, it outlines the four deployment models of private cloud, public cloud, hybrid cloud, and community cloud.
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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.
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.
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.
Cloud Computing basic concept to understandRahulBhole12
Cloud computing is a model that provides convenient access to a shared pool of configurable computing resources. 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 provides advantages of reduced costs and increased scalability and flexibility compared to traditional computing models.
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.
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 provides an overview of cloud computing, including definitions, models, and applications. It begins with definitions of cloud computing from various experts and the National Institute of Standards and Technology (NIST). It then covers NIST's essential characteristics, service models (SaaS, PaaS, IaaS), deployment models (private, public, hybrid, community), and reference architecture including the roles of cloud consumers, providers, brokers, auditors, and carriers. The document also discusses applications of cloud computing such as ECG analysis, protein structure prediction, and social networking. It concludes with typical commercial terms of service agreements between cloud providers and consumers.
This document discusses cloud computing and disaster recovery in the cloud. It defines cloud computing and its key characteristics like on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. It also describes the different cloud service models like SaaS, PaaS, and IaaS. The document then discusses how the cloud can be used for backup, archiving, and disaster recovery. It emphasizes the differences between backup, archiving, and disaster recovery. Finally, it outlines some of the benefits of using the cloud for disaster recovery like faster recovery times, cost savings, scalability, and security.
Cloud computing is a model for enabling network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort. Essential characteristics of cloud computing include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Common cloud computing service models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Deployment models include private cloud, public cloud, community cloud, and hybrid cloud.
The document discusses the basics of cloud computing. It defines cloud computing according to NIST and other sources as a model for enabling ubiquitous and convenient on-demand access to a shared pool of configurable computing resources that can be rapidly provisioned with minimal management effort. It describes the essential characteristics of cloud computing including on-demand self-service, broad network access, resource pooling, and measured service. The document also discusses the common cloud services models of SaaS, PaaS, and IaaS and the different types of cloud deployment models including private, public, hybrid and community clouds. Finally, it outlines several advantages of cloud computing such as lower costs, improved performance, unlimited storage and universal access to information.
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NewBase 20 June 2024 Energy News issue - 1731 by Khaled Al Awadi_compressed.pdfKhaled Al Awadi
Greetings,
Hawk Energy is pleased to present you with the latest energy news
NewBase 20 June 2024 Energy News issue - 1731 by Khaled Al Awadi
Regards.
Founder & S.Editor - NewBase Energy
Khaled M Al Awadi, Energy Consultant
MS & BS Mechanical Engineering (HON), USAGreetings,
Hawk Energy is pleased to present you with the latest energy news
NewBase 20 June 2024 Energy News issue - 1731 by Khaled Al Awadi
Regards.
Founder & S.Editor - NewBase Energy
Khaled M Al Awadi, Energy Consultant
MS & BS Mechanical Engineering (HON), USAGreetings,
Hawk Energy is pleased to present you with the latest energy news
NewBase 20 June 2024 Energy News issue - 1731 by Khaled Al Awadi
Regards.
Founder & S.Editor - NewBase Energy
Khaled M Al Awadi, Energy Consultant
MS & BS Mechanical Engineering (HON), USAGreetings,
Hawk Energy is pleased to present you with the latest energy news
NewBase 20 June 2024 Energy News issue - 1731 by Khaled Al Awadi
Regards.
Founder & S.Editor - NewBase Energy
Khaled M Al Awadi, Energy Consultant
MS & BS Mechanical Engineering (HON), USAGreetings,
Hawk Energy is pleased to present you with the latest energy news
NewBase 20 June 2024 Energy News issue - 1731 by Khaled Al Awadi
Regards.
Founder & S.Editor - NewBase Energy
Khaled M Al Awadi, Energy Consultant
MS & BS Mechanical Engineering (HON), USAGreetings,
Hawk Energy is pleased to present you with the latest energy news
NewBase 20 June 2024 Energy News issue - 1731 by Khaled Al Awadi
Regards.
Founder & S.Editor - NewBase Energy
Khaled M Al Awadi, Energy Consultant
MS & BS Mechanical Engineering (HON), USA
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