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Questions and Answers
What type of cloud architecture provides a complete platform for developing and deploying applications?
What type of cloud architecture provides a complete platform for developing and deploying applications?
- Platform as a Service (PaaS) (correct)
- Infrastructure as a Service (IaaS)
- Community Cloud
- Software as a Service (SaaS)
Which of the following is NOT a deployment model of cloud computing?
Which of the following is NOT a deployment model of cloud computing?
- Private Cloud
- Personal Cloud (correct)
- Hybrid Cloud
- Public Cloud
What is the main concern of cloud security?
What is the main concern of cloud security?
- Data Breaches
- Compliance and Governance
- Unauthorized Access
- All of the above (correct)
What is the primary goal of utility computing?
What is the primary goal of utility computing?
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When did the concept of remote computing and virtualization emerge?
When did the concept of remote computing and virtualization emerge?
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What is the main characteristic of cloud computing according to the NIST model?
What is the main characteristic of cloud computing according to the NIST model?
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What is the main benefit of cloud computing?
What is the main benefit of cloud computing?
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What is the main difference between cloud computing and cluster computing?
What is the main difference between cloud computing and cluster computing?
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Why are open standards important in cloud computing?
Why are open standards important in cloud computing?
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What is the main risk of cloud computing?
What is the main risk of cloud computing?
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Study Notes
Cloud Architecture
- Infrastructure as a Service (IaaS): provides virtualized computing resources over the internet
- Platform as a Service (PaaS): provides a complete platform for developing and deploying applications
- Software as a Service (SaaS): provides software applications over the internet
- Deployment models: Public, Private, Hybrid, and Community Clouds
- Key components: Front-end (client-side), Back-end (server-side), and Middleware (connects front-end and back-end)
Cloud Computing Services
- IaaS providers: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP)
- PaaS providers: Heroku, Google App Engine, Microsoft Azure
- SaaS providers: Salesforce, Microsoft Office 365, Google Workspace
- Cloud brokerage services: acts as an intermediary between cloud providers and customers
Cloud Security
- Security concerns: data breaches, unauthorized access, data loss, and compliance
- Security measures: encryption, firewalls, access controls, and auditing
- Compliance and governance: HIPAA, PCI-DSS, and GDPR
Recent Trends in Computing
- Grid computing: coordinates resources across multiple organizations
- Cluster computing: groups computers to achieve high performance
- Distributed computing: breaks down complex tasks into smaller tasks executed on multiple computers
- Utility computing: provides computing resources on-demand, similar to cloud computing
- Cloud computing: provides on-demand access to a shared pool of computing resources
Evolution of Cloud Computing
- 1960s: concept of remote computing and virtualization emerged
- 1990s: internet and web-based services gained popularity
- 2000s: cloud computing started to take shape with the introduction of IaaS and PaaS
- 2010s: cloud computing became mainstream with the rise of SaaS and public cloud providers
Cloud Computing (NIST Model)
- Introduction to cloud computing: on-demand access to a shared pool of computing resources
- History: from remote computing to cloud computing
- CSPs (Cloud Service Providers): Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP)
Properties, Characteristics, and Disadvantages
- Properties: on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service
- Characteristics: scalability, flexibility, and multi-tenancy
- Disadvantages: security risks, vendor lock-in, and dependence on internet connectivity
Benefits, Risks, and Challenges
- Benefits: cost savings, increased agility, and scalability
- Risks: security breaches, data loss, and vendor lock-in
- Challenges: integration with existing systems, SLA management, and compliance
Cloud Computing vs Cluster Computing vs Grid Computing
- Cloud computing: provides on-demand access to a shared pool of computing resources
- Cluster computing: groups computers to achieve high performance
- Grid computing: coordinates resources across multiple organizations
Open Standards
- Importance of open standards: ensures interoperability, portability, and scalability
- Examples of open standards: Open Virtualization Format (OVF), Cloud Security Alliance (CSA) STAR, and Open Cloud Computing Interface (OCCI)
Cloud Architecture
- IaaS: provides virtualized computing resources, such as servers, storage, and networking, over the internet
- PaaS: provides a complete platform for developing and deploying applications, including tools, libraries, and infrastructure
- SaaS: provides software applications over the internet, eliminating the need for local installation and maintenance
- Deployment models: Public Cloud (third-party provider), Private Cloud (single organization), Hybrid Cloud (combination of public and private), and Community Cloud (shared among multiple organizations)
- Key components: Front-end (client-side), Back-end (server-side), and Middleware (connects front-end and back-end)
Cloud Computing Services
- IaaS providers: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP) offer virtualized computing resources
- PaaS providers: Heroku, Google App Engine, Microsoft Azure provide a complete platform for developing and deploying applications
- SaaS providers: Salesforce, Microsoft Office 365, Google Workspace offer software applications over the internet
- Cloud brokerage services: act as an intermediary between cloud providers and customers, helping to select and manage cloud services
Cloud Security
- Security concerns: data breaches, unauthorized access, data loss, and compliance issues
- Security measures: encryption, firewalls, access controls, and auditing to protect cloud resources
- Compliance and governance: regulations such as HIPAA, PCI-DSS, and GDPR ensure cloud security and compliance
Recent Trends in Computing
- Grid computing: coordinates resources across multiple organizations to achieve high performance and scalability
- Cluster computing: groups computers to achieve high performance and scalability
- Distributed computing: breaks down complex tasks into smaller tasks executed on multiple computers
- Utility computing: provides computing resources on-demand, similar to cloud computing
- Cloud computing: provides on-demand access to a shared pool of computing resources
Evolution of Cloud Computing
- 1960s: concept of remote computing and virtualization emerged
- 1990s: internet and web-based services gained popularity
- 2000s: cloud computing started to take shape with the introduction of IaaS and PaaS
- 2010s: cloud computing became mainstream with the rise of SaaS and public cloud providers
Cloud Computing (NIST Model)
- Introduction to cloud computing: on-demand access to a shared pool of computing resources
- History: development of cloud computing from remote computing to cloud computing
- CSPs (Cloud Service Providers): Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP) offer cloud services
Properties, Characteristics, and Disadvantages
- Properties: on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service
- Characteristics: scalability, flexibility, and multi-tenancy
- Disadvantages: security risks, vendor lock-in, and dependence on internet connectivity
Benefits, Risks, and Challenges
- Benefits: cost savings, increased agility, and scalability
- Risks: security breaches, data loss, and vendor lock-in
- Challenges: integration with existing systems, SLA management, and compliance
Cloud Computing vs Cluster Computing vs Grid Computing
- Cloud computing: provides on-demand access to a shared pool of computing resources
- Cluster computing: groups computers to achieve high performance and scalability
- Grid computing: coordinates resources across multiple organizations to achieve high performance and scalability
Open Standards
- Importance of open standards: ensures interoperability, portability, and scalability
- Examples of open standards: Open Virtualization Format (OVF), Cloud Security Alliance (CSA) STAR, and Open Cloud Computing Interface (OCCI)
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